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Data for Business Performance: The Goal-Question-Metric (GQM) Model to Transform Business Data into an Enterprise Asset Paperback – February 15, 2017
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This book is absolutely timely and relevant in today's data-driven world. Most of the books on data available in the market today focus on data quality, governance, and analytics. This book from Dr. Prashanth Southekal is brilliant as it puts the business stakeholder at the center by addressing the key value propositions of the business user. This book is holistic and I strongly believe it will help to bridge the gaps we have today.
Managing Vice President, Gartner, US
In today's era of digital transformation, data and information are more important than ever. But deep understanding of how to manage data and information properly is in short supply. That is what I love about this book by Dr. Southekal. He tangibly closes that gap for the reader. If you are using digital transformation to improve your business performance, this book and its discussion of data's role in improving business performance is for you.
President, Americas Division, CC and C Solutions, US
Packed with insights and leveraging a process oriented approach, this book covers a unique combination of the science, the art and the strategy of unlocking the potential of data for enterprises in a real-life context. The author has managed to provide a clear action plan for creating data analytics and its management a key function in a modern enterprise.
Ashish Sonal (Vir Chakra)
CEO, Orkash, India
This book is one of the most practical sources for how companies can greatly improve their bottom line by improved data management and becoming a data-centric company. It combines leading data management theory with step-by-step implementation and real-life examples, and is a must-read for those wanting to derive more value from their corporate data.
Application Architect, Husky Energy, Canada
Certainly, an engaging read for both information management practitioners and business unit managers alike. The tools, models, and frameworks prescribed are valuable, relevant, and lucidly blend inputs from the real-world to address numerous data management glitches at organizations. Overall, a compelling read with several practical takeaways. Refreshing!
Digital & Analytics Practice Leader, IBM, India
Prashanth has given a very practical guide to implement data culture in an organization. The book Data for Business Performance talks about building the organization of the future and the role of data. Prashanth rightly believes and demonstrates that data is not an asset of the IT team and is an organization-wide asset. He proposes the need for the chief data officer (CDO) as a role that should anchor data and report to the CEO, and manage the stakeholders' data needs.
Senior Vice President, Hansa Cequity, India
Dr. Southekal provides valuable insights on data and information management in mostly short and clearly written sections. Anyone interested in the data-driven company should read this book and learn about the hurdles on the road to be data-driven, and his valuable suggestions on how to overcome them. His wisdom may prevent some of the failures that helped him learn.
Erik van der Voorden
Domain Architect, Independent Consultant, Netherlands
Data can tell us important stories when we process it by proven and structured approaches. Dr. Southekal's book presents such an approach based on the GQM method for transforming business data into an enterprise asset. This book is a valuable resource for organizations willing to become real data-driven organizations.
Ahmet Dikici, PhD
Project Manager, Tubitak Bilgem Software Technologies, Turkey
From the Inside Flap
Today, digitization is dramatically changing the business landscape, and many progressive organizations have started to treat data as a valuable business asset. While many enterprises are investing in improved data management, only a few have leveraged data to truly impact business performance. To address this problem, Data for Business Performance provides readers with practical guidance and proven techniques to derive value from data in todays business environment. Specifically, the book has five key elements that make it unique: 1. The book is holistic, as it looks at deriving value for all three key purposes of data: decision making, compliance, and customer service.2. The book is for practitioners, with practical guidance and proven techniques supported by real world examples.3. The book is relevant for the current business and IT landscape.4. The book is novel, with the adoption of the Goal-Question-Metric (GQM) framework as the core mechanism to monetize data in the organization, based on business goals, key questions, and key performance indicators (KPIs).5. The book is technology-agnostic, as concepts are used for unlocking the value of data without any reference to proprietary technologies.
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Top customer reviews
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While Dr. Southekal's fine book addresses these issues. He begins by stepping back and taking a wide-ranging view of the data landscape to focus first on the challenges, questions and issues businesses face and then finding the appropriate path forward to turn data into value to the business.
Before setting off down the wrong path, read this book to be certain you are developing an effective strategy towards maximizing real value to your business.
This book is easy to understand, concise, well written and provides practical, real world examples.
Perry Vickers - Enterprise Data Architect
Too often, businesses fail by embarking on a digital transformation without clear goals or plans. Using real examples from a wide variety of businesses, Dr, Southekal shows the potential pitfalls on such a journey, He presents clear and methodical strategies for defining, scoping, communicating, and implementing a successful transformation. He has presented all these perspectives in a single volume without having to refer to specific technologies. It is a valuable resource for anyone starting their company's journey to one that relies on evidence based decision making.
improve their operations using the Goal-Question-Metric (GQM) Framework.
The author clearly explains how GQM can provide a method for defining goals,
refining them into questions, deriving metrics, and finally identifying
relevant data elements to be managed for analytics, compliance, and
operations. Very well written from the practitioners' point of view. Hope
to see more from this author.