Table Of ContentPraise for Data Quality
“The promise of the ‘data economy’ (i.e., data is the new oil), combined with
the naive belief that AI can turn a company’s data into gold, is leading many
enterprises to experiment with adopting AI. But early adopters are learning
that one of the primary causes of AI failure is poor-q uality data being fed into AI
models (garbage in, garbage out). This highlights that raw data is insufficient
and that it must be refined to create value. Consequently, implementing
data- centric AI is rapidly becoming a best practice at both start- ups and
established technology companies. This book provides a pragmatic approach
for enterprises to acquire and manage good-q uality data based on proven best
practices. If you are a C- level executive or an AI practitioner seeking to deploy
AI at scale to drive value creation, I highly recommend this book.”
— Anik Bose
BGV managing general partner and founder, Ethical AI Governance Group
(EAIGG) (United States)
“Prashanth Southekal has nailed the ‘why’ and the ‘how’ about data quality’s
relation to analytics in this highly readable book. To be an economically viable
company in today’s transparent, global, and competitive world, business
leaders must champion the data quality and analytics journey and embed
them in decision support systems as an operational core competency. The
companies that advocate data quality and analytics integrate them in their
DNA to outsmart their competitors in strategic and tactical decision making
that yields sustainable success.”
— Gary Cokins
President, Analytics- Based Performance Management LLC;
co- author, Predictive Business Analytics (United States)
“Good data is a source of myriad opportunities, while bad data is a tremendous
burden. Data is now exposed at a much more strategic level (e.g., through
business intelligence systems), increasing manifold the stakes involved
for individuals and corporations, as well as government agencies. There,
the lack of knowledge about data accuracy, currency, or completeness can
have erroneous and even catastrophic results. In this book, Dr. Southekal
provides very detailed and thorough coverage of all aspects of data quality
management and best practices to improve data quality that would suit all
ranges of expertise from beginner to advanced practitioner.”
— Michael Taylor
AI chief data scientist, Siemens Mobility (Singapore)
“Dr. Southekal has a way of distilling complexity into practical applications
for global leaders who span multiple industries and market types. He leverages
his relationships to gain more perspective on data management. His book,
Data Quality: Empowering Businesses with Analytics and AI, builds on his prior
successes and hits the mark once again. ‘Improving data quality should be a
top priority for all business leaders.’”
— Victor Ojeleye
Planning & Reporting Manager, FP&A,
Cargill Protein North America (United States)
“Data quality is a fundamental building block of success in today’s digitally
agile world. It creates disruption in long- established industries, but also
allows traditional companies to innovate and drive more efficient and effective
decision- making practices. Data quality utilization will grow revenues and
reduce risk through better- connected intelligence. Dr. Southekal has created
a book that explains the why, what, and how of data quality. Written in
a structured, logical approach that allows all industries and leaders to fully
understand the importance of getting their data quality correct for true value
generation, Data Quality: Empowering Businesses with Analytics and AI is a
must- read.”
— Matthew Small
Managing director, Data Value Creation Ltd (United Kingdom)
“Prashanth provides an in- depth and scientific perspective on a very critical
topic for businesses and organizations today. He addresses the complete
lifecycle related to data quality, provides detailed explanation in each
chapter, and starts from what data quality is to how to capture DQ issues
proactively, govern the data, comply with regulations, and secure and
sustain DQ practices. There are key callouts depicted in the insight boxes
within each chapter. With the future trends indicating the shift toward right
data from big data, data quality is a concept that needs to be ingrained in a
company’s business fabric. The book is a very practical guide to data quality
that will be part of my toolkit.”
— Ramdas Narayanan
Vice president, Bank of America (United States)
“Data-d riven organizations understand that useful data is not simply found
and organized by itself. In this book, his third, Dr. Prashanth Southekal shows
business leaders the foundations needed to create a company that wants
data- and analytics-l ed decisions to be part of their strategy. For data leaders
and practitioners, this book will not only guide you but will also trigger new
thoughts and ideas.”
— Mark Stern
Vice president of Analytics and BI, BetMGM (United States)
“Data is growing and almost every company is a data company. The majority
of organizations want to be in the data- driven space, utilizing and monetizing
data through advanced analytics and AI. Although the thought process
is great, when it comes to practical implementations most companies are
struggling to get value out of their investment. In the consulting space we
are seeing repeatedly the need for getting the basics and foundation right.
Dr. Southekal’s book Data Quality: Empowering Businesses with Analytics and
AI is empowering business and data leaders and giving practical guidance on
how to build good- quality data to get the most value from analytics and AI
projects.”
— Rathi Subbaraj
Senior manager, Dufrain (United Kingdom)
“The most thorough and comprehensive book I’ve seen on data quality. It
covers the entire lifecycle of data management in the current enterprise, AI,
and analytics landscape. The book contains a wealth of valuable strategic
and tactical elements, as well as best practices for getting the most value from
data for the business. A must- read for anyone looking to leverage the value of
enterprise data.”
— Tobias Zwingmann
Managing partner, RAPYD.AI (Germany)
“In today’s world, where almost every company is dealing with petabyte-
scale data, data quality is something that should be ingrained in all phases
of the data lifecycle. In this book Dr. Southekal takes you on a journey of
data quality and its lifecycle. It provides an in- depth perspective and the
right approach to manage DQ. This book provides a detail explanation of
the DARS approach, the DQ lifecycle and its difference phases, multiple
dimensions of DQ, data decay, best practices, and a lot more. Dr. Southekal
hits the mark again, and this book should be part of the toolkit for all levels
of DQ and data practitioners.”
— Ujjwal Goel
Director, Data Architecture & Data Engineering, Loblaw (Canada)
“The economy of data has been a trending subject for some time now. But the
poor quality of the data affects the decision-m aking ability and the performance
results. Most of the publications in this space refer to the physical flaws in data
quality, like data downtime, whereas the author extends the definition to the
logical flaws in data, which are much harder to spot and resolve. Dr. Southekal
created a playbook for delivering business value from data, with prescriptive
recommendations based on best practices for data governance and management
practices, all based on the proprietary evaluation framework for data quality.”
—I nna Tokarev Sela
CEO, Illumex AI (Israel)
“Dr. Southekal has done it again: given the data science community a gem
of a framework (DARS: Design- Assess- Realize-S ustain) that they can apply
to maximize ROI from their data and analytics initiatives. Data Quality:
Empowering Businesses with Analytics and AI does a phenomenal job explaining
nuanced concepts in a language that can be very easily understood by both
technical and business audiences.”
— Swapnil Srivastava
VP and Global Head of Analytics, Evalueserve (United States)
“Like his previous two books, Data Quality: Empowering Businesses with
Analytics and AI is yet another great read for enterprise data leaders. In this
book, Dr. Southekal first sets up a framework to understand and measure
the quality of business data (the Define and Assess phases); he then provides
a guidebook to implement data quality programs (the Realize and Sustain
phases). In today’s AI- driven world, this book will help business leaders build
a solid data foundation.”
— Li Kang
Head of Strategy, CelerData (United States)
“With accelerating change, decision-c ycle times are narrowing, placing
increased pressure on organizations to make faster and effective decisions to
drive the biggest impact. In this environment, data quality issues can amplify
the impact and costs of incorrect decisions. In this book, Dr. Southekal provides
a comprehensive approach, practical frameworks and best practices to defining
and addressing data quality issues. This is a must read, full of important and
practical information, for all data professionals.”
—S anjeev Chib, CPA, CA
VP (Product) and managing director, Data Solutions, Moneris (Canada)
“Southekal’s Data Quality goes well beyond delivering a thoughtful, useful,
and usable text on the virtues and value of quality data; it offers accessible
and actionable insights into how serious organizations can get measurable
value from their data investments. His ‘Define, Assess, Realize, and Sustain’
framework offers both a guide and a roadmap to making ‘data’ the asset it can
and should be for the digital and digitizing enterprise. I am impressed by its
clarity. It’s comprehensive without being overwhelming. Check it out.”
— Michael Schrage
Research fellow, MIT Sloan School Initiative on the Digital Economy;
Author, Recommendation Engines and The Innovator's Hypothesis,
MIT Press (United States)
“There are often misnomers when it comes to understanding how valuable
data can be to driving an organization forward. Unfortunately, in some
cases, data is an afterthought, only because the people managing it either
don’t invest or they don’t know how to go about deploying a great data
program. Dr. Southekal’s latest book spells it out for you in a way that is simple
to understand for all business users looking to improve their data products.
If you are a product owner/manager looking to improve your data product,
then I recommend adding this to your knowledge bank. I certainly will.”
— Diane Robin
Senior technical product owner, Data & Analytics, Talentnet (Canada)
“If you want to know about empowering business with analytics and AI, this
is the book for you – the transformation of business through 3Ds (enabling
data- driven decisioning). The aspects highlighted in the book could be familiar
(‘been there, done that’), even anecdotal at times; however, this book helps
to highlight and join the dots in the successful integration and management
of good- quality data within an enterprise using the DARS framework. I
am recommending this book because there is no other in the market that
captures or attempts to transform business by purposefully empowering it
with its data lifecycle, lineage, security, profile, architecture, and governance,
thereby helping a business to leapfrog into the next phase of its evolution
and resilience. To quote Prashanth, ‘Data is a business asset only when it is
consciously captured and deliberately managed such that quality data is available
to run and sustain the business.’”
—T arun Jacob George
CEO, Tata Insights and Quants (India)
“In a ‘data is the new oil’ economy, Dr. Southekal illustrates the requirements,
pitfalls, and payoffs of ‘refining’ data for today’s business leaders. In the race
to create and capture value, many organizations suffer from the ‘capture it
all, figure it out later’ mindset. For leaders seeking to develop a sustainable
competitive advantage, the Define-A ssess- Realize- Sustain process is essential
to maximize value and, more importantly, avoid the many potential perils of
acting on insights derived from improper data management.”
— Mike Stratta
CEO, Arcalea (United States)
“This book by Dr. Prashanth Southekal is a great take on data quality. The
book presents aspects of data quality in very easy- to- understand concepts
and language. It talks about various frameworks and practical tools that can
be adopted to implement and improve data quality in an organization. The
concepts are well supported by various statistics that give a very practical and
analytical view of data quality. Thank you, Prashanth, for making data quality
so easy to understand.”
— Arihant Garg
Partner, KPMG (India)
“The ability of enterprises to become data driven, achieve data monetization,
drive digital transformation, and embrace the power of AI hinges on one
thing and one thing only: data quality. For companies to deliver and achieve
value from its data assets, data quality coupled with data management and
governance is key. As a data practitioner for well over two decades, I have
seen how data quality has played a role in achieving and sustaining long term
success from data. This book provides a practical, simple, and insightful guide
to manage data quality across its lifecycle (why to how). It is a must- have book
for C- level executives, business leaders, and AI practitioners embarking on the
journey to deliver value from data.”
— Santosh Raju
Global head Industry & Horizontal Solutions, Microsoft Practice,
HCL Tech (United Kingdom)
“A very well-constructed book written from a practical perspective that
demystifies business- driven data quality, taking a much-n eeded broader
approach focused on achieving business operational efficiencies and revenue
optimization driven by analytics. It goes beyond the early industry focus on data
profiling to encompass business process change and drive Master/Reference
Data Systems of Record frameworks. Prasanth brings thought leadership in
driving data quality as a top priority for organizations and a primary driver
of a targeted business approach versus a component of an enterprise data
governance or data management approach.
— Peter Kapur
Head of Data Governance, Data Quality and MDM,
Waste Management (United States)
“Would you like to arm yourself with the best source of information to
improving the bottom line of your organization by leveraging data analytics?
Look no further and take the opportunity to read the book Data Quality:
Empowering Businesses with Analytics and AI by Dr. Prashanth Southekal. Dr.
Southekal has a way of teaching the value of data to business owners that
allows anyone to see how they can easily improve business performance.
His expertise is easily adaptable to any industry.”
— Hadia Lugo
Director of Financial Planning & Analysis (FP&A),
Duke Energy (United States)
“Data as a strategic asset to drive business performance is being increasingly
recognized as a key tenet across many industries. In order to become a
data- driven enterprise, quality of data is of utmost importance. I found
Dr. Southekal’s DARS (Define, Analyze, Realize, and Sustain) approach highly
systematic and effective to define and implement a data quality program with
both strategic and tactical considerations. His emphasis that data governance
works best when implemented early in the data lifecycle is a great insight.
Without good- quality data, any attempt to leverage AI/ML is just hype. I highly
recommend this book as it provides an excellent, easy- to- practice framework
and techniques for practitioners.”
—Dr. Venkatraman Balasubramanian, PhD, MBA
SVP and Global Head, Healthcare and Life Sciences,
Orion Innovation (United States)
“There is no dearth of organizations talking about the need for data quality
but very few are actually able to make systemic and process level changes to
address and action the wide landscape of data in most modern enterprises. The
recommendations put forth by Dr. Prashanth Southekal in this book – DATA
QUALITY: EMPOWERING BUSINESSES WITH ANALYTICS AND AI provides a
practical and incremental way to tackling the behemoth sized problem”
—Kamayini Kaul
VP, Global Head Information Insights and Analytics
CSL Behring
