• The Data Management Toolkit

    You will be purchasing the digital version of the book (PDF). Eight years ago, I joined a new company. My first challenge was to develop an automated management accounting reporting system. A deep analysis of the existing reports showed us the high necessity to implement a singular reporting platform, and we opted to implement a data warehouse. At the time, one of the consultants came to me and said, “I heard that we might need data management. I don’t know what it is. Check it out.” So I started Googling “Data management”… This book is for professionals who are now in the same position I found myself in eight years ago and for those who want to become a data management pro of a medium sized company.It is a collection of hands-on knowledge, experience and observations on how to implement data management in an effective, feasible and “to-the-point” way.
  • The Data Management Cookbook

    You will be purchasing the digital version of the book (PDF).
    A pocket guide for implementation of data management
    A lot of companies realize that data is an invaluable asset and has to be managed accordingly. They would also like to get value from data. Everyone wants to be ‘data-driven’ these days. What lies beneath this idea, is the wish to make the decision-making process easier and more effective. It means delivering the required data of acceptable quality to the relevant decision makers when and where they need it. In short: a lot of companies have the necessity to manage their data properly. The main question is: how do you put this in practice? Knowing the potential of your data, and managing it correctly is the key to an effective and successful business. As a result of well-implemented data management, you will be able to reduce risks and costs, increase efficiency, ensure business continuity and successful growth.In this book, we invite you for a five-course dinner. During each course we will explain the steps of our 5-step programme which guarantees successful implementation of data management.
    • A new, extended version of this book will be published in Q2 of 2022.
    • This book is a brief overview of the model and has only 24 pages.*
    You will be purchasing the digital version of the book (PDF). The “Orange” (meta)model of data management provides an overview of techniques for a practical set up of data management through the design and implementation of the data and information value chain, enabled by a set of data management capabilities. The “Orange” model assists in specifying the feasible scope of data management capabilities, that fits the company’s business goals and resources. This book provides a brief introduction to the model and its main concepts. The full-scope methodology is only available via licensed agreements. This book works together with the earlier published “The Data Management Toolkit” which is a practical implementation guide of the chosen data management capabilities.
  • You will be purchasing the digital version of the book (PDF). Data lineage has become a daily demand. However, data lineage remains an abstract/ unknown concept for many users. The implementation is complex and resource-consuming. Even if implemented, it is not used as expected. This book uncovers different aspects of data lineage for data management and business professionals. It provides the definition and metamodel of data lineage, demonstrates best practices in data lineage implementation, and discusses the key areas of data lineage usage. Several groups of professionals can use this book in different ways: • Data management and business professionals can develop ideas about data lineage and its application areas. • Professionals with a technical background may gain a better understanding of business needs and requirements for data lineage. • Project management professionals can become familiar with the best practices of data lineage implementation.