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
- 3. 5 © 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