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Data Strategy Creation – A Roadmap

Peter James Thomas

Data Strategy creation is one of the main pieces of work that I have been engaged in over the last decade [1]. In my last article, Measuring Maturity , I wrote about Data Maturity and how this relates to both Data Strategy and a Data Capability Review. I find Data Strategy creation a very rewarding process.

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Data Professional Introspective: Your Organization Can’t Create an EDM Strategy

TDAN

In 1980, there were 540M people living in extreme poverty; by 2014, there were only 80 million. Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020.

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Data Professional Introspective: Why You Can’t Create an EDM Strategy

TDAN

By 2014, there were only 80 million. Some countries successfully create long-term strategic plans, for examples China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020. In 1980, there were 540 million people living in extreme poverty.

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Success is Growth – Data Insight promotes high performing leadership

Data Insight

Success is a combination of many things; data, knowing what to do with it, access to the best tools, and how to turn it into value and insights – this is all done by the best people. Carmen Vicelich founded Data Insight in 2014 and mortgage technology business Valocity shortly after.

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Measuring Maturity

Peter James Thomas

In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. However, in this initial article, I wanted to to focus on one tool that I have used as part of my Data Strategy engagements; a Data Maturity Model.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade.