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: Analytics, Big Data, Business Analytics, Business Collaboration, Business Intelligence, Business Performance Management (BPM), Cloud Computing, Customer Engagement, Information Applications (IA), Location Intelligence, MicroStrategy, Mobile, Operational Intelligence, Operational Performance Management (OPM), Social Media, Tablets, Smart Phones
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, Business Analytics, CIO, Cloud Computing, CMO, Customer Excellence, Customer Performance Management (CPM), Discovery, In-Memory Computing, Information Applications (IA), Information Management (IM), Intelligent Memory, Location Intelligence, MicroStrategy, Operational Intelligence, Operational Performance Management (OPM), SAS, Tableau, Teradata, Teradata Aster, Strata+Hadoop, Analytics, Business Intelligence
Adoption of workforce analytics is increasing as organizations seek to recruit and retain employees more effectively and ensure that their people deliver the productivity they expect. According to our benchmark research on the topic, 89 percent of organizations want to make it simpler to provide workforce analytics, which is not surprising as our analysis shows that only 12 percent of organizations have reached the highest level of maturity here.
Topics: Business Analytics, Business Collaboration, Business Mobility, Business Performance Management (BPM), Cloud Computing, Financial Performance Management (FPM), Governance, Risk & Compliance (GRC), HR, HRMS, Human Capital Management, Kronos, MicroStrategy, Mobility, Research, Talent Management, Workforce Analytics, Workforce Performance Management (WPM)