Mark Smith's Analyst Perspectives

Four Types of Discovery Technology For Using Big Data Intelligently

Posted by Mark Smith on May 7, 2013 9:42:17 AM

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.

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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)

Cambridge Semantics Makes Intelligent Use of Information

Posted by Mark Smith on Apr 12, 2012 8:58:11 AM

The increasing volume of information within enterprises and on the Internet requires businesses to be smarter and more efficient in how they use it. One large challenge is navigating through information and access to the data underlying key business documents in a way that people actually think and operate. The traditional technology approach is defining a data model with a database and then mapping the data to it and is not capable of dealing with data from diverse unstructured information sources and do not provide navigation or discovery on the information. Fortunately, information technology has advanced to provide ways to build a semantic information framework over a company’s unstructured information assets in the enterprise and on the Internet.

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Topics: Social Media, Sustainability, Business Analytics, Business Collaboration, Business Mobility, Business Technology, Chief Information Officer, Cloud Computing, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Business Intelligence (BI), Business Performance Management (BPM), Cambridge Semantics, Customer Performance Management (CPM), Data Virtualization, Financial Performance Management (FPM), Informatics, Information Applications (IA), Information Discovery, Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)