FL2021.T81.INFO.575.01 Week 1 - Intro, Big Data, Data Management and Data Ethics
August 31, 2021
Overview of T81-575
Welcome to Enterprise Data Strategy
• Introduction
• Background across Data disciplines
• Data Strategy Supporting
Organizational Strategy
• What makes having a data strategy
critical now more than ever
• Intro to Data Strategy needs
• Elements of Strategy
• Data Governance and with Data
Strategy
Why do we need data strategy?
And now, the
technologies in play
are too numerous to
track….
The story of data value
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The world’s most
valuable resource is
no longer oil, but data
Building a “Data
Driven Culture”
within a company
Making sure data is treated
as a first class citizen and
used by everyone to
accomplish their goals
https://www.qubole.com/wp-content/uploads/2015/06/810x430-data-driven-culture.jpg
Crafting a Data-Driven Organization feeds on the bedrock of strategy
Crafting a Data-Driven Organization
Without data you’re just another person with an opinion.
- William Edwards Demming
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culture
challenges
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exponentially
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dated
ever changing
acts
quality
insightful
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Big Data brought
us into the era of
‘collect everything’
Hundreds of new storage
and analytics platforms
outpaced our ability to
govern and understand
what data we collected
https://www.forbes.com/sites/kalevleetaru/2019/01/09/how-do-we-define-bigdata-and-just-what-counts-as-a-big-data-analysis/?sh=62ddacea1b66
Drivers and Big Data Explained
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Drivers and Big Data Explained
Overview of Big Data – Business growth and ways to collect data hit logarithmic growth
Overview of Big Data, Why is Big Data so important?
Big Data-Driven Organizations, Why is data-driven decision making hard?
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Big Data-Driven Organizations, Why companies succeed and others fail.
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Overview of Big Data, there are several risks associated with data collection too
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What made data get SO big and varied??? USE CASE: Internet of Things (IoT)
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Internet of Things (IoT)
Smart Meter Site
And now we
need to create
value from what’s
been collected
We’ve moved into the era
of ‘Collect and Connect’ on
a global scale with security
and compliance risks at
every turn
Data as an Asset – treat data as a precious resource rather than “exhaust”
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https://fsd.servicemax.com/uk/wp-content/uploads/sites/5/2020/04/asset360solar.png
Failing to recognize data value and using it wisely has shown dire
consequences to organizations
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Data collection,
although necessary,
carries ethical
implications, and can
lead to poor decision
making if not managed
or understood
Data Governance is critical to ensure data is treated and managed as an asset.
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Concepts we will routinely
discuss for forming
effective strategies
There’s no cookbook for exactly
how to create a great strategy, but
there are critical variables that
every great strategy has evaluated
‘Data for the sake of Data’ was valid in the early 2000’s, but now data strategies
have to provide clear and crisp impacts to both use and protection
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Introduction to Enterprise Data Strategy and Management – Essential Concepts
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Introduction to Enterprise Data Strategy and Management – Essential Concepts
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There are quite a few ‘Frameworks’ for data strategy and management, and each can be
useful for understanding how different areas connect and impact each other
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Data Handling Ethics
Data Handling Ethics
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Data Handling Ethics Context Diagram
Data Handling Ethics – Essential Concepts
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Data Handling Ethics – Essential Concepts
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Data Handling Ethics – Summary
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Data Handling: the role of Master Data Management and Metadata
Multi-Domain Master Data Management and Metadata Management
Metadata and Master
data allow greater
visibility into what
you’ve collected,
both to improve
responsible use and
remove risk.
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Data catalog maintains record of locations
Compliance reviews leverage catalog
Data consumption benefits from metadata and
master data definitions to improve context and
learning
Infractions carry a
heavy toll!
Multi-Domain Master Data Management
MDM is an option to start
reversing the trend
Week 1: The Importance of Aligning
Data Strategy to Organizational Strategy
Appendix
DMBOK Pyramid (Aiken)
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DAMA Data Management Framework “Evolved”
Data Handling Ethics – concerns and ideas
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Data Handling Ethics – Essential Concepts
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