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Data Management Strategy at Microsoft

Data Management Strategy at Microsoft

By : Aleksejs Plotnikovs
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Data Management Strategy at Microsoft

Data Management Strategy at Microsoft

5 (4)
By: Aleksejs Plotnikovs

Overview of this book

Microsoft pioneered data innovation and investment ahead of many in the industry, setting a remarkable standard for data maturity. Written by a data leader with over 15 years of experience following Microsoft’s data journey, this book delves into every crucial aspect of this journey, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture. This book emphasizes that success in a data-driven enterprise goes beyond relying solely on modern technology and highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices. You’ll see how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners who rely on data daily for their operational needs. This guide empower these professionals with clean, easily discoverable, and business-ready data, marking a significant breakthrough in how data is perceived and utilized throughout an enterprise. You’ll also discover advanced techniques to nurture the value of data as unique intellectual property, and differentiate your organization with the power of data. Its storytelling approach and summary of essential insights at the end of each chapter make this book invaluable for business and data leaders to advocate for crucial data investments.
Table of Contents (19 chapters)
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Part 1:Thinking Local, Acting Global
6
Part 2: Build Insights to Global Capabilities
11
Part 3: Intelligent Future

Where’s My Data and Who’s in Charge?

This first chapter delves into common business challenges stemming from the necessity of maintaining data quality and effective data management within a company. Often, there is either a complete absence of these practices or, at the very least, a partial implementation. This challenge typically impacts the end users of data the most, including sales, marketing, pre-sales, go-to-market, and finance teams. Meanwhile, the IT team tends to lag behind and might not even fully comprehend the issue until they are confronted with urgent user concerns.

This was notably the case for Microsoft in its early years of data enablement. The IT division had limited exposure to data-related problems as its focus was primarily on engineering and developing long-term solutions within a specific ecosystem. Consequently, there was no single global team responsible for overseeing data, ensuring data quality, and managing data across key Tier 1 Line of...

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Data Management Strategy at Microsoft
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