Make AI & BI work at Scale

2. © 2022 AtScale Inc. All rights reserved. 2
Contents
From the Editor’s Desk_________________________________________________________ 3
Foreword: Aligning AI & BI to Business Outcomes _____________________________________ 5
Chapter 1: Data Analytics and Competitive Advantage _________________________________ 8
Chapter 2: Business Value Creation with BI and Data Science ___________________________ 12
Chapter 3: Difference Between BI and Data Science __________________________________ 17
Chapter 4: Evolution to the Data Lakehouse ________________________________________ 26
Chapter 5: Data Literacy and Business Intelligence Drive AI/ML _________________________ 32
Chapter 6: Delivering Actionable Insights with Modern Data Platforms ____________________ 37
Chapter 7: AI for BI – Bridging the Gaps ___________________________________________ 42
Chapter 8: The Semantic Layer: The Link Between Data and Insights _____________________ 50
Chapter 9: Using the Semantic Layer to Make Smarter Data-Driven Decisions _______________ 55
Chapter 10: Empowering Decision Makers with BI and Data Science ______________________ 60
Chapter 11: Model Drift in Data Analytics: What Is It? So What? Now What? ________________ 64
Chapter 12: Four Key Signals That Indicate A Data Culture Is Thriving In Your Organization _____ 68
Chapter 13: Building a Competent Data and Analytics Team ____________________________ 73
Chapter 14: Ethical AI Governance_______________________________________________ 79
Chapter 15: Speed of Thought for Insights _________________________________________ 85
Glossary __________________________________________________________________ 90
Acronyms and Abbreviations ___________________________________________________ 94

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© 2022 AtScale Inc. All rights reserved.
Juan F Gorricho is the Vice President, Global Data and Business Intelligence at Visa. He leads the efforts for
data use at Visa globally, including data acquisition and architecture, data governance and quality, and data
consumption for internal decision making, for product development, and for data sharing. Before Visa, he was
the Senior Vice President of Data and Analytics at TSYS and Chief Data and Analytics Officer at Partners Federal
Credit Union, exclusively serving the Walt Disney Company employees. Gorricho has more than 20 years of
experience in the data and analytics space, and frequently speaks as a thought leader and an industry expert at
data and analytics related conferences and seminars. He holds an industrial engineering degree from Universidad
de los Andes in Bogotá, Colombia and a Master’s of Business Administration from the Darden Graduate School of
Business Administration at the University of Virginia.
Aligning AI &
BI to Business
Outcomes
VP of Global Data & Business Intelligence
Juan Gorricho
Foreword

4. 7
© 2022 AtScale Inc. All rights reserved.
Prashanth Southekal
Managing Principal, DBP Institute and Professor at IE
Business School
Chapter 1
Dr. Prashanth H Southekal is the Professor and Managing Principal of DBP-Institute, a Data Analytics Consulting
and Education company. He brings over 20 years of Information Management experience from over 75 companies
such as SAP, Shell, Apple, P&G, and GE. In addition, he has trained over 3000 professionals world over in Data
and Analytics, and Enterprise Performance Management (EPM). He is the author of 2 books - Data for Business
Performance and Analytics Best Practices and contributes regularly to Forbes.com. He is an Adjunct Professor of
Data Analytics at IE Business School (Spain) where he received the teaching excellence award for the 2020-2021
academic year. Dr. Southekal holds a Ph.D. from ESC Lille (FR) and an MBA from Kellogg School of Management
(US).
Data Analytics
and Competitive
Advantage

5. 11
© 2022 AtScale Inc. All rights reserved.
Chapter 2
Ram Kumar
Chief Data and Analytics Officer, Cigna (International
Markets)
Ram Kumar is the Chief Data and Analytics Officer of Cigna’s International Markets. He is responsible for driving
data and analytics strategy and its execution for 30+ countries covering the Americas, EMEA, and the Asia Pacific.
He has held many executive roles in his 32+ years career, including CEO, Group CTO, CIO, and Group Head of Data
and Privacy. Ram has served as a member of the Data Research Advisory Board of MIT Sloan School, published over
150 articles, is a regularly invited keynote speaker in conferences globally and has spoken extensively. Ram holds a
Master’s degree in Computer Science and Engineering and a Bachelor’s degree in Electronics and Communications
Engineering with AI as a major in both.
Business Value
Creation with
BI and Data
Science

6. © 2022 AtScale Inc. All rights reserved. 25
Bill Inmon – the “father of data warehouse” – has written 60 books published in nine languages. Bill’s latest
adventure is building technology known as textual disambiguation (textual ETL) – technology that reads the
raw text and allows the text to be placed in a conventional database so it can be analyzed by standard analytical
technology. ComputerWorld named Bill as one of the ten most influential people in the history of the
computer profession. Bill lives in Denver, Colorado. For more information about textual disambiguation (textual
ETL), refer to www.forestrimtech.com. Three of Bill’s latest books are DATA ARCHITECTURE: SECOND EDITION,
Elsevier press, HEARING THE VOICE OF THE CUSTOMER, Technics Publications, and TURNING TEXT INTO GOLD,
Technics Publications.
“Father of Data Warehouse”
Founder & CEO, Forest Rim Technologies
Bill Inmon
Chapter 4
Evolution to the
Data Lakehouse

7. © 2022 AtScale Inc. All rights reserved. 31
Megan C. Brown (they/them) is the Director of Knowledge Management and Data Literacy at Starbucks. They build
high performing, inclusive teams that deliver forward-thinking data products, build trusted relationships across the
business, and remove obstacles to making decisions with data and analytics. Prior to their current role, they were
a data scientist in the people and marketing spaces. They are a quant research psychologist (with experience in
experimentation, inferential statistics, econometrics, and ML) who enjoys teaching, writing, and speaking about
data literacy, data science, and how use analytics to make data-informed decisions.
Megan Brown, PhD, Director, Knowledge Management &
Data Literacy, Starbucks
Megan Brown
Data Literacy
and Business
Intelligence
Drive AI/ML
Chapter 5