Gartner Blog Network

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a research vice president and agenda manager for MDM and Analytics at Gartner. His main research focus is master data management (MDM) and the drill-down topic of creating the "single view of the product" using MDM of product data. He was co-chair… Read Full Bio

New Research: Hype Cycle for Data Science, 2016

by Andrew White  |  July 25, 2016

My colleague Peter Krensky and others just published the Hype Cycle for Data Science, 2016. Advances in data science are sparking more creative business opportunities. While much of the hype is for artificial intelligence and deep learning, this Hype Cycle shows the breadth and depth of excitement about data science, with new technologies and some […]

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New Research: Five Steps to Creating a Business Case for Data Quality Improvement

by Andrew White  |  July 25, 2016

My colleagues Saul Judah and Ted Friedman just published this note: Five Steps to Creating a Business Case for Data Quality Improvement. Chief data officers and data and analytics leaders should create a business case for data quality improvement that connects directly with better business outcomes. Early and ongoing business engagement with a clear call to […]

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New Research: Hype Cycle for Enterprise Information Management, 2016

by Andrew White  |  July 15, 2016

My colleague Alan Duncan and I just published Hype Cycle for Enterprise Information Management, 2016. The shift to digital business requires organizations to change how they use data and analytics as a decision-making tool. This Hype Cycle tracks the progress of various the practices and disciplines of enterprise information management to guide CIOs and CDOs with […]

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When is a Data Lake an Enterprise Data Lake (EDL)?

by Andrew White  |  July 11, 2016

I was on one of those briefings where a ‘newish’, small vendor was telling me how unique they were and how their approach was brand new and never seen before.  The tenor of the call was typical of perhaps one or two such calls every 2-3 weeks.  There is a lot of innovation going on, […]

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New Research: Updated IT Score for BI and Hype Cycle’s for Information Infrastructure, Information Governance and MDM

by Andrew White  |  July 11, 2016

Out team published a couple of notes today. Cindy Howson and Alan Duncan just updated our IT Score for Business Intelligence and Analytics. Gartner’s maturity model gives data and analytics leaders a way to identify the level of development their business intelligence and analytics initiatives must reach in order to support enterprise goals. The model […]

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New Research: Data Risks in the Internet of Things Demand Extensive Information Governance

by Andrew White  |  July 7, 2016

My colleagues Ted Friedman and Saul Judah just published this note: Data Risks in the Internet of Things Demands Extensive Information Governance. As organizations struggle with the basics of governing traditional information types, challenges many times greater are looming in the Internet of Things. Data and analytics leaders must extend information governance practices to address several […]

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New Research: Ten Steps to Information Governance

by Andrew White  |  July 6, 2016

My colleague, Deb Logan, just published this note: Ten Steps to Information Governance. Information governance is foundational for digital business and analytics programs. Success requires data and analytics leaders to change their organizations’ behaviors, adopt a proven roadmap and measure success along the way. Enjoy!

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New Research: Doing Machine Learning Without Hiring Data Scientists

by Andrew White  |  June 21, 2016

My colleague, Alex Linden and others, just published this note: Doing Machine Learning Without Hiring Data Scientists. Many data and analytics leaders face a chicken and egg situation — without data scientists, venturing into machine learning and data science is tricky, but without any successful pilots, convincing the business to hire data scientists is tricky […]

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New Research: Resolve Postmodern ERP Data Complexity and Consistency Through Effective Engagement of Business Process Analysts

by Andrew White  |  June 20, 2016

My colleague Pat Phelan and I  just published a new note: Resolve Postmodern ERP Data Complexity and Consistency Through Effective Engagement of Business Process Analysts. In the postmodern ERP era, comprehensive business process knowledge is critical to assuring semantic consistency of data used by enabling solutions. ERP leaders must ensure the business process analyst role is properly […]

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New Research: The Data Warehouse and DMSA Market: Current and Future States, 2016

by Andrew White  |  June 20, 2016

My colleague Adam Ronthal and others just published this note: The Data Warehouse and DMSA market – Current and Future States, 2016. Distributed processes via platforms such as Hadoop, semantic tiers (data virtualization/federation) and advanced analytic users have evolved data warehousing deployment and architectures. Data and analytics leaders must understand this to support future requirements […]

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