SPONSORED BY Becoming Data-Driven Tom Davenport, Babson College
Bill Franks, Teradata August 5, 2015
Slide 2
2 Bill Franks is the Chief Analytics Officer for Teradata and
author of the books Taming The Big Data Tidal Wave and The
Analytics Revolution. Franks is a faculty member of the
International Institute for Analytics, and an active speaker who
has presented at dozens of events in recent years. His blog,
Analytics Matters, addresses the transformation required to make
analytics a core component of business decisions. Tom Davenport is
the Presidents Distinguished Professor of IT and Management at
Babson College, he is also the co-founder of the International
Institute for Analytics, a Fellow of the MIT Center for Digital
Business, and a Senior Advisor to Deloitte Analytics. He teaches
analytics and big data in executive programs at Babson, Harvard
Business School, MIT Sloan School, and Boston University. 2015
Teradata Featured Speakers
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3 2015 Teradata What does it mean to be Data-Driven?
Slide 4
4 2015 Teradata Varieties of Data-Driven Data-driven
organizations Data-driven culture Data-driven strategy Data-driven
decision-making Data-driven marketing Data-driven executives
Data-driven industries Data-driven supply chain Data-driven design
The Data-driven life Data-driven programming
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5 Data and analytics drive most aspects of the company! Most
decisions and actions based on data and analytics Business
processes digitized and create data as they operate Data is
consistent throughout organization and of high quality Data heavily
used in operations and in customer offerings Data-driven
organizations dont have perfect data But its governed well, and is
good enough for widespread use 2015 Teradata What Does it Mean to
Be a Data-Driven Organization?
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6 2015 Teradata Can you share some of the benefits of being a
Data-Driven organization?
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7 Customer Insight Gathering and analyzing data from all
customer transactions Demographics What you buy What you look at
online Etc. Examples of data-driven customer insights A billion
dollar loyalty database at Caesars Data-driven customer
relationships at RBC 2015 Teradata Benefits of Being
Data-Driven
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8 Operational Efficiency Using data and analytics to deliver
dramatic improvements in operational performance Supply chain
Manufacturing Service and sales processes Examples of data-driven
operational efficiency New metrics and optimized manufacturing
operations at McCain Foods Using sensors in POS devices at NCR to
identify likely failures before they happen Shorter waiting times,
lower blood use at Cleveland Clinic 2015 Teradata Benefits of Being
Data-Driven
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9 Better Financial Management Optimize use of financial
resources and understand what drives performance Risk analysis
Testing capital investments Predictive performance management
Examples of data-driven financial management Real-time,
one-version-of-the-truth financial decisions at Boeing Assessing
service-based profitability at TD Bank 2015 Teradata
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10 Creation of New Products and Services Offering products and
services based on data and analytics Online companies Traditional
industrial firms New business units Examples of data-driven
products and services Precision agriculture services at Monsanto
Predictive maintenance services at GE Aircraft and Energy People
You May Know and others at LinkedIn 2015 Teradata Benefits of Being
Data-Driven
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11 2015 Teradata What are the key choices an organization needs
to make when becoming data-driven? Can you provide some real-world
examples?
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12 2015 Teradata Key Choices in Being Data-Driven Internal or
external focus? Offense or defense ? Infrastructure or business
applications ? Transactional or behavioral data? Descriptive
analytics or predictive and prescriptive? Human or automated
decisions?
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13 2015 Teradata Can you explain the various levels of
data-driven organizations?
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14 Data-Driven Strategy and Competition Data products and
services Operational and pervasive data-driven decisions Management
of structured and unstructured data Enterprise focus on data and
analytics Data-Driven Competencies Advanced analytics usage
Evidence-based culture Big data exploration and pilots Executive
engagement in data initiatives Organizations progress through
defined stages of being data- driven Doesnt work to strive for the
highest stages without achieving the lowest But useful to know the
purpose of completing the initial stages Not just for their own
sake 2015 Teradata Three Stages of Data-Driven Organizations
Foundation Transaction systems Data warehouse Sturctured data
reporting Basic governance
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15 Good transaction systems to provide data ERP, CRM for
example A place to store the data for analysis typically a
warehouse or mart Some ability to do descriptive analytics on the
data Reports, scorecards/dashboards, queries A governance structure
for key data For integration, common data 2015 Teradata Foundation
Stage Foundation Transaction systems Data warehouse Sturctured data
reporting Basic governance
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16 Widespread use of predictive and prescriptive analytics A
culture that emphasizes analytical decisions Some exploration and
analysis of unstructured big data Clickstream, social media, text
Executives on board Aware of the potential, engaged in the
execution 2015 Teradata Data-Driven Competencies Stage Data-Driven
Competencies Advanced analytics usage Evidence-based culture Big
data exploration and pilots Executive engagement in data
initiatives Foundation Transaction systems Data warehouse
Sturctured data reporting Basic governance
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17 Some development of data and analytics-based products and
services for customers Analytics and automation embedded within
systems and processes Widespread use and integration of both
structured and unstructured data Experiments with Hadoop, data
discovery, data lakes, etc. Enterprise roles and responsibilities
for data and analytics CDO, CAO, etc. 2015 Teradata Data-Driven
Strategy and Competition Stage Data-Driven Strategy and Competition
Data products and services Operational and pervasive data-driven
decisions Management of structured and unstructured data Enterprise
focus on data and analytics Data-Driven Competencies Advanced
analytics usage Evidence-based culture Big data exploration and
pilots Executive engagement in data initiatives Foundation
Transaction systems Data warehouse Sturctured data reporting Basic
governance
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18 Financial Services Firms Wells Fargo Capital One Citi JPMC
RBC TD Online Businesses data-driven from birth Google eBay
LinkedIn Facebook Retailers WalMart Target Williams-Sonoma Macys
Tesco 1-800-Flowers.com 2015 Teradata Data-Driven Strategy and
Competition Who Does It?
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19 2015 Teradata Questions & Answers {and dont forget to
download the complimentary white paper}
![Michael Franks - Michael Franks (Book)[1]](https://img.pdfslide.net/doc/110x75/5571f41c49795947648f070b/michael-franks-michael-franks-book1.jpg)
