It has become evident from the advancements we’ve seen in the business analytics market that the use of visualization is now becoming mainstream. In my analysis of the market last year I wrote about the pathetic state of dashboards, where the assumption in the business intelligence software industry is that placing four to six charts or tables of data in a screen and publishing to business users can create business intelligence. That assumption has yet to be proven and is completely irrational, as presenting analytics in basic charts does little to provide context and a guide for taking actions and making decisions.
Topics: Analysts, Business Analytics, Business Intelligence, Location Intelligence, Operational Intelligence, Visualization, Business Intelligence (BI), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), visual analytics, visual discovery
Business analytics can help organizations use data to find insights that lead to new opportunities and address issues unrecognized before. One player in this market is Datawatch, known for its tools for information optimization and harvesting value from big data including content and documents. I assessed the company earlier this year, and recently our firm recognized its customers’ achievements with 2013 Ventana Research Leadership Awards for Information Optimization with Phelps County Regional Medical Center and Governance, Risk and Compliance (GRC) with The Fauquier Bank.
Topics: Big Data, SAP, GRC, Operational Performance Management (OPM), Panopticon, Analytics, Information Management, Operational Intelligence, Business Intelligence (BI), Business Performance Management (BPM), CEP, Customer Performance Management (CPM), Datawatch, Discovery, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, risk management, Sales Performance Management (SPM), SAP HANA, Supply Chain Performance Management (SCPM), visual discovery
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 Management (OPM), Business Analytics, CIO, Cloud Computing, Hadoop, In-Memory Computing, Location Intelligence, Operational Intelligence, Business Intelligence (BI), CMO, Customer Performance Management (CPM), Discovery, Information Applications (IA), Information Management (IM), Intelligent Memory, Teradata Aster, visual discovery
Information technology for business is changing rapidly as organizations demand innovation to help them discover insights and facts. Our research into business technology innovation found analytics to be the top priority in 39 percent of organizations. Businesses feel pressure to be better, faster and smarter in operating processes, and understanding their various types of information is a key to success. Businesses are looking to capture value from all types of information both within the enterprise and on the Internet. In this context technology providers are now using the term “discovery” to capture potential buyers’ attention; it became an area for technology spending in 2012 and likely will be for years to come. In fact my colleague Tony Cosentino has identified discovery as one of the four pillars of big data analytics.
Topics: Big Data, Event discovery, Operational Performance Management (OPM), Business Analytics, Business Intelligence, CIO, Information Management, Location Intelligence, Operational Intelligence, Visualization, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Data, Data discovery, Financial Performance Management (FPM), Information Applications (IA), Information Discovery, Information Management (IM), information optimizations, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), visual discovery, Workforce Performance Management (WPM)