Integrating Analytic Data Using Data Virtualization

More Data = Better Analysis

The analytic data domain includes all kinds of data, including:

  • traditional enterprise data from sources like the Enterprise Data Warehouse;
  • big data from sources like Hadoop;
  • cloud data from SaaS applications and public providers;
  • social media data from sites like Facebook and Twitter; and
  • personal/desktop data from spreadsheets and flat files.

Data virtualization is an optimal solution to integrate all these sources, thereby improving analysis and business insight.

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Data Challenges in the Analytics Pipeline

Data is the lifeblood of analytics — the more diverse the better.

In their best-selling book, Big Data: A Revolution That Will Transform How We Live, Work, and Think, Mayer-Schonberger and Cukier describe the synergy that occurs when previously unrelated and disparate data is brought together to uncover hidden insights. But these advanced analytics data requirements are a double-edged sword as these more diverse sources complicate data integration and constrain progress.

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Going Deep on Analytic Sandboxes and Data Hubs

Richard Sherman, founder of Athena IT Solutions, which provides business intelligence, data integration and data warehouse consulting and training, has published two new white papers describing a new generation of analytical sandboxes and analytical hubs and their emerging role in enabling agile analytics.

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Trip Report from Gartner BI and Analytics Summit

Last week Composite Software was at the Gartner BI and Analytics conference in Dallas http://www.gartner.com/technology/summits/na/business-intelligence/

It was an incredible event in terms of content and community including:

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Don’t Let Legacy Systems Slow You Down

In our ever changing technology environment, new opportunities are everywhere.  Predictive analytics, big data, mobile, cloud and virtualization are but a few.

These new technologies improve business competitiveness, increase agility, save money and more.

But migrating from existing systems can be risk prone.  And efforts often drag out.

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Architecting Analytic Data Hubs

I Love Solution Architecture

I have been doing enterprise architecture for a long time. From my early days as a consultant at Accenture to my role at CTO of webMethods and for the past several years working with Composite Software’s largest enterprise customers, I find enterprise architecture a wonderful challenge.

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Capgemini Weighs in on Data Virtualization

New Report Addresses BI Urgency

Data Virtualization: How to get your Business Intelligence answers today is the title of a new thought leadership white paper from the Business Information Management group at Capgemini.

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Solving the Analyst’s Data Problem

Recently I have been talking to a number of data scientists and business analysts about what they actually do when performing a new analysis of some nature. Their processes were quite surprising because they were far more data intensive and far less modeling / analysis intensive than I had thought.

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Analytic Sandboxes and Data Virtualization

Analytics – Opportunities and Challenges

I have spent a number of years in the BI space including time with innovators including Business Objects and EMC. In my opinion, the opportunity for business people to perform new types of analysis to gain greater insight into their business and customers has never been greater.

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Data Virtualization Returns to the BBBT

Since 2010, Composite Software has kicked off the Boulder BI Brain Trust’s new year. In 2013 we continue this tradition on Friday January 4.

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