About this product

Product Identifiers

PublisherTechnics Publications, LLC

ISBN-101634628276

ISBN-139781634628273

eBay Product ID (ePID)24050097179

Product Key Features

Number of Pages208 Pages

Publication NameAnalytics Best Practices : a Business-Driven PlayBook for Creating Value Through Data Analytics

LanguageEnglish

Publication Year2020

SubjectGeneral

TypeTextbook

AuthorPrashanth Southekal

Subject AreaComputers, Business & Economics

FormatTrade Paperback

Dimensions

Item Weight15.5 Oz

Item Length9.3 in

Item Width7.5 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2020-935686

Reviews"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. LaneyPrincipal, Data & Analytics Strategy, Caserta, and author of Infonomics

SynopsisDeliver 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", Deliver enterprise data analytics success by following Prashanths 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.

LC Classification NumberQA76.9.Q36S68 2020