Data Product Management in the AI Age
Apress (Verlag)
979-8-8688-1314-6 (ISBN)
We have firmly entered the artificial intelligence (AI) age,. Data, the backbone of this technology, is more crucial than ever. If the algorithm is the brain, data is the content that feeds it. This book argues that to succeed in this era, organizations should adopt a holistic approach to data-one that uses product management principles to inform how data is sourced and designed, managed and maintained, optimized and leveraged.
This book moves in two sections from the fundamentals to practical applications. In the first part, you'll learn about the concepts that underlie product theory, the data architecture journey, and the necessary knowledge to manage products of data. The second part teaches you to put everything into practice, paying particular attention to the designing of solutions to ongoing maintenance and optimization. By the end of the book, you will have tools to begin transforming your organization's data strategy and approach to get-and stay-ahead of the competition.
What You Will Learn
- Know the evolution of data architecture and strategies
- Understand the fundamentals of data product management
- Know the differences between Data Product and Data as a Product
- Know what the Golden Data Platform is and how to use it
- Know what Data Product Management Canvas is and ow to use it
- Reorient your data strategy with product management principles
- Understand the concepts of products and data architecture evolution in relation to your leadership
- Evaluate how to solve data architecture without bias by technology
- Design and implement Data as a Product during a project and ongoing
Who This Is Book Is For
Data leaders or managers who design and implement data products; product managers interested in working with data; analytics engineers, data engineers, data scientists and/or machine learning engineers implementing data solutions; data-related professionals and developers aspiring to data leadership and product management
Jessika Milhomem is a seasoned expert with over 18 years of experience in Data Product Management, Data Governance, Analytics, Data Engineering, and Machine Learning Engineering. She has led strategic initiatives across a wide range of industries—including digital banking (Nubank, PagSeguro), fashion, telecommunications, education, automotive, and consumer goods—delivering impactful, data-driven solutions. Jessika holds a degree in Databases, a postgraduate specialization in Business Intelligence with an emphasis in Enterprise Performance Management from FIAP, and an MBA in Big Data Analytics from FIA. Her passion lies in bridging business needs with the power of data and collaborative team dynamics to drive innovation and long-term value. As a leader, Jessika empowers teams to both consume and produce data products, championing a “data as a product” mindset that strengthens decision-making and fuels customer-centric innovation. You can learn about her work at https://jessikamilhomem.com.
Part I: Fundamentals for Data Product Management.- Chapter 1: Data Product Management Introduction.- Chapter 2: Data Analytical Architecture - Traditional Architecture.- Chapter 3 : Data Analytical Architecture - Big Data Architecture.- Chapter 4: Consolidating the Analytics Journey Knowledge.- Part II: Data Product Management in Practice.- Chapter 5: Golden Data Platform to Manage Data as a Product.- Chapter 6: Data Product Management.- Chapter 7: Designing the Product of Data - Understanding Phase.- Chapter 8: Designing the Product of Data - Exploring Phase.- Chapter 9: Designing the Data Product - Materializing Phase.- Chapter 10, Ownership process - Recurrent Cycle - Ongoing.
| Erscheinungsdatum | 27.08.2025 |
|---|---|
| Zusatzinfo | 40 Illustrations, color; 3 Illustrations, black and white |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Office Programme ► Outlook | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Allgemeines / Lexika | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Data Analytical Architecture • data architecture • data engineering • Data lakes • Data Mesh • Data Product • Data Science • Data strategy • product theory • Project Management |
| ISBN-13 | 979-8-8688-1314-6 / 9798868813146 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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