The market capitalization of companies is strongly associated with industry sector and digital disruption. In the classic book Digital Vortex, authors Tomoko Yokoi, Jialu Shan, Michael Wade, and James Macaulay, define Digital Vortex as ...
Author: Prashanth H Southekal, PhD, MBA
Publisher: Technics Publications
ISBN: 9781634628297
Category: Computers
Page: 208
View: 315
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Deliver enterprise data analytics success by following Prashanth’s prescriptive and practical techniques. Today, organizations across the globe are looking at ways to glean insights from data analytics and make good business decisions. However, not many business enterprises are successful in data analytics. According to Gartner, 80% of analytics programs do not deliver business outcomes. Mckinsey consulting says, less than 20% of the companies have achieved analytics at scale. So, how can a business enterprise avoid analytics failure and deliver business results? This book provides ten key analytics best practices that will improve the odds of delivering enterprise data analytics solutions successfully. It is intended for anyone who has a stake and interest in deriving insights from data analytics. The three key differentiating aspects of this book are: · Practicality. This book offers prescriptive, superior, and practical guidance. · Completeness. This book looks at data analytics holistically across the four key data analytics domains - data management, data engineering, data science, and data visualization. · Neutrality. This book is technologically agnostic and looks at analytics concepts without any reference to commercial analytics products and technologies. Dr. Southekal proves why he is one of the leading thinkers on data and analytics today. ‘Analytics Best Practices’ is an indispensable guide for business leaders and those looking to get into the analytics field on the nuances, challenges, and immense opportunities with data. Douglas B. Laney Principal, Data & Analytics Strategy, Caserta, and author of “Infonomics” Dr. Southekal’s book is a treasure trove of best practices and practical examples from the field of Data Analytics. Upen Varanasi CEO & Co-Founder, Riversand Technologies What I like about this book is its focus on real-world best practices with an extensive set of practical tips and tricks. It provides an important bridge between the data management and business operations sides of a business. Michael Wade Professor of Innovation & Strategy, IMD Business School Prashanth’s book is accessible and practical – an excellent guide for corporate leaders who want to produce meaningful business results from the use of data and analytics to create true business value. Irina Pelphrey Senior Director, Walmart Corporation This book is a must on the desks of business executives and decision makers at all levels in an organization who want to truly understand what it takes to become a successful data driven organization. Ram Kumar Senior Vice President, Quantium Dr. Prashanth Southekal has created a practical guidebook for realizing business value from data and analytics investments. Highly recommended. Randy Bean Founder & CEO, NewVantage Partners Prashanth’s second book starts with the right title – it is always about BUSINESS VALUE. The practices explored here will help anyone interested to achieve these goals. Mario Faria Gartner Research Board The Analytics Best Practices book is one of the most comprehensive and well-researched books I have come across on data analytics. Ameet Shetty Former Chief Data and Analytics Officer, McDonald's Corporation I would encourage all professionals to read this easy to navigate, thoughtful and pragmatic book as it is relevant to all of us seeking to maximize the ROI for our organizations. Lisa M. Wardlaw Former EVP, Global Chief Digital Strategy Officer, MunichRe Deriving actionable insights from data requires that linkage to be clear between art and science and this book does just that. Chris Leonard, Director, Digital Strategy & Transformation, Plains Midstream Prashanth’s book simplifies the complex world of data analytics, and one to understand the drivers of bringing valued results to an organization. Matthew Joyce Senior Solution Architect, SAS-Institute