Technics Publications

Analytics Best Practices

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Analytics Best Practices: A Business-driven Playbook for Creating Value through Data Analytics, by Prashanth Southekal

Deliver enterprise data analytics success by following Prashanth’s prescriptive and practical techniques.

Topics

 

Chapter 1: Data Analytics and Competitive Advantage


Analytics, intuition, and data
About business data
Data and competitive advantage
Data in the balance sheet
About analytics best practices
Conclusion
References


 

Chapter 2: Best Practice #1 – Tie Stakeholders’ Goals to Questions and KPIs


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 3: Best Practice #2 – Build the High Performing Analytics Team


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 4: Best Practice #3 – Understand the Data from the Analytics View


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 5: Best Practice #4 – Source Data for Analytics Strategically


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 6: Best Practice #5 – Make Data Compliance an Integral Part


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 7: Best Practice #6 – Focus on Descriptive Analytics for Data Literacy


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 8: Best Practice #7 – Use Continuous Refinement and Validation


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 9: best Practice #8 – Leverage Analytics for Data Monetization


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 10: Best Practice #9 – Support Analytics with Enterprise DG


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 11: Best Practice #10 – Implement Insights with Data Storytelling


Why is this a best practice?
Realizing the best practice
Conclusion
References


 

Chapter 12: Conclusion


Case study: Data insight product for Payload Technologies
About bad analytics
Selecting statistical tools for analytics
Closing thoughts
Reference


 

Appendix 1: Data Quality Dimensions

 

Appendix 2: Analytics Abbreviations and Acronyms

 

Appendix 3: Analytics Glossary

 

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 and Co-Founder, Riversand Technologies Inc.

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 and 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, Executive Head and 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 and CEO, NewVantage Partners, and contributing author for Forbes and Harvard Business Review

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

About Prashanth

Prashanth Southekal is the Managing Principal of DBP-Institute, a Data Analytics Consulting and Training firm. He has consulted for over 50 small, medium and large organizations, including P&G, GE, Shell, Apple, SAS, and SAP, and solved problems that are at the intersection of data, technology, and business productivity.

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