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: 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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New Research: Use Bimodal Enterprise Information Management to Succeed With Innovative Data and Analytics Programs

by Andrew White  |  June 20, 2016

My colleague, Nick Heudecker, just published this note: Use Bimodal Enterprise Information Management to Succeed With Innovative Data and Analytics Programs. Predictability and uncertainty are the core drivers of bimodal data and analytics efforts. Each driver requires a distinct but related approach to program management. Chief data officers and stakeholders must understand how to react to […]

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New Research: How CDOs Engage With Their Stakeholders to Deliver Real Business Value

by Andrew White  |  June 16, 2016

My colleague, Alan Duncan and others, just published this note: How CDOs Engage With Their Stakeholders to Deliver Real Business Value. Chief data officers and other data and analytics leaders must engage with a diverse set of business stakeholders to clearly articulate the desired outcomes of data and analytics initiatives, and ensure that deliberate and measurable […]

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Health IT: Information Governance Needs Focus on (Business, or Patient) Value

by Andrew White  |  June 16, 2016

For a second time in a week I was drawn to a Health Data Management article that warranted a blog.  On June 13th I blogged Healthcare IT: When Integration is not Enough that looked at the challenges of moving beyond technical integration and accommodating business data (semantic) interoperability.  Today  I spotted this article in my […]

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Microsoft Targets Mother of All Professional-People Master Data with LinkedIn Buy

by Andrew White  |  June 14, 2016

So you saw the announcement yesterday: Microsoft to acquire LinkedIn for over $26bn.  Our team were contemplating the meaning of the deal.  One thread came out: this is about the data.  This deal is on the heels of several other notable acquisitions as organizations ramp up the serious battle for ownership of the digital economy’s […]

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New Research: Experiment With Blockchains for Data Management Innovation

by Andrew White  |  June 14, 2016

My colleagues Nick Heudecker and Saul Judah just published this note: Experiment With Blockchains for Data Management Innovation. Blockchain technology’s data provenance features and trusted interactions could change how data is controlled, shared and governed. Although big technological hurdles remain, innovative data management opportunities are emerging. It’s time for data and analytics leaders to start experimenting. […]

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New Research: Toolkit – Enterprise Information Management Maturity Self-Assessment

by Andrew White  |  June 13, 2016

My Colleagues Doug Laney and Michael Moran just published this note: Toolkit – Enterprise Information Management Self-Assessment. Gartner’s maturity model for enterprise information management provides the building blocks for a strong EIM program. This maturity self-assessment will help data and analytics leaders — especially chief data officers — identify specific areas for improvement along seven […]

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Looking at Health IT: when integration isn’t enough

by Andrew White  |  June 13, 2016

I really liked the article by the Fred Bazzoli, editor in chief at Health Data Management.  The article, titled “Why EHR implementation is only half the battle“, explains succinctly that good adoption of electronic health records, at first pass a positive sign, is not really yielding the expected business (i.e. patient) benefits.  I’d like to […]

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