Data Teams...A Unified Management Model for Successful Data-Focused Teams

Book

Brief

Learn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does. Most organizations fail with big data projects and the failure is almost always blamed on the technologies used. To be successful, organizations need to focus on both technology and management. Making use of data is a team sport. It takes different kinds of people with different skill sets all working together to get things done. In all but the smallest projects, people should be organized into multiple teams to reduce project failure and underperformance. This book focuses on management. A few years ago, there was little to nothing written or talked about on the management of big data projects or teams. Data Teams shows why management failures are at the root of so many project failures and how to proactively prevent such failures with your project.

The Data Management Toolkit... A step-by-step guide

Book

Brief

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 Model Toolkit...Data Architecture Fundamentals

Brief

Book

This book is a key resource that explains step by step, the essential skills required to rigorously construct and quality assure Logical Data Models. It also defines the processes required for organizations to successfully adopt them, and so align their systems, operations and strategic direction. In the last decade, Data Models have made the transition from being ad-hoc and limited in scope, to becoming a central pillar of the Enterprise Data Architectural landscape. Arguably they are now more important than ever. It is only with a full and agreed understanding of the ‘What?’, ‘When?’ and ‘How?’ of an organization’s data structures and flows, that we can, for example; contemplate plugging COTS products together, implement in the Cloud, ingest data into our Data Lakes, or report across the Enterprise system landscape.

Data Governance...How to Design, Deploy, and Sustain

Brief

Book

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. This book is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.