Ventana Research Analyst Perspectives

From Analytics to Action Requires Collaboration

Posted by David Menninger on Sep 20, 2018 8:35:24 AM

All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.

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Topics: data science, Machine Learning, business intelligence, Analytics, Collaboration, Data Governance, Information Optimization, digital technology, collaboration for business

Blockchains Come in Different Shapes and Sizes

Posted by Robert Kugel on May 27, 2018 11:29:12 PM

Blockchains are attractive because their built-in security and trust factors make them useful for almost all business interactions involving organizations and individuals. Blockchains have two basic functions. One is as a method for handling transactions involving property such as land deeds, trademarks or other assets. The second involves exchanges of data such as identities of individuals or businesses, the location of an object at a point in time or weather conditions. All interactions involving property or assets include the transfer of data as well, of course, but some blockchain use cases are informational only.

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Topics: Big Data, data science, Mobile, Marketing Performance Management, Office of Finance, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, digital technology, Digital Marketing, Digital Commerce, Operations & Supply Chain

Cloudera Strengthens Big Data for Business and IT

Posted by Mark Smith on Mar 30, 2017 12:56:45 AM

Cloudera provides database and enabling technology for the big data market and overall for data and information management. As my colleague David Menninger has written, the big data and information management technology markets are changing rapidly and require vendors to adapt to them. Cloudera has grown significantly over the last decade and now has approximately 1,000 customers and provides support and services in countries around the world. Its product and technology strategy is to provide a unified data management platform, Cloudera Enterprise, that can meet the data engineering and science needs for a range of analytic and operational database applications. Its primary focus is its Enterprise Data Hub, which as a data lake can handle organizations’ big data and analytical needs. As David Menninger asserts, the data lake is a safe way to invest in big data. It also helps shift the focus  away from the V’s (volume, velocity and variety) of big data to the A’s, which are analytics, awareness, anticipation and action.

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Topics: Big Data, data science, Machine Learning, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Cognitive Computing, Information Optimization, digital technology