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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

I was at the Salesforce.com Dreamforce conference this week to hear about the latest advancements from the cloud computing software giant. Salesforce has helped revolutionize cloud computing for business, and its social media and collaborative technologies help advance business processes in sales, customer service and improve the interactions between employees, partners and customers. Salesforce has made great advancements in cloud, social and mobile technology, as I have assessed and my colleague did too.

I thought Dreamforce would be a good time to investigate the state of its analytics that have been evolving since last year. I have spent the last couple of decades in the analytics industry across business and IT and thought it might be useful to provide objective analysis on Salesforce Analytics so I went to educational sessions on the products and demonstrations of their software and use by customers. I also has noted in my analysis from the 2011 Dreamforce event that they needed to improve and was not one of its strengths. The role of business analytics is critical for Salesforce’s entire software portfolio, and especially for software within sales organizations, of which almost two-thirds (64%) plan to improve their sales analytics.

Salesforce has improved its dashboards and reports, making them easier to create and simpler to navigate. It has hired expertise from other business intelligence companies to energize its efforts. The company’s Summer ’12 release included key technical advancement in joining reports, filters and bucketing data for analysis and presentation. It included calculated columns, which let users create new derived metrics more easily than they could if they had to work with a database analyst. What Salesforce outlined for the future, some of which it says will be available in the Winter ’13 release, is more filtering and sorting on aggregates. Users will be able to lay out charts in a dashboard from built reports and create combination charts with line over bar charts or specifically laid-out matrix reports. It also is planning to provide trending analytics through storing the changed data but only plans to store for up to one year. Salesforce was proud to provide shared folders across devices, but subfolders are not planned, which for anyone managing BI content across teams or categories is not acceptable.

A significant number of issues point to a lack of maturity in its efforts; for instance, users cannot change colors and related themes in business charts. As one customer said, having lots of charts on the screen with the same color array does not work. If you read my recent rant on the pathetic state of dashboards then you should realize that the current practice of placing a series of charts on a screen is now antiquated and ineffective at informing business. It fails to provide the intelligence business needs to have the information spell out in English what is the changing metrics and provide guidance on what is most important to act on and is not contextual to a specific role. Salesforce laid out plans to expand dashboards across mobile technologies to ensure those devices can keep pace with its overall platform and accessibility advancements. But Salesforce must focus on its presentation and its metrics and make sure to not fixate on key performance indicators, which is not the only or best presentation approach, as I have written.

I stepped back and thought about our research, which found a high priority on simpler and more intuitive analytics, according to 89 percent of the more than 2,800 organizations we researched in our business analytics benchmark. Business is also looking for methods to search for specific information within business analytics (83% of organizations) and visual and data discovery in (78%). In addition, 69 percent of analysts across line-of-business areas spend the majority of their time with data-related tasks. The requirement to blend data across sources is still a major inhibitor; 88 percent of organizations use spreadsheets universally or regularly. Salesforce is not focusing closely enough on overcoming these issues, which is an indicator of their understanding the market and resources available to address them.

While Salesforce struggles to advance its basic business intelligence capabilities and develop the analytics its customers want, its partners in business intelligence have a great opportunity to meet the demand for intuitiveness and capabilities. Integrating independent business intelligence providers into Salesforce is not always easy but most have provided a way to have it seamlessly be part of the application. The challenge is more around direct access to the Salesforce data that requires development and use of its proprietary API and is not a standard database connectivity method. I walked the Cloud Expo at Salesforce Dreamforce conference and sat in on these vendors demonstrations and it was clear that the size of the audience and capabilities presented that they are addressing the gaps in Salesforce analytics.

Nevertheless, a large number of business intelligence and analytics providers are partnering with Salesforce to capitalizing on this gap of sophistication. The list of certified partners on the AppExchange includes BIRST, Cloud9 Analytics, Domo, Gooddata, InetSoft, QlikView and RoamBI, along with vendors I could not find in AppExchange, including MicroStrategy and Tableau, though they were at Dreamforce demonstrating capabilities that are not yet certified or listed in the AppExchange. Even KXEN was demonstrating how to apply predictive analytics to help guide sales opportunities through its predictive lead scoring.Our firm has been tracking these vendors, and many can plug the gaps in Salesforce’s offerings, but it requires effort to integrate them and make them easily accessible from within Salesforce. Among those business intelligence vendors that do not have direct API access to Salesforce, some have partnered with data integration vendors such as Informatica, Information Builder iway and SnapLogic, who can help get data from Salesforce and place into a database. This need for improving access to data in the cloud was a critical factor for investment according to our research.

Salesforce makes it difficult for users to find their partners. The AppExchange lacks a category for analytics or business intelligence, but if you’re smart enough to navigate into the sales category you can find the vendors, which indicates the company assumes that everyone is just looking for sales analytics though those have a lot of room for improvement. If you navigate into customer service, marketing or other business and technology areas you cannot find any categorization to make it easier to find analytics vendors. This is a sad state of affairs for a company whose platforms, including Force.com and Database.com, are being used to generate a broad range of applications that need analytics, including those from its partners.

I am not sure how Salesforce’s efforts in analytics are going to evolve, but it’s not keeping pace with about a dozen of other providers it partners with and should be addressing the part of our Value Index assessment including usability, manageability and adaptability. This means customers either must be very patient and wait to get capabilities in the coming years that other vendors already provide, or they can transition to Salesforce partners sooner rather than later. Salesforce has had a rough go in trying to make analytics a separate product to charge for, then realizing analytics is just a set of feature it can provide in the premium editions of its products, as communicated in its own product blog. Nevertheless, Salesforce needs to better present its portfolio of partners to keep its customers satisfied and not ignore partners in its presentations and communications.

The pressure for better analytics will get larger, not smaller. If it does not make an acquisition to advance its analytics technology, Salesforce may have a rough ride ahead.

Regards,

Mark Smith

CEO & Chief Research Officer

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