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Product Management in Business Intelligence

How Can Data Teams Deliver Value

43
Lingua :  English
The book is dedicated to creating sustainable and scalable analytical solutions, while utilizing principles of Product Development & Agile Delivery for rapid experimentation & enhanced value creation.
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Contenuto
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Many analytical solutions or BI departments treat data as an output rather as a strategic advantage. Organizations struggle to cater for multiple different analytical requests and end up delivering regular reports, which do not assist in business decisions, as well as lead to a phenomenon called analysis paralysis.Readers would be realizing how traditional BI teams are structured as well as differentiate between value creation and output. They will be equipped to make informed product choices with an Agile mindset, build scalable analytical systems and think with their customer at heart.

About the Author

Dimos is currently a Senior Product Manager at the entertainment industry. He has been a part of other innovative corporations like Adidas, Robert Bosch, PVH corporation, SONY, PepsiCo and is passionate about building innovative Products.Originally an electrical & computer engineer, he quickly became interested in business and decided to shift his focus with the verge being business analytics. Began a career in Belgium and he then moved to the Netherlands where his career shaped further into eCommerce-leading businesses.He is currently based in the UK and his focus are Products that deliver value to the end-user. He regularly shares some of his thoughts on Product thinking over LinkedIn, and portfolio, while some of his interviews have been featured on MarTech today, TechTarget in the US as well as has been speaking in other major events such as the DMWF, the IMH Digital, and Reshape.

  • About the Author
  • Introduction
  1. Organizational Structures of Analytics Departments
    1. Brief History in Analytics
    2. Digital Transformation & web2.0 Era
    3. Organizational Structures of Different Analytics groups
    4. Think about your Structure
  2. Why Do Most Analytical Groups Fail to Deliver Value
    1. Understanding Value
    2. Common Pitfalls to Avoid
  3. The Agile Manifesto
    1. Brief History of Waterfall Methodology
    2. Agile Manifesto
    3. Project Management Methodologies
    4. Product Management as a Function
  4. Applications of Product Thinking into Analytics
    1. Organizing Business Intelligence projects in an Agile Way
    2. About Product Thinking in Business Intelligence
    3. Examples of Analytical Processes & Projects
    4. Framework to follow for Product-led growth (PLG)
  5. New Organizational Approach
    1. A New Era into Web3.0 & New Technologies
  • Table of Figures
  • References

Learn how data can help businesses make better choices. Understand the history of data analysis and how it has evolved. Explore different ways to set up teams that work with data.

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Dimosthenis Papadopoulos