The PRWIRE Press Releases https:// 2020-01-15T00:32:14Z SAS delivers priceless retail planning capabilities in the hypercompetitive Age of Amazon 2020-01-15T00:32:14Z sas-delivers-priceless-retail-planning-capabilities-in-the-hypercompetitive-age-of-amazon NRF 109th NRF Big Show and EXPO, New York (Jan 13, 2020) Recent enhancements to the SAS® Intelligent Planning Suite have infused it with artificial intelligence (AI) and cloud agility to help companies localize assortments, optimize inventory, automate forecasting and maximize profits. Leading companies like Carrefour, Grupo Exito and Nestle rely on analytics leader SAS and its proven portfolio of software and services to succeed despite fierce competition. Effective planning makes a bottom-line difference whether a retailer sells electronics, groceries or apparel. Manufacturing goods like candy bars, tires or blue jeans also require precise forecasting and planning. In the end, the most successful companies use data and analytics like artificial intelligence (AI) and machine learning to satisfy shifting consumer demand. For Grupo Exito, South America’s largest retail group, demand planning is a critical function that influences the business from sales and staffing to production and inventory replenishment. With 2,600 brick-and-mortar outlets and a thriving online business, improving its inventory position even by a small percentage can result in big improvements overall. In Grupo Exito’s case, a foundation of SAS analytics helps reduce and optimize inventory, improve forecast accuracy, improve demand planning efficiency, and analyse demand data in nearly real time. Formerly constrained by data, Grupo Exito now freely manages burgeoning databases. That agility helps the retailer manage its supply chain more precisely. “Before we couldn’t have future forecasts; we could only plan one week ahead,” said Sandra Orrego, Demand Planning Manager at Grupo Exito. “Now with SAS, we can plan 52 weeks ahead which helps us make more accurate purchases, manage inventory volume, decrease shrink and increase sales without having so many inventories.” “AI and advanced analytics like machine learning are transforming the retail industry, and as tech companies like SAS continue to innovate, leading retailers embrace more intelligent and data-driven decision making,” said Brian Kilcourse, Managing Partner at market-intelligence company RSR. “By optimizing product assortments, pricing and inventory management, these retailers improve their customers’ experience while increasing sales.” According to a recent RSR survey, only half of retailers are satisfied with their current merchandising and pricing technologies. “That’s good news for technology leaders, and it underscores a strong desire by retailers to improve their retail forecasting and merchandise planning,” said Kilcourse. Read more in RSR’s 2019 Mastering The Art Of Merchandising In The Technology Age benchmark report. “Retailers around the world are looking for innovative ways to leverage artificial intelligence (AI) to drive smarter retail decisions,” said Shiva Kommareddi, Managing Partner of Core Compete, a cloud analytics services firm. “SAS Intelligent Planning builds on its 30-year history of providing cutting-edge and integrated solutions for retail planning and merchandising as well as consumer goods demand planning. A multi-cloud solution like SAS provides retail IT executives an agile, innovative choice while retaining the option to switch to alternative cloud providers”. “Cloud-ready, powerful SAS analytics help retailers create a holistic view of customers without the need for an army of statisticians,” said Dan Mitchell, SAS Director of Retail and CPG. “Rather, with automated machine learning and other AI technology that’s instantly deployable through the cloud or on premise, SAS advanced analytics help retailers better understand and serve their customers, optimize merchandise planning, and boost overall results.” Recent enhancements to SAS® Intelligent Planning Suite leverage the power of SAS® Viya®, a single consolidated and cohesive environment for large-scale data manipulation, exploration, advanced analytics and AI. SAS Intelligent Planning helps retailers and consumer goods manufacturers create a 360-degree view of customers, and it gives them the ability to infuse advanced analytics throughout all processes to:   ·         Localize merchandise assortments, customized by market, region, city or individual store ·         Enhance the accuracy of sales planning and forecasts ·         Optimize inventories to maximize customer satisfaction and minimize stock-outs ·         Set effective prices to maximize profitability and minimize deep-clearance discounting To learn more about helping retailers effectively connect with consumers, download the whitepaper Experience 2030 – The Future of Customer Experience is Now. Follow SAS on Twitter at @SASsoftware and @SASRetail. Follow NRF 2020 news at #SASatNRF. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.   Study: Companies using AI and IoT together catapult ahead of competitors using IoT alone 2019-10-29T23:40:05Z study-companies-using-ai-and-iot-together-catapult-ahead-of-competitors-using-iot-alone IoT Solutions World Congress, Barcelona (Oct 29, 2019) A recent survey of global business leaders reveals the most significant predictor in realizing value from Internet of Things (IoT) initiatives across an organization is the heavy use of artificial intelligence (AI). Ninety percent of survey respondents heavily using AI in their IoT operations reported exceeding value expectations. The research also showed organizations using IoT with AI appear to be more competitive than IoT-only enterprises by a double-digit margin across a variety of business indicators like employee productivity, innovation and operating costs. “In these results, we are seeing that organizations working with IoT data realize that if they want to get the real value out of the data, they need AI and analytics,” said Oliver Schabenberger, Chief Operating Officer at SAS. “I think it is fair to say that most successful IoT operations are actually AIoT operations.” AIoT is defined as decision making aided by AI technologies in conjunction with connected IoT sensor, system or product data. AI technologies include deep learning, machine learning, natural language processing, voice recognition and image analysis. Business leaders expect to increase revenue with AIoT The study, conducted by SAS, Deloitte and Intel with research and analysis from IDC, asked 450 business leaders from around the world about their use of IoT and AI technologies. Other key findings include: ·         79% of senior leaders are involved in IoT project decisions, and 92% of those leaders say that AIoT value exceeds expectations. ·         68% of companies rely on IoT data to inform daily operational decisions through spreadsheets and other non-AI technology. Only 12% of respondents use IoT to inform planning decisions, but when AI enters the picture, respondents using the data for daily planning increases to 31%. ·         34% of respondents said increasing revenue is the top goal for using AIoT. That’s followed by improving the ability to innovate (17.5%), offering customers new digital services (14.3%), and decreasing operational costs (11.1%). ·         Companies that have developed AIoT capabilities report stronger results across critical organizational goals including the ability to speed up operations, introduce new digital services, improve employee productivity and decrease costs. For example, companies using IoT data to speed up operations without AI saw a 32% increase; companies adding AI to the mix saw speeds improve by 53%. ·         Business intelligence (33%), near-real-time monitoring and visibility (31%), and condition-based monitoring (30%) topped the list of analysis techniques used with IoT projects. “AI and IoT are no longer in separate swim lanes,” said Melvin Greer, Chief Data Scientist at Intel Americas. “AI closes the loop in an IoT environment where IoT devices gather or create data, and AI helps automate important choices and actions based on that data. Today, most organizations using IoT are only at the first ‘visibility’ phase where they can start to see what’s going on through IoT assets. But they’re moving toward the reliability, efficiency and production phases, which are more sophisticated and require stronger AI capabilities.”  AIoT capabilities play a bigger-than-expected role in rapid planning processes Companies relying on IoT data to inform daily decision making overwhelmingly use it for operational decisions (68%) by employing spreadsheets and other non-AI technology. For Gautam Khera, Senior Director at Western Digital, a leading infrastructure provider, AI already has a practical impact on the company’s IoT strategy. “How do we build our storage devices and learn fast?” he said. “How do we ensure the quality and yield? How do we get a faster time-to-market, time-to-cost? We’re using AI schemes to help us do that internally in our development processes, in our R&D, and in our factories.” This important leap signals that AI opens the door to more sophisticated and rapid decision making that significantly affects results. It broadens focus from operational problems like, ‘Is the equipment running or not?’ to decisions about supply and demand, product quality, retail merchandising, or the spread of illness in a health care facility. IDC’s Maureen Fleming, Program Vice President for Intelligent Process Automation, agrees with Khera. “Improving the speed of data refresh in collecting sensor data combined with AI expands an organization’s ability to focus on immediate planning while also quickly identifying and resolving operational problems. The combination produces greater agility and more efficiency.” Manufacturers among top industries putting AIoT into play Western Digital’s Khera said they had to be persistent and keep pushing on pairing IoT data with AI. “Those projects are now our plan of record process to use AI,” said Khera. “It’s working well, and it’s trusted across the board. We are now using advanced analytics to help us tackle problems in R&D. I can use various advanced analytic techniques to understand the shape of my data, to understand the features, what are the drivers, I can look for hidden effects for anomalies that traditional techniques or the human eye just won’t see.” Jay Cei, Chief Operating Officer at Ulbrich Steel, a global metal manufacturer, said his priority is to gain acceptance for AIoT across the company. “People are going to fear losing their jobs,” Cei said. “What I really believe is [AIoT] is going to enable them to function at least two levels higher than they can now. I really see these operators functioning as business unit managers as a result of this. I’m looking at SAS® Analytics for IoT as one of the AI-embedded solutions for me to use to get us to be able to better execute our capabilities-driven strategy.” AIoT success means starting at the top For AIoT success, the bottom line is to start at the top according to Andy Daecher, Principal, Deloitte Consulting LLP and Internet of Things Practice Leader. “These initiatives really have to be on the CEO’s agenda,” Daecher said. “He or she needs to repeatedly say, ‘this needs to happen in our organization.’ You can’t have a successful AIoT initiative without the business initiating it, period. These are really business initiatives, not technology initiatives.”  Download the full report, AIoT- How IoT Leaders Are Breaking Away, from SAS. Follow SAS on Twitter @SASsoftware, on LinkedIn, and on Facebook. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. New global research: What will customer experience look like in 2030? 2019-10-24T02:05:16Z new-global-research-what-will-customer-experience-look-like-in-2030 ANALYTICS EXPERIENCE, Milan (Oct 22, 2019) Modern technology has upended the way brands and consumers engage. New products, services, consumers, and competitors have arrived and keep evolving. Consumer behavior, likes and dislikes continue to change. What will the customer experience look like in 2030? And how will brands evolve to meet the expectations of future consumers? These are some of the questions addressed in “Experience 2030: The Future of Customer Experience” by Futurum Research and sponsored by SAS, the leader in analytics. The research found that technology will be the major driver behind the reimagined customer experience (CX), and that brands must rethink their customer ecosystems to keep pace with empowered consumers and evolving consumer technologies. Agility and extreme automation will drive CX By 2030, the brands surveyed in the study see a massive shift toward the automation of customer engagements. The research anticipates that smart machines will replace humans and handle roughly two-thirds of customer engagement, decisions made during real-time engagement, and decisions around marketing and promotional campaigns. According to the research, by 2030, 67% of customer engagement between a brand and consumer using digital devices (online, mobile, etc.) will be completed by smart machines rather than the human agents of today. And by 2030, 69% of decisions made during a customer engagement will be completed by smart machines. “It is becoming increasingly clear that there will be a rapid growth in the relationship between humans and machines over the next decade,” said Daniel Newman, Principal Analyst and Founding Partner at Futurum Research. “Companies will have to strike a delicate balance between providing highly empathic human-like experiences with the instantaneous results that consumers have come to expect. Technology will be the bridge as data, analytics, machine learning and AI will enable machines to deliver this balance in a more humanistic way that satisfies customers and delivers increased efficiencies to the enterprise.” Consumers embrace emerging tech Per the study, 78% of brands believe consumers are uneasy dealing with technology today in stores. Yet the study found that only 35% of consumers expressed this unease. This gap between the beliefs of brands and their consumers could be a limiting factor in these brands’ growth if they are not careful. In fact, according to the survey results consumers are expecting to further embrace new technologies by 2030: a.      80% say they expect to accept delivery of a product by drone or autonomous vehicle. b.      81% say they expect to engage with chatbots. c.      78% expect to use an augmented, virtual, or mixed reality app to see how a product will look – such as how a piece of clothing might look on a shopper or how a piece of furniture might look in a home. d.      56% expect to be “visiting” remote locations or experiencing vacation and entertainment events through mixed reality devices by 2025. e.      8 out of 10 expect to use a smart assistant (such as Google Home, Amazon Alexa, etc.) to make an online purchase or control a smart home. f.       78% say they expect they’ll be controlling other devices with their wearables. For brands, this level of consumer acceptance – and expectation – opens new opportunities for broadening consumer engagement. But to meet rising expectations on both sides, brands require new capabilities to close the gap between consumer technology and marketing technology. “Tracing a customer through their journey entails a forensic understanding of the customer across endless journey permutations – customers want to be remembered and understood as they crisscross myriad channels, touchpoints and contexts,” said Wilson Raj, Global Director of SAS Customer Intelligence. “Brands must reinvent their operating models to act at speed. They need a holistic data strategy that they can personalize at scale, journey analytics capabilities that can adapt in real time, and enable a self-reinforcing cycle of tailored experiences.” Emerging tech will underpin brand success over the next decade The future of CX will be shaped in large part by evolving technologies. The research asked brands what “futuristic” technologies they are investing in today to shepherd in new customer experiences and increase customer satisfaction by 2030. “The empowered new buyer is capitalizing on emerging technologies and exerting tremendous pressure on the technology needs of marketing organizations,” said Raj. For CMOs, these forces create a “moving target” problem: It's hard to gain a leading edge on something that’s constantly advancing. And this is problematic because consumers expect ‘always-on’ access and service and to interact with a brand on their terms.” Per the study, 62% of brands are investing in voice-based AI assistants to improve customer engagement strategies and as a customer support asset. Another 58% are investing in voice-based AI as an internal marketing and sales asset. For augmented and virtual reality (AR/VR), 54% of brands are investing in it to help consumers visualize the look or use of a product or service remotely. And 53% of brands are pursuing AR/VR tools to improve product use and self-help. The study also found that 83% of brands are investing or plan to invest in holographic technology for in-store advertising, interactive gaming and public events. All these emerging and more complex customer engagement technologies mean that brands must re-think their data management proficiency, analytical optimization processes and automated decision making capabilities. They must be able to use these new technologies to achieve tangible business outcomes. These new applications will be capable of ingesting, processing, analyzing, designing and deciding how to deliver multi-moment marketing that will continue to resonate into the future. Loyalty drivers in 2030 Today 58% of brands cite high quality as the top factor likely to drive consumer loyalty, but most consumers cite low costs or discounts as their top driver. But by 2030, consumers cite mobile apps, high-speed access and ordering via smart home systems as the top three technologies driving loyalty. Brands agree, and believe that AI, machine learning and predictive analytics will play a large role too. Brands are looking at 2030 as an opportunity to use technology to both provide smooth engagement and the intelligence behind the engagement, needed to deliver deeper, more meaningful customer relationships and increased loyalty. Added Newman, “Building loyalty is a critical component for brand growth, and over the next 10 years we will see increased nuance and complexity beyond the traditional price, quality and service matrix that has long stood at the core of loyalty propositions. In the future, the way companies embrace technology, drive speed to market (and consumer) and deliver and measure social impact will all play a bigger role in loyalty. This is already starting to happen today, and its importance will multiply by 2030.” The evolving importance of trust Perhaps the biggest challenge for brands today, is the ability to overcome the trust gap that exists between brands and consumers. Consumers are wary of how brands treat their personal data and feel powerless to change it. Only 54% of consumers trust brands to keep their data private. In fact, 73 percent of consumers believe the use of their personal data is “out of control.” This is a challenge for brands as they work to balance the CX they can deliver as a result of richness of the user data they collect with the trust concerns of the consumer. But the research indicates that brands do understand the risks they face. 59 percent of brands strongly agree that securing customer information is the single most important factor in ensuring a strong CX. However, are brands ready? The research suggests some challenges as 84% are concerned about changes in governmental regulations regarding privacy and their readiness to meet them. "As consumers continue to use technology that opens their lives to others, they have dual expectations of businesses: Understand me as an individual and protect my privacy. Therein lies the opportunity to achieve balance when crafting customer experiences," added Raj. Survey methodology Beginning in May 2019, Futurum Research surveyed more than 4,000 panelists, spanning three dozen countries across a range of consumer, industry and government sectors. For more information, please visit sas.com/experience2030. Today's announcement was made at the Analytics Experience conference in Milan, Italy, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. Editorial contacts: SAS Corporate HQ Angela Lipscomb (919) 531-2525 Getting Started with SAS Contact Us & General Questions Pricing, Licensing & Price Requests Request a Sales Demo Free Software Trials Training Resources Free How-To Tutorials Student & Educator Resources Customer Support Accessibility Certification Knowledge Base Documentation SAS Books Training User Groups Insights & Tren SAS moves organizations’ open source models beyond the lab to enable smarter, faster decisions 2019-10-24T00:59:13Z sas-moves-organizations-open-source-models-beyond-the-lab-to-enable-smarter-faster-decisions ANALYTICS EXPERIENCE, Milan (Oct 22, 2019) The accelerated adoption of AI and machine learning, paired with the accessibility of open source software has data scientists churning out more analytical models than ever. However, there hasn’t been a corresponding increase in business value since few models make it out of the lab and into production. SAS, the leader in analytics, wants to change this. With the release of SAS® Open Model Manager, SAS is helping organizations operationalize open source models and put their data to work for smarter, faster business decisions. Many organizations struggle to complete the last mile of analytics, in part because of cumbersome manual processes and inconsistent collaboration between IT and business users. The burden of moving models from development to deployment is significantly eased by improving model development, production and automation. An IDC survey noted that less than half of organizations can claim that their analytical models are sufficiently put to work, and only 14% say that the output of data scientists is fully operationalized.* SAS Open Model Manager helps organizations streamline the process for analytical models to go quickly from the lab into production, and closely monitors and revalidates the performance of these models. “Organizations have a good handle on building and training analytical models, including open source ones, but there is often a gap when it comes to operationalizing those models and pushing them into production, and a lot of the work done by data scientists is lost,” said Chandana Gopal, Research Director, Business Analytics at IDC. “There is a need in the market for a new generation of model management solutions that allow data scientists to develop models in any language of their choice, and to properly catalog and deploy their analytical models. With this capability organizations can harness the value of their analytical assets and improve transparency through continuous monitoring.” Realizing business value with model management Philippines-based Globe Telecom faced model deployment challenges. While the mobile and broadband provider was implementing models in both SAS and open source, its process was manual, slow and lacked governance. With SAS, Globe has dramatically reduced deployment time while seamlessly working in both SAS and open source software. “Globe uses analytical models to make the right offers to our 65 million customers, to build and strengthen our relationships with them, and to drive better and faster business decisions,” said Dan Natindim, VP and Enterprise Data Officer at Globe Telecom. “With SAS, Globe analyzes all the data available, including customer, billing and network data, and through SAS and open source analytical models, we work to meet each customer’s individual needs.” Registering, deploying and monitoring open source models Bringing together data scientists and IT/DevOps, SAS Open Model Manager helps organizations register, deploy and monitor open source models in one central environment. Available in November, the solution offers seamless integration with Python and R. Users can compare and assess different models, manage champion and challenger models, and access built-in performance reports to quickly evaluate whether to retrain, retire or develop new models. Simplified publishing and scoring steps provide flexibility to deploy models with just a few clicks, both in batch and real time, with different operational environments. SAS Open Model Manager also improves governance by helping users better understand the function and performance of deployed models over time. Without the ability to continuously monitor a model’s degradation, business value and opportunity is rapidly lost. SAS Open Model Manager will be delivered through container-enabled infrastructures, including Docker and Kubernetes, providing a portable, lightweight image that can be deployed in private or public clouds. Designed specifically to meet the needs of the open source community, no additional SAS technology is needed. ModelOps is another key ingredient in the last mile of analytics, where organizations move models from the data science lab into IT production as quickly as possible while ensuring quality results. The practice of ModelOps enables organizations to manage and scale models to meet demand and continuously monitor them to spot and fix early signs of degradation. Organizations that fail to embrace ModelOps face increasing challenges in scaling analytics and fall short of the competition. Today's announcement was made at the Analytics Experience conference in Milan, Italy, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues. * IDC’s Advanced and Predictive Analytics survey and interviews, n = 400, 2017 – 2019 About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. SAS is No. 1 in advanced and predictive analytics market share, says analyst report 2019-10-24T00:49:57Z sas-is-no-1-in-advanced-and-predictive-analytics-market-share-says-analyst-report-2 ANALYTICS EXPERIENCE, Milan (Oct 22, 2019) SAS again ranks number one for market share, according to the IDC report, Worldwide Big Data and Analytics Software 2018 Market Shares: Demand Across All Use-Case Patterns.[1] SAS led with a 27.7% market share in the advanced and predictive analytics category in 2018, more than twice that of the next competitor. SAS has led in the predictive and advanced analytics category since IDC started tracking the market in 1997 and has shown continued revenue growth in the category each year. “As the volume and complexity of data grows, and as organizations seek to make better, faster business decisions, the need for advanced and predictive analytics like those from SAS is expanding,” said Chandana Gopal, Research Manager for Business Analytics at IDC. “SAS is the leader in advanced and predictive analytics market share and has experienced continued growth year over year. “SAS continues to innovate in AI and the technologies that underpin it like machine learning, natural language generation and computer vision. The analytics leader remains laser-focused on meeting the market’s evolving need for powerful analytics to transform data into value.” SAS reinvests into R&D more than twice the average for major technology firms. In 2018, SAS devoted 26% of its overall revenue into developing artificial intelligence (AI), IoT, data management and analytics software. To continue fostering innovation and progress in analytics, SAS has committed to invest $1 billion in AI over the next three years. “Our continuous innovation, clearly exhibited in the SAS Platform and in SAS AI technologies, propels front-line managers, executives and data scientists to change the trajectory of their organizations with advanced analytics,” said Jim Goodnight, CEO of SAS. “Whether it’s providing teams of data scientists with advanced machine learning capabilities or delivering analytics that give decision makers real-time answers, SAS is committed to helping put data and analytics to work, making them accessible to all types of users and driving value to an organization’s bottom line.” Additionally, SAS ranks second in AI software market share according to the IDC report, Worldwide Analytic Artificial Intelligence Software Platform Market Shares, 2018: Steady Growth – Moving Toward Production (Doc #US45262419, June 2019). The report notes that while the overall AI market saw steady growth last year, SAS experienced growth at a rate more than three times faster than the overall market at 104.6%. The SAS® Platform provides a strong analytics foundation and a single place to manage and support every phase of an organization’s analytics journey, from initial gathering and preparing of data, through development, management and enterprise deployment of powerful analytical models. An integrated part of the SAS Platform, SAS® Viya® is a cloud-enabled, in-memory analytics engine that provides quick, accurate and reliable analytical insights. Read about how SAS customers succeed with advanced analytics. Today's announcement was made at the Analytics Experience conference in Milan, Italy, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues. [1] IDC #US44803819, Worldwide Big Data and Analytics Software 2018 Market Shares: Demand Across All Use-Case Patterns, Dan Vesset et al., September 2019. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. SAS adds automated machine learning to make AI-powered decisions even easier 2019-10-24T00:31:51Z sas-adds-automated-machine-learning-to-make-ai-powered-decisions-even-easier ANALYTICS EXPERIENCE, Milan (Oct 22, 2019) SAS, the leader in analytics, is enhancing its easy-to-use artificial intelligence (AI) solutions to help organizations improve efficiency and quickly realize value with automation. The updated SAS® Platform delivers new functionality including automated data management, automated machine learning and cutting-edge interpretability features, underscoring SAS’ commitment to making AI more transparent and accessible for all. Available in the fourth quarter of 2019, the newest release of SAS® Viya® on the SAS Platform offers the latest AI and advanced analytics techniques, accessible to both data scientists and business users. The enhancements provide an intelligent process to automate many of the manual and complex steps required for data transformations and to build machine learning models. SAS automates the analytics life cycle – from data wrangling to feature engineering and algorithm selection – in a single click. To add a layer of transparency, the software will dynamically produce a visual pipeline to eliminate the black box that can accompany automation. And through natural language generation, results are presented in easily understood business terms. Once a model is finalized, it can be deployed with a single click. To further democratize AI solutions, the automated modeling process uses a REST API. This helps developers customize business applications while using SAS Analytics. Additionally, users can easily embed open source code and augment their analysis with SAS, providing a truly open experience. Machine learning is also used to recommend data transformations to reduce data preparation time. UK Insurance provider Admiral fights fraud with AI Fraudulent claims and applications are a major problem for the UK insurance industry, with both insurers and genuine customers paying the price through increased premiums. According to Cifas, the UK’s leading fraud-prevention service, false insurance claims rose by 27% in 2018 from the previous year, with auto/motor seeing a 45% increase. Admiral, a UK-based insurance company, has developed fraud portals that eliminate the need for manual referrals, saving significant time and resources while detecting more fraud than ever before. Fraud investigators and analysts now work from a single centralized hub, sharing data across the organization and applying sophisticated analytics to detect and prevent fraud. This approach has delivered more than £31 million of benefit in the last 12 months alone, including £6 million in savings for claims fraud. “We used an insurance fraud analytical engine from SAS to apply multiple techniques – including automated business rules, machine learning, artificial intelligence, text mining, database searches, anomaly detection and network-link analysis – to automatically score claims, associated entities and any corresponding social networks,” explained Sarah Lang, Head of Business Analytics at Admiral. “This process has allowed us to build a strong relationship between analytics and claims fraud. A continuous feedback loop ensures we continue to update the process, identifying fraud in more cases in a faster way, whilst improving our customers’ experience.” Industry disruption powered by AI Italian startup Yolo is disrupting the insurance industry with help from SAS AI solutions. The company’s digital insurance platform provides on-demand access to policies for travel, products, health and pets. Fueled by SAS machine learning, Yolo’s Platform can customize a temporary insurance policy offer to a customer without lag time. “As a digitally native company, our customer’s experience is paramount,” said Gianluca De Cobelli, co-founder and CEO of Yolo Group. “With SAS, our Platform is able to process a customer’s request to insure their vacation or their smartphone using all available data in real time, allowing our financial institution and corporate partners to provide their clients with a customized and dynamic mobile experience." A continued partnership with IBM For the first time, the November release of SAS Viya will run on the IBM POWER9 chip architecture. This will support all SAS Viya functionalities including GPU acceleration for machine learning, deep learning, and AI training and inferencing. In addition, this expands the flexibility to run SAS workloads in any cloud platform. “SAS and IBM have collaborated for more than 40 years. We’ve solved some of the most complex algorithmic challenges together. IBM Power Systems offer value to mutual customers whose business challenges demand not only SAS analytics, but also high data throughput,” said Ken Gahagan, Senior Director of Compute Services for Research & Development at SAS. The future in AI: Growth and opportunity “SAS continues to innovate in AI, building on the $1 billion investment in AI we announced earlier this year,” said Saurabh Gupta, Director of Advanced Analytics & Artificial Intelligence at SAS. “SAS delivers AI that helps users manage, understand and analyze the data they have and make better, faster decisions with it. The latest enhancements to our AI offerings focus on automating the many manual and complex steps required to build machine learning models.” The investment will focus on current and future R&D and expert services to build on successful AI efforts like that of Admiral and Yolo over three years. It will also include SAS education initiatives that address customer and partner needs to better understand and benefit from AI. In 2018, SAS experienced 105% growth in AI revenue – a rate three times faster than the overall market – according to a recent IDC report on AI software platform market share. Today's announcement was made at the Analytics Experience conference in Milan, Italy, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. Macquarie University offers SAS Certification as part of Online Global MBA 2019-10-20T23:58:42Z macquarie-university-offers-sas-certification-as-part-of-online-global-mba Media release. Sydney: 21 October, 2019  Macquarie Business School at Macquarie University has partnered with SAS, the leader in analytics to offer SAS Certification as part of its Global MBA program.  The new, entirely online Global MBA program was launched in May 2019 to focus on building future-focussed capabilities and is the first such degree to be offered on the popular Coursera platform – in which SAS is also a partner – in the Asia Pacific region.  Macquarie Business School’s Global MBA course has two intakes a year and the school is delighted with the response to its introduction, as reflected by an intake of 140 students in the first year.  Macquarie University is ranked in the top one per cent of universities worldwide and the School’s Global MBA is designed for professionals who want to future-proof and accelerate their careers from wherever are located.  The curriculum is designed to build six cross-disciplinary management capabilities – Leading, Strategising, Analysing, influencing, Adapting and Problem Solving -- which have been highlighted by the World Economic forum as the skills needed in the workplace of the future. The course also features a stackable model that allows students to earn certificates and start learning before committing to the full program.  Speaking at the signing of the partnership agreement, Associate Professor Lan Snell – Macquarie Business School’s Academic Program Director for the Global MBA – said, “We are proud to partner with SAS, one of the leading enterprise analytics providers.  “The future of work and learning is about collaboration and building ecosystems to optimise the learning experience and student choice. SAS has a strong learning culture and our partnership with them demonstrates this value. Co-creating curriculum, thought leadership, and developing learning pathways for SAS workforce through the Global MBA are just some areas where we are creating values.”  Responding, David Bowie – Vice President of SAS Australia and New Zealand – said, “SAS congratulates the Macquarie Business School for the far-sighted concept and objectives of the Global MBA.  “As highlighted by the 2018 Deloitte Millennial Survey – which found that 43 percent of millennials expect to change jobs within two years and 62 per cent consider ‘gig’ careers viable – rising generations are increasingly seeking to equip themselves with the  skills they will need in the future, whatever careers they follow.” SAS Certification: Graduates of MGSM’s Global Online MBA program will also qualify as SAS Certified Visual Business Analysts and will be listed as such in the SAS Certified Professional Directory, which is commonly accessed by employers and recruitment agencies, internationally.  News ends  About Macquarie Business School: Macquarie Business School offers the acclaimed MGSM courses including the global top 100 MGSM MBA, to help you rewrite the rules of business. MGSM courses combine practical learning and innovative thinking with a multidisciplinary approach. Their courses give you the resilience and versatility to meet current and future challenges in a shifting business landscape. They provide a dynamic, collaborative environment where staff of experienced academics and industry experts and corporate partners give students the platform to understand and lead on real business issues as they learn. About SAS: SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.  For further information from SAS: Nicholas Quirke on 0414 975 391  or nicholas.quirke@sas.com Customers get deeper into discovery with the new version of JMP 2019-10-16T00:55:08Z customers-get-deeper-into-discovery-with-the-new-version-of-jmp TUCSON, AZ (Oct 14, 2019) From Pleistocene fossils to infrared technology on a mission to map the surface of a near-Earth asteroid, JMP® statistical discovery software from SAS is helping scientists, engineers and other data analysts make a difference. In JMP Pro 15, the advanced analytics version of JMP, data scientists have more predictive modeling tools than ever. Both JMP 15 and JMP Pro 15 are launched today, 30 years after the first version of the software was released. "The higher the volume of data we collect, the greater the chance we will get some signals from them that add value and build knowledge…. It can be complicated to visualize. I really like JMP for this, especially Graph Builder, which is very practical and efficient,” said Augustin Cathignol, Principal Engineer for Product Reliability and Data Science, at Lynred, which designs high-performance infrared detector technology for probes traveling deep into space. For Sherri Gust, founder and Principal Paleontologist at Cogstone, the ability to interact with data is key. “The interactivity is one of my favorite things about JMP. You can say, ‘I’d like to explore that more and then do this,’” said Gust, who is conducting research on Ice Age fossils at Rancho La Brea in California. “Our customers can explore and understand their data even more fully with JMP 15,” said John Sall, co-founder and Executive Vice President of SAS and head of SAS' JMP business unit. “And they get instant graphical gratification with new visualization enhancements.” Sall marks the launches and 30th anniversary of JMP with his keynote speech “Import. Understand. Communicate” at analytics conference Discovery Summit Tucson this week.  JMP® 15 highlights ·         New column header graphs in the data table that show linked histograms for a quick view of the distribution of table variables. ·         Import wizard for importing and processing XML, JSON and PDF file formats. ·         Many enhancements to Graph Builder, including for Heatmap and Box Plot. ·         New hover label options that extend information available in graphs. ·         New Explore Patterns platform for investigating data integrity. ·         New Group Orthogonal Supersaturated Design platform for creating and analyzing designs with more factors than runs that have groups of correlated effects. ·         Publishing to JMP Live, a secure, private online portal for collaborating with analytics. JMP® Pro 15 highlights ·         Functional Data Explorer with workflow improvements to bypass intermediate table creation, reshaping and joins. ·         Structural Equation Modeling, a new predictive modeling platform, for modeling relationships among observed and unobserved variables. ·         New Support Vector Machines platform, providing another nonlinear machine learning technique. What other customers say about JMP® and JMP® Pro “The Functional Data Explorer platform has potential to significantly change the way we look at designing new products.” – Dan Fortune, Six Sigma Black Belt, Hexion “The PDF Import Wizard is breathtaking! I have complicated scanned PDFs with many tables, and the ability to manually select tables is just awesome!” – John Madden, Associate Professor of Pathology, Duke University “I could see the distribution of the data immediately in the header of the data table… users will find it powerful because they can check the structure of new data quickly and easily.” – Seonjin Kim, Senior Scientist, Samsung BioLogics “JMP is what has helped us be able to see the big picture more clearly and in real time.” – Tyler Wise, Project Analyst for Global Business Services, Diebold Nixdorf “I’ve never seen any single software application as transformative to scientific learning as JMP. With JMP you start seeing patterns and relationships in your data you never thought possible. It takes the guesswork and mystery out of statistics.” – Timothy Gardner, CEO and Founder, Riffyn, Inc. A fully functional 30-day trial of JMP is available free on the JMP website. About JMP SAS created JMP (pronounced “jump”) in 1989 to empower scientists, engineers and other data analysts to explore and analyze data visually and interactively. Since then, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs. John Sall, SAS co-founder and Executive Vice President, leads the JMP business unit. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.   SAS and Red Hat collaborate to optimize analytical capabilities across the hybrid cloud 2019-10-15T23:07:39Z sas-and-red-hat-collaborate-to-optimize-analytical-capabilities-across-the-hybrid-cloud Cary, NC (Oct 15, 2019) In an expansion to their existing collaboration, SAS is creating a best-in-class hybrid cloud analytics solution by delivering its market leading analytics on Red Hat OpenShift, the industry’s most comprehensive enterprise Kubernetes platform from Red Hat, the world’s leading provider of open source technologies. “The collaboration between SAS and Red Hat combines market leading analytics with the industry’s most comprehensive enterprise Kubernetes platform in Red Hat OpenShift, helping to accelerate customer adoption of analytics across the hybrid cloud,” said Red Hat President and CEO Jim Whitehurst. As companies continue to migrate to public cloud providers, Red Hat OpenShift provides a portable managed container and Kubernetes platform that can help customers manage their infrastructure across the hybrid cloud. By using SAS® Analytics in a Red Hat OpenShift environment, customers can quickly realize results while maintaining control on where to run their analytics workloads. “Combining the flexibility and scalability of SAS’ No. 1 AI and advanced analytics platform with the portability of Red Hat OpenShift, the most secure implementation of Kubernetes on the market, moves digital transformation from drawing board to finishing the last mile,” said SAS CEO Jim Goodnight. SAS® Viya® provides a modern, flexible cloud-based architecture that supports agile development and deployment of both SAS and open source AI and machine learning models in a single, governed platform. Optimizing the cloud-native design of SAS Viya in Red Hat OpenShift gives customers choice and control across hybrid environments. Red Hat OpenShift Container Platform can automate the provisioning, management and scaling of applications so that customers can focus on the development, deployment and operationalization of analytics. As model development has become democratized through access to open source software and automated machine-learning capabilities, deployment and governance remains the final hurdle. SAS Viya on Red Hat OpenShift provides a comprehensive set of capabilities for the development, deployment, lineage and explainability of models for organizations. In support of this collaboration, SAS is creating an OpenShift Center of Excellence (CoE) with joint engineering to drive the art of the possible for distributed analytics workloads in containers, Kubernetes and Red Hat OpenShift. This announcement was made at the 6th annual All Things Open Conference in Raleigh, NC, where 3,500 of the world’s top developers, technologists and decision makers gathered to discuss open source, open tech and open web in the enterprise. Red Hat, the Red Hat logo, and OpenShift are trademarks or registered trademarks of Red Hat Inc. or its subsidiaries in the US and other countries. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.   SAS helps organizations unlock the unrealized potential of their analytics investment 2019-10-03T01:45:57Z sas-helps-organizations-unlock-the-unrealized-potential-of-their-analytics-investment Cary, NC (Oct 02, 2019) According to IDC, only 35% of organizations indicate that analytical models are fully deployed in production.* This results in wasted effort and wasted money. With organizations investing approximately $189.1 billion in analytics this year alone, the deployment of analytical models and generating value from data is more critical than ever. SAS, the leader in analytics, is helping businesses complete the last mile of analytics and reach their goals through new offerings, services and education. Available now, SAS® ModelOps, is a new packaged offering combining SAS Model Manager software and advisory services. The offering streamlines the management, deployment, monitoring, retraining and governance of both SAS and open source analytical models. To jumpstart success, it provides the added benefit of tailored consulting services. Additionally, SAS is introducing a new standalone service, ModelOps Health Check Assessment, intended to help organizations understand how to optimize deployment. “The inability to put analytics into action is one of the biggest challenges across industries,” said Dan Vesset, Group Vice President of Analytics and Information Management at IDC. “Many organizations adopt a data-driven culture but struggle to actually apply changes that the data suggests. The finish line is to generate real business value from analytics investments, but many businesses are never reaching it, or struggle with the so-called ‘last mile’ of implementing, operationalizing and putting analytics to work.” Jim Goodnight, CEO of SAS, said: “This is because data doesn’t drive an organization, decisions do. And we know analytically-driven decisions are better. Analytical models can detect credit-card fraud, manage banking risk, improve marketing accuracy and so much more. SAS knows how to work with companies to finish this last mile and put their analytics, AI and data investments to work.” Running the last mile with SAS As organizations accelerate adoption of AI and machine learning, analytical assets and models are rapidly multiplying. In recent years model development has become more prevalent to solve business problems, but deployment and governance remains the final hurdle. SAS helps organizations across the entire analytics lifecycle – from automated model development that is not only transparent, but customizable, to model explainability in plain English, to model deployment. “Most companies struggle to move past the experimentation phase to unlock real value.  Our research tells us that implementation challenges, integrating AI into the company’s roles and functions, data issues (e.g., data privacy, accessing and integrating data), cost of AI technologies/solution development and lack of skills are the top challenges faced by early adopters.  To help clients accelerate the adoption of AI, Deloitte has made significant investments, including establishing Centers of Excellence, to educate, deliver, scale and manage AI and Analytics solutions in a cost-effective manner,” said Nat D’Ercole, partner at Omnia AI, Deloitte Canada’s Artificial Intelligence practice. Norwegian telecommunications company Telenor has also seen success with fast, effective model deployment with SAS. Serving Scandinavia and Asia, Telenor has an incredible amount of customer data. But the company needed help using this data to create a personalized customer experience. Together with SAS, Telenor Norway uses 10-20 predictive models to calculate the customers likelihood to buy relevant offers. Armed with this analysis, SAS and Telenor Norway developed and implemented a guided tool, called Automated Sales Tips (AST). AST puts analytics into action, determining in half a second the best offers for each customer contacting Telenor utilizing the scores from the predictive models. The models are managed and monitored using SAS Model Manager, providing a way to monitor the quality of the models over time and a report used as a basis for their monthly model management meeting. SAS also enabled the marketing division of Germany’s Commerzbank to deploy data-driven models that improved the customer experience. While analytics is used daily in business, now it can be integrated in all customer-centered decisions – inbound and outbound – for every touchpoint with Commerzbank’s customers, in real-time, at scale. Customer-centricity is equally important in an evolving retail landscape. Connect Financial Services (CFS), a subsidiary of the JD Group and Pepkor, the largest non-grocery retailer in South Africa, use SAS to gain the competitive edge. The JD Group, with more than 850 stores operating across four countries, receives a large number of customer credit applications each day. By automating much of the credit decisioning process with machine learning and advanced analytics, CFS can make relevant offers to customers while still mitigating risk to the retailer. “SAS allows us to make intelligent decisions,” said Eugene Ehlers, CFS Credit Executive at Pepkor. “Internally, we refer to ‘SAS as the brain.’ We can quickly deploy changes and additions to our credit decisioning models in real-time, which allows us to ensure that the right amount of credit is offered to the customer when and where the customer needs it.” Moving organizations forward with ModelOps According to McKinsey, the total annual value generated by analytics and AI is between $9.5 trillion and $15.4 trillion. But without the ability to push analytical models into production, much of this potential value is lost. ModelOps is where analytical models move from the data science “lab” into IT production, with a regular cadence of updates and deployments as these models are managed, scaled, monitored and retrained as needed. In the race to realize value from analytics, ModelOps is a winning ingredient that only a few companies are using. SAS ModelOps meets the need for model management software paired with advisory services that can be tailored to meet a customer’s specific requirements. The offering will help customers to jumpstart their implementation, use and adoption of SAS Model Manager so that they can operationalize analytics in a consistent, continuous manner. SAS ModelOps also enables customers to monitor the performance of all champion models to ensure relevance as data and market conditions changes over time. SAS believes that to finish the last mile, analytics needs to emulate the applications-development community’s approach to collaboration – DevOps – and adopt practices that will accelerate model creation and deployment. The ModelOps Handbook, available for download later this year, is a technology-agnostic handbook that helps organizations accelerate the analytics life cycle through repeatable best practices. With a focus on building collaboration and processes to facilitate the handoff between the development and deployment phases, the goal of the ModelOps Handbook is to reduce the time to deployment and increase organizational capacity to create, train and refine analytical models. Because deployment of analytical models is both challenging and valuable, SAS is also introducing a new service, ModelOps Health Check Assessment. Through an on-site workshop, organizations can determine their level of maturity and readiness to successfully deploy and manage analytical models. The assessment also provides recommendations to move the company forward to make better decisions. To learn more about how SAS can help organizations conquer the last mile of analytics, visit sas.com/discover or follow the conversation on social media using the hashtag #DiscoverSAS. * IDC’s Advanced and Predictive Analytics survey and interviews, n = 400, 2017 – 2019. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. SAS recognized as a Leader in Enterprise Marketing Software Suites by Independent Research Firm 2019-09-29T23:05:09Z sas-recognized-as-a-leader-in-enterprise-marketing-software-suites-by-independent-research-firm Cary, NC (Sep 25, 2019) Using cobbled-together marketing stacks from multiple vendors often leaves marketers underwhelmed and unable to support targeted and personalized customer experiences. SAS® Customer Intelligence 360, an integrated, organically grown marketing platform, is a Leader in The Forrester Wave™: Enterprise Marketing Software Suites, Q3 2019. Forrester defines enterprise marketing software suites as “An integrated portfolio of marketing technology products that provide analytics, automation and orchestration, of insight-driven customer interactions to support inbound and outbound marketing.”[i] SAS is top ranked in the Strategy category in the report and earned the highest scores among all vendors for campaign and interaction management, marketing resource management, and measurement and optimization. “Advanced analytics, such as AI, provides tremendous speed of scale that brands need to keep pace with escalating customer demands, the deluge of data and content, and innumerable customer journey permutations,” said Wilson Raj, Global Director of Customer Intelligence at SAS. “SAS Customer Intelligence 360 goes far beyond your typical marketing cloud. With SAS’ hybrid computing architecture, embedded AI helps marketers efficiently sort through vast amounts of customer, operational and campaign performance data to optimize offers and personalize campaigns for customers based on their real-time interactions, in-store behavior, or mobile app use – whether the data is on-site or in the cloud.” In the report, Forrester writes that “SAS offers unparalleled reporting, analytics, predictive modeling, and optimization via dedicated functionality for power users and through features embedded in applications for marketers. SAS’s vision for marketing is unique in its thesis that fusing marketing and data science at all stages of customer intelligence and engagement will improve customer engagement and marketing performance.” “In addition to its considerable analytics firepower, SAS offers tightly integrated cross-channel campaign management and marketing resource management features that stand on their own. SAS has a well-defined product road map that enjoys strong support from clients. SAS’s clients rave about excellent account management and report that product implementations, particularly the new SaaS product versions, are successful and well supported.” SAS was also recognized this week as a Leader in The Forrester Wave™: Cross-Channel Campaign Management, Q3 2019. SAS earned the highest possible scores in the criteria of user experience, business technology vision, innovation roadmap, partner ecosystem, delivery model and customers. Forrester noted that “SAS provides much deeper and richer channel capabilities than any other vendor in this study.” Learn more about SAS Customer Intelligence 360. [i] Forrester Glossary: https://www.forrester.com/staticassets/glossary.html -- accessed September 2019 About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. SAS an anti-money laundering Leader, says independent research firm 2019-09-29T23:00:50Z sas-an-anti-money-laundering-leader-says-independent-research-firm Cary, NC (Sep 26, 2019) Analytics giant SAS is named a Leader in The Forrester WaveTM: Anti-Money Laundering Solutions, Q3 2019. In its inaugural evaluation of anti-money laundering (AML) technology, Forrester Research calls SAS® Anti-Money Laundering “one of the most scalable” solutions on the market with “powerful … data integration and federation capabilities.” Given shifting regulations, evolving threats, and immense and growing volumes of diverse data, using AI and machine learning to rapidly detect and report suspicious activity is fast becoming an AML imperative. According to the Forrester Wave report, SAS software’s “supervised and unsupervised machine learning based model development is very intuitive and visual and offers many types of configurable algorithms out of the box.” Advanced analytic capabilities like that can help boost AML programs’ overall efficiency and effectiveness, including in transaction risk scoring and investigation – even without a requisite army of data scientists. “SAS helps financial institutions transform and modernize their anti-money laundering programs with industry-leading AI and machine learning,” said Stu Bradley, Vice President of Fraud and Security Intelligence at SAS. “This allows them to automate repetitive manual tasks and reduce false positives by 50% or more. One U.S. bank replaced its transaction monitoring system’s cash activity scenarios with a SAS neural network model and tripled its SAR conversion rates – while also halving its monthly work items.” Forrester Research evaluated eight AML solution providers against 32 criteria. SAS was noted as “ideal for large enterprises with robust SAS and data science skill sets,” earning the highest possible score in the criteria of risk scoring and alerting, case management, reporting, and scalability in transaction volume. In its assessment of SAS, Forrester added, “Reports are configurable and versatile. Queue definitions are flexible in case management.” More than 250 financial services organizations worldwide, including Icelandic bank Landsbankinn, use SAS to help prevent money laundering. Visit SAS online to learn how AI and machine learning are redefining AML. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. Independent Research Firm: SAS a Leader in Cross-Channel Campaign Management 2019-09-26T00:11:07Z independent-research-firm-sas-a-leader-in-cross-channel-campaign-management Cary, NC (Sep 25, 2019) Once upon a time Cross-Channel Campaign Management (CCCM) was all about executing marketing campaigns. But now, in our customer-driven world marketers are turning to CCCM to help manage customer experience. Forrester advises that CCCM customers should look for providers that “deliver customer data and analytics foundation … excel at cross-channel customer experiences [and] …  provide moments-based marketing technology innovation” and named SAS a leader in The Forrester Wave™: Cross-Channel Campaign Management (EMSS Modules), Q3 2019. SAS also earned the highest possible score in the criteria of user experience, business technology vision, innovation roadmap, partner ecosystem, delivery model and customers. Forrester noted that “SAS provides much deeper and richer channel capabilities than any other vendor in this study.” “Prospects and customers don’t distinguish between online, in-store, or mobile, when it comes to engaging with your brand,” said Wilson Raj, Global Director of Customer Intelligence for SAS. “It’s all one continuous, fluid experience. Designing and delivering on that expectation means predicting, personalizing and optimizing across myriad touchpoints and customer contexts—in real-time. And that takes predictive analytics and intelligent decisioning across any customer-facing function not just marketing.” According to the report “The SAS Customer Intelligence portfolio boasts rich functionality for marketing resource management, campaign design and workflows, and a real-time decision engine – all fueled by powerful customer analytics and artificial intelligence capabilities. Its new CI 360 engagement modules add a fresh UX and SaaS deployment options for campaign orchestration.” With SAS® Customer Intelligence marketers can wield data, analytics and insights to create relevant, individualized customer experiences in real-time. Powered by machine learning and artificial intelligence (AI), the suite of MarTech tools helps marketers to engage their customers confidently across channels. SAS was also recognized this week as a Leader in The Forrester Wave™: Enterprise Marketing Software Suites, Q3 2019. SAS was top ranked in the Strategy category in the report and earned the highest scores among all vendors in the criteria of campaign and interaction management, marketing resource management, and measurement and optimization. Learn more about SAS Customer Intelligence capabilities. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®. Melbourne Business School and SAS® extend business analytics teaching relationship 2019-08-29T00:49:14Z melbourne-business-school-and-sas-extend-business-analytics-teaching-relationship Media release. Melbourne: 29 August 2019 Melbourne Business School at the University of Melbourne and SAS® – the leader in analytics – have announced a five-year extension of the relationship they entered into in 2015. The original agreement between the two parties was in support of world class research related to advanced analytics for business; to establish a Master of Business Analytics degree program; and the founding of the Centre for Business Analytics. Melbourne Business School consistently ranks amongst the world’s leading teaching institutions, with the Financial Times ranking of such institutions placing it at No. 1 in Australia.  The School’s Master of Business Analytics program is supported by SAS technology and the new five-year extension of the partnership will see the introduction of SAS Viya as the new learning platform. Cloud-optimised SAS Viya® will provide students with the latest in machine learning, artificial intelligence, forecasting and text analytics - as increasingly used by leading Australian and overseas organisations in both the public and private sectors. Acknowledging the five-year extension of the relationship with SAS and thanking the company for its continuing support, Professor Ujwal Kayande – director of Melbourne Business School’s Centre for Business Analytics - stressed the need for Australia to rapidly increase its population of fully qualified data scientists. “Australia faces a severe shortage of analytics skills, in particular candidates who are able to translate their technical skills into business solutions. Our program is focused on doing exactly that, and the use of the premium SAS technology helps us achieve that goal. We are grateful for the support provided to the Centre for Business Analytics, including the sponsorship of the flagship Melbourne Analytics Conference, which will be held on September 3rd at the Melbourne Convention Centre,” he said. Responding, David Bowie – Vice President of SAS Australia and New Zealand – said, “Our formal association with Melbourne Business School’s Centre for Business Analytics has been enormously rewarding and we are delighted by its extension. Australia’s economic wellbeing is highly reliant on a workforce with the skills the Centre teaches and SAS is privileged to be able to contribute.”    SAS will continue to provide Melbourne Business School with curriculum consulting support, and graduates of the Masters’ program will also receive accreditation as a SAS Certified Advanced Analytics Professional. This globally recognised SAS certification identifies professional who are both skilled data analysts and have a fully rounded focus on analytics for problem solving and decision making. News ends   About Melbourne Business School: Melbourne Business School is Australia's leading provider of business education and insight, offering a range of MBA and other postgraduate degrees, short courses for professionals and custom learning solutions for organisations.   Each year, we produce about 500 degree graduates and host more than 3000 participants on short courses and custom programs at our main campus in Melbourne, as well as in Sydney and Kuala Lumpur.   Our MBA program is ranked the best in Australia by the Financial Times and The Economist, and among the best in the world. The Centre for Business Analytics was founded in 2014 to address the worldwide demand for analytics research and knowledge. It has launched several initiatives including the Master of Business Analytics and Master of Analytics Management degrees.   About SAS: SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.   For further information from MBS: Andrew Ramadge on 0475 797 471 or a.ramadge@mbs.edu   For further information from SAS: Amar Vohra on 0417686 135 or amar.vohra@sas.com SAS expands corporate social innovation programs and broadens sustainability commitment with environmental goals 2019-08-28T23:01:14Z sas-expands-corporate-social-innovation-programs-and-broadens-sustainability-commitment-with-environmental-goals Cary, NC (Aug 26, 2019) SAS’ commitment to corporate social innovation and sustainability has long been core to the company’s business approach. As a sustainability innovator recently recognized by the Business Roundtable, the analytics leader strives to use its technology to protect the planet and improve the lives of its employees and the larger global community while giving back through education initiatives. In addition to unveiling targeted environmental goals that build on past sustainability efforts, SAS expanded its Data for Good program through additional projects, ranging from fighting the opioid epidemic to helping nonprofits work smarter. SAS’ corporate social innovation initiative supports the United Nations’ Sustainable Development Goals (UN SDGs) to make the world a better place. The company’s sustainability initiatives promote the goals of clean energy, climate action, and sustainable cities and communities. To accomplish these objectives, SAS is committed to achieving the following environmental goals: By 2025, SAS will reduce global greenhouse emissions by 25% (2011 base year). By 2025, office buildings at SAS headquarters will improve energy efficiency by 40% (per square foot) and emissions efficiency by 50% (per square foot). All new building construction projects will earn LEED® Gold level certification. SAS will add 50% more charging stations at our headquarters by 2020 and continue to explore ways to support electric vehicle infrastructure. SAS will continue to use analytics to improve operational efficiencies and invest in the highest-efficiency smart technologies, renewable energy, electric vehicle infrastructure and environmentally friendly practices across its operations. SAS will develop goals and report progress against science-based targets in support of the Paris Climate Agreement. “Caring for our people, our communities and our planet is simply the right thing to do,” said SAS CEO Jim Goodnight. “Our commitment to social responsibility continues to evolve and expand as we witness the power of connecting analytics and advocacy. By applying our time, technology and expertise toward a social purpose, we’re creating a more sustainable future.” Environmental leadership To foster a sustainable workplace and encourage employee creativity, SAS prioritizes creating environmentally friendly workplaces. From energy conservation and solar projects to “green” buildings, waste reduction and recycling, the company is committed to reducing its environmental footprint. Recent achievements include increasing solar production to more than 4 million kilowatt hours annually, using solar to power nearly half its newest building, harvesting the first honey crop from its headquarters beehives and adding more than 90 free on-site charging stations for electric vehicles. Making a difference in the world SAS has always been motivated by challenges to use its technology to create a brighter future for all. As part of SAS’ efforts to support the UN SDGs, the company is helping to bring these global issues into the classroom with the free GatherIQ™ app. Educators and parents can download the app to help students learn more about the goals, unlock donations for nonprofits working toward the goals and explore global issues through interactive data visualizations, quizzes and other multimedia activities. As the global leader in analytics dedicated to helping the greater good, SAS also continues investing in Data for Good projects by applying cutting-edge technology and expertise to help solve some of society’s biggest challenges, such as poverty, health, human rights, education and the environment. SAS is committed to empowering the next generation of innovators through its continued philanthropic focus on education. SAS provides free digital tools, resources and apps to nearly 4.5 million teachers and students. For higher education and adult learners, downloads and registrations of SAS University Edition and SAS OnDemand for Academics grew more than 30% in 2018 to approximately 1.7 million. More than 300,000 people registered for free e-learning courses in statistics and programming. Visit the SAS Corporate Social Responsibility site and learn what makes SAS a corporate sustainability leader. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.