Ventana Research Analyst Perspectives

IBM Brings New Innovation in Analytics for Business Insights

Posted by Ventana Research on Dec 18, 2013 8:50:48 AM

Like every large technology corporation today, IBM faces an innovator’s dilemma in at least some of its business. That phrase comes from Clayton Christensen’s seminal work, The Innovator’s Dilemma, originally published in 1997, which documents the dynamics of disruptive markets and their impacts on organizations. Christensen makes the key point that an innovative company can succeed or fail depending on what it does with the cash generated by continuing operations. In the case of IBM, it puts around US$6 billion a year into research and development; in recent years much of this investment has gone into research on big data and analytics, two of the hottest areas in 21st century business technology. At the company’s recent Information On Demand (IOD) conference in Las Vegas, presenters showed off much of this innovative portfolio.

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Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Applications, Data Discovery, Discovery, Information Discovery, SPSS

Three Major Trends in New Discovery Analytics

Posted by Ventana Research on Aug 13, 2013 10:45:40 AM

A few months ago, I wrote an article on the four pillars of big data analytics. One of those pillars is what is called discovery analytics or where visual analytics and data discovery combine together to meet the business and analyst needs. My colleague Mark Smith subsequently clarified the four types of discovery analytics: visual discovery, data discovery, information discovery and event discovery. Now I want to follow up with a discussion of three trends that our research has uncovered in this space. (To reference how I’m using these four discovery terms, please refer to Mark’s post.)

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Topics: Datameer, SAP, Splunk, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, IBM, Information Applications, Information Builders, Operational Intelligence, Oracle, Data Discovery, Information Discovery

Four Types of Discovery Technology For Using Big Data Intelligently

Posted by Mark Smith on May 7, 2013 9:41:19 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, Sales Performance, Supply Chain Performance, Event discovery, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Visualization, Workforce Performance, Data, Data Discovery, Information Discovery

Cambridge Semantics Makes Intelligent Use of Information

Posted by Mark Smith on Apr 12, 2012 8:57:53 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: Sales Performance, Social Media, Supply Chain Performance, Sustainability, IT Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Workforce Performance, Cambridge Semantics, Data Virtualization, Informatics, Information Discovery