Key Trends in Data Management and Analytics in 2025

Posted by Mike Ferguson | January 22, 2025 | Blog

The following trends were originally presented by me at Big Data LDN in September 2024 and have since updated slightly for 2025. These trends are not in any specific order or priority.

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Update from ThoughtSpot Beyond

Posted by Mike Ferguson | May 27, 2022 | Blog

I attended the ThoughtSpot Beyond conference recently in Las Vegas, Nevada where the growing search-based BI platform vendor made a series of announcements to both solidify and strengthen its position in a mature BI platform market. The following summarises what they announced together with my analysis of these announcements recognising that we are in a […]

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Has Informatica Raised the Bar on Hybrid Data and Application integration?

Posted by Mike Ferguson | January 29, 2018 | Blog

Over recent years the adoption of cloud computing has really gained momentum with more and more retailers, pharmaceuticals, telcos, financial services and just about every business voting to forgo the headache of managing complex hardware and software infrastructure themselves to spend more time trying to make use of applications, data, analytics and self-service BI tools […]

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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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