I recently attended the annual SAS analyst summit to hear the latest vr_bti_br_technology_innovation_prioritiescompany, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to Global 2000 companies. SAS’ growth in analytics should be no surprise, as our research finds analytics to be the first-ranked priority among technologies for innovating business.

SAS’ largest area of growth is in its business analytics and business intelligence tools. Its new SAS Visual Analytics product appeals to a vr_ngbi_br_importance_of_bi_technology_considerationsbroad range of business and analyst needs. The latest upcoming version blends data and visual discovery with powerful analytics. SAS is also addressing usability, the most important technology consideration according to 63 percent of organizations in our research. SAS uses in-memory computing against big data to help meet the advanced needs of organizations. Its eventual intent is to have Visual Analytics be the focal point of its business intelligence product direction. SAS Visual Analytics 6.2 is expected to be generally available in second quarter of this year; a trial of the product is already available. At the event the company demonstrated its capabilities on tablets such as the Apple iPad. After seeing the demo my only recommendation is that SAS provide more collaborative aspects and ensure that analysts can make observations and notations, which is a challenge with most of the business intelligence and analytics offerings in the market today.

SAS’ view of big data echoes our view that it is part of a larger portfolio of vr_bigdata_big_data_technologies_plannedbusiness technology for storing and loading data. SAS has invested significantly into its high performance analytics (HPA) architecture, which enables it to operate in parallel or embedded within database technology. SAS has focused on efficient processing for applying mathematics, and has devised multiple architectural approaches to adapt to existing technology, including Hadoop, and to ensure it can operate in the most efficient manner. Our big data research finds that a third of organizations plan to evaluate and adopt a range of appliances, in-memory and specialized databases and Hadoop in 2013. SAS’ approach is to embrace and integrate with a range of big data approaches.

For information management, SAS has consolidated the previous Dataflux brand into the SAS organization and unified its product vr_infomgt_information_management_initiativeofferings. This is an important move, as joint offerings can confuse potential customers, though everything was available from SAS. Beneath the marketing is a solid product line that provides not just data integration, though we assessed SAS as a Hot Vendor in our 2012 Value Index for Data Integration based on a methodical assessment. Unlike other analyst approaches that scratch the surface of review in 2×2 assessments, we look at range of manageability, usability, reliability and other categories that span a range of data related areas. Not as well-known yet for its integration with Hadoop and even SAP HANA, SAS is addressing challenges in big data integration that we are researching in more depth for 2013. But SAS’ overall approach to data management aligns well to our information management research. I was impressed with SAS’ support for process and data orchestration and the overall ease of use of the product; it can be easily used by analysts and IT, with some great job monitoring capabilities.

For the chief marketing officer (CMO), SAS has expanded its Customer Intelligence Suite since my colleague Richard Snow assessed it last year. Expanded capabilities address a broad set of management and operational needs for marketing. SAS provides not just the analytics but campaign management, real-time decision management and personalization that helps ensure the best possible interaction and experience. Though it is not always seen as a key provider of applications for marketing, SAS has been steadily expanding its offerings organically and through acquisitions, and now, with a unified approach and user experience, is ready to strut its depth and sophistication, especially for B2C organizations.

SAS demonstrated a portfolio that engages everyone from the CMO to the analysts, managers and teams responsible for marketing activities that span from strategy and planning to interactions and ensuring great customer experience. An upcoming release expected in Q2 provides a new generation of user experience and integration that I have not seen in other offerings in the market. This sophisticated advancement in customer analytics aligns with my colleague Richard Snow’s view on the next generation of customer analytics that can leverage big data to meet forward-looking needs of organizations.

SAS sees the value in cloud computing, and now has its own global hosted technology infrastructure. It can help its customers set up a private cloud for its technology. SAS has had rapid global expansion to supportvr_bti_br_access_preferences_for_innovative_technologies the cloud since our last assessment. I especially like its management of users, applications and technology and the ease of working across deployments and upgrades. SAS will soon also provide a platform for assembling applications for a range of needs for business. This new step forward, expected later in the year, is significant, as SAS is not known for its ability to foster the development of applications, but it has had this capability in its portfolio, and now is making it simpler and accessible in the cloud. Our research finds that the on-demand model and even software hosted by the supplier plays a growing role not just for analytics but for a range of big data and mobile technology needs in over a third of organizations. For SAS, this capability goes well beyond just providing analytics in the cloud, and places it in the market of companies such as Salesforce, which provides Force.com as its cloud-based application development environment but also provides information and analytics applications. SAS continues to expand its OnDemand offerings that provide easier access to many of the sophisticated solutions in its portfolio.

SAS is also applying analytics to decision-making through a series of advancements with its Decision Management technology. As many organizations realize, the value of analytics is in using them to enable action to be taken. This is no easy task, as most analytics and their presentation are not designed for assessing, taking and monitoring actions. SAS has developed a suite of capabilities and tools to help in the preparation of data, modeling, optimization, workflow and rules, monitoring and reporting, along with supporting case management. After a close look at the product I found it to be well-designed with an easy-to-use interface, especially the decision flow builder, which can be used by business analysts to design processes and analytics. I especially like the SAS Scenario Manager, which allows for side-by-side examination of decisions to determine how to optimize activities. SAS’ full suite of integrated decision management capabilities is expected to be available in the second quarter of this year, and SAS has an aggressive roadmap for continuous improvement. Only IBM in this market has a comparable area of focus and integrated approach with a portfolio of tools for decision management across any industry. SAS is making a smart step forward and will need to elevate the visibility of this offering in its portfolio to ensure it gets the proper level of consideration.

SAS also provides software for risk managementGRC and fraud technology to handle the most sophisticated challenges facing organizations and lower risk in organizations. Our research into GRC finds that 79 percent of organizations are looking to identify and manage risks faster, and more than half (59%) need to improve their control environment. I will let my colleague do further analysis of SAS portfolio in this area in the future.

SAS continues to build out its partner ecosystem. It has made strides to expand into other companies’ technology ecosystems, including Teradata and EMC, and works with system integrators such as Accenture, Capgemini and Deloitte. SAS had a great customer panel at the analyst event, and while I’m under NDA and cannot tell you the customer names, they represented some of the largest brands in the world, and they operate and use SAS to meet a variety of analytics and real-time operation needs.

The company has been steadily advancing, as we found in our Value Index for Business Intelligence last year. However, as SAS is adopted by more analysts, it will face the same issues I cited for business intelligence, which has not adapted well to business needs.

SAS has great potential with its approach to do more than just analyze the past but also predict and optimize future business activities using applications and tools that utilize its analytics backbone. SAS believes that its ability to handle proactive and forward-looking analysis on the largest of big data distinguishes it from other software providers along with using in-memory technology and makes it easy to try its software. SAS’ ability to use mathematics and embed predictive analytics into its offerings makes it a unique application provider. I could not cover all the key advancements in its portfolio but anyone that spends a little time examining their portfolio will realize there is a lot more to SAS than most realize. It’s broadening and deepening of its portfolio puts it on the short list of companies to consider for bringing more sophistication and science to business analytics.

Regards,

Mark Smith

CEO & Chief Research Officer