Operational BI and Analytics in a Data Driven Enterprise

Posted by Mike Ferguson | July 16, 2017 | Blog

For a lot of my clients today, the importance of BI and analytics has never been so high. And it’s pretty clear that that opinion is no longer just in middle management. It is also in the boardroom where the belief now appears to be that BI and analytics are mission critical to success. In […]

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ComputerWeekly guest blogpost by Mike Ferguson, “A Decade of Hadoop”

Posted by Mike Ferguson | February 5, 2016 | Blog

This is a ComputerWeekly guest blogpost by analyst Mike Ferguson on the 10th anniversary of Hadoop’s becoming a separate Apache subproject. In the 10 years since Hadoop became an Apache project the momentum behind it as a key component platform in big data analytics has been nothing short of enormous. In that time we have […]

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Smart Infrastructure and Smart Applications for the Smart Business

Posted by Mike Ferguson | January 18, 2015 | Blog

Over the last 30+ years I have been in the industry, I can’t remember a time when the IT infrastructure and application landscape of most of my clients has been so complicated. Today we have hardware servers, clusters, virtual servers, storage systems, file systems, databases servers, virtual storage, content management systems, application servers, cloud-based applications, […]

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Real-Time Analytics – The Route to Continuous Risk Management and Business Optimisation

Posted by Mike Ferguson | November 28, 2014 | Blog

Several surveys this year have indicated a significant rise in the importance of analytics. These include the BI Survey 2014, the 2014 Wisdom of Crowds® Advanced and Predictive Analytics Market Study and the Information Week 2014 Analytics, BI, and Information Management Survey which highlighted the top two factors driving interest in advanced analytics as: The […]

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Data Life Cycle in A Big Data Environment

Posted by admin | April 13, 2014 | Blog

The arrival of Big Data has seen a more complex analytical landscape emerge with multiple data stores beyond that of the traditional data warehouse. At the centre of this is Hadoop.  However other platforms like data warehouse appliances, NoSQL graph and stream processing platforms have also pushed their way into the analytical landscape. Now that […]

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