At its recent MicroStrategy World 2014 conference, the enterprise software company introduced a portfolio of products to make it easier to perform analytics and make them easier to access through the cloud and mobile forms of computing. These announcements accelerate MicroStrategy’s transition to approaching corporate business users of analytics from its past focus on business intelligence, which typically is purchased by IT. This is a subtle but strategic shift that recognizes where growth opportunities lie and that analytics must be available on any device at any time. MicroStrategy made it clear that advances in the cloud, mobility and big data were integral to its product releases last year and is continuing in this direction in 2014 with the products in its MicroStrategy 9.4 suite.
Topics: MicroStrategy, Mobile, Social Media, Customer Engagement, Smartphone, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Location Intelligence, Operational Intelligence, Tablet
Ventana Research recently completed the most comprehensive evaluation of mobile business intelligence products and vendors available anywhere today. The evaluation includes 16 technology vendors’ offerings on smartphones and tablets and use across Apple, Google Android, Microsoft Surface and RIM BlackBerry that were assessed in seven key categories: usability, manageability, reliability, capability, adaptability, vendor validation and TCO and ROI. The result is our Value Index for Mobile Business Intelligence in 2014. The analysis shows that the top supplier is MicroStrategy, which qualifies as a Hot vendor and is followed by 10 other Hot vendors: IBM, SAP, QlikTech, Information Builders, Yellowfin, Tableau Software, Roambi, SAS, Oracle and arcplan.
Topics: MicroStrategy, Mobile BI, Mobile Business Intelligence, Pentaho, Sales Performance, SAP, SAS, Tableau, Jaspersoft, mobile analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Builders, Oracle, Workforce Performance, Yellowfin, Actuate, BIRST, Roambi, Value Index, arcplan, Logi Analytics, Qlik
Mercer is a global consulting company that has more than 19,000 employees in more than 40 countries. One of the company’s major consulting practices is talent management. My colleague Mark Smith assessed Mercer’s survey delivery product WIN for compensation management in September 2011. Mercer recently held an analyst day in Boston where speakers discussed the launch of a new internal group focused on talent management and a new talent management suite sold as part of its consulting services.
Teradata recently gave me a technology update and a peek into the future of its portfolio for big data, information management and business analytics at its annual technology influencer summit. The company continues to innovate and build upon its Teradata 14 releases and its new processing technology. Since my last analysis of Teradata’s big data strategy, it has embraced technologies like Hadoop with its Teradata Aster Appliance, which won our 2012 Technology Innovation Award in Big Data. Teradata is steadily extending beyond providing just big data technology to offer a range of analytic options and appliances through advances in Teradata Aster and its overall data and analytic architectures. One example is its data warehouse appliance business, which according to our benchmark research is one of the key technological approaches to big data; as well Teradata has advanced support with its own technology offering for in-memory databases, specialized databases and Hadoop in one integrated architecture. It is taking an enterprise management approach to these technologies through Teradata Viewpoint, which helps monitor and manage systems and support a more distributed computing architecture.
Topics: Big Data, MicroStrategy, SAS, Tableau, Teradata, Customer Excellence, Operational Performance, Business Analytics, Business Intelligence, CIO, Cloud Computing, Customer & Contact Center, Hadoop, In-Memory Computing, Information Applications, Information Management, Location Intelligence, Operational Intelligence, CMO, Discovery, Intelligent Memory, Teradata Aster, visual discovery
Our benchmark research found in business technology innovation that analytics is the most important new technology for improving their organization’s performance; they ranked big data only fifth out of six choices. This and other findings indicate that the best way for big data to contribute value to today’s organizations is to be paired with analytics. Recently, I wrote about what I call the four pillars of big data analytics on which the technology must be built. These areas are the foundation of big data and information optimization, predictive analytics, right-time analytics and the discovery and visualization of analytics. These components gave me a framework for looking at Teradata’s approach to big data analytics during the company’s analyst conference last week in La Jolla, Calif.
Topics: Big Data, MicroStrategy, Tableau, Teradata, alteryx, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Operational Intelligence, Oracle