DataEd Slides: Data Strategy – Plans Are Useless but Planning Is Invaluable

Data Strategy
Copyright 2020 by Data Blueprint Slide # 1Peter Aiken, PhD
Plans Are Useless but Planning is Invaluable

• DAMA International President 2009-2013 / 2018
• DAMA International Achievement Award 2001
(with Dr. E. F. "Ted" Codd
• DAMA International Community Award 2005
• I've been doing this a long time
• My work is recognized as useful
• Associate Professor of IS (vcu.edu)
• Founder, Data Blueprint (datablueprint.com)
• DAMA International (dama.org)
• CDO Society (iscdo.org)
• 11 books and dozens of articles
• Experienced w/ 500+ data
management practices worldwide
• Multi-year immersions
– US DoD (DISA/Army/Marines/DLA)
– Nokia
– Deutsche Bank
– Wells Fargo
– Walmart … PETER AIKEN WITH JUANITA BILLINGS
FOREWORD BY JOHN BOTTEGA
MONETIZING
DATA MANAGEMENT
Unlocking the Value in Your Organization’s
Most Important Asset.
2Copyright 2020 by Data Blueprint Slide #
Peter Aiken, Ph.D.

• In spite of increasing (big data/AI)
investments, % of firms
self-identifying as data-driven
is declining Source: Harvard Business Review, Feb 5, 2019 (Randy Bean and Thomas Davenport)
• Survey of industry leading, large corporations
• Firms must become much more serious and creative about
addressing the human side of data if they truly expect to derive
meaningful business benefits Source: 2018 Big Data & AI Executive Survey (NewVantage Partners)
Companies Are Failing In Their Efforts To Become Data Driven
30%
32%
34%
36%
38%
2017 2018 2019
31%
32.4%
37.1%
Forge a data culture
Created a data-driven organization
Treating data as a business asset
Competing on data and analytics
Identify people and process issues as the obstacle
0.00% 25.00% 50.00% 75.00% 100.00%
Yes No

2019 Experian survey of industry leading, large corporations
Have Big Data Projects underway
"Data undermines key initiatives"
Have under-invested in data quality
Take to long to get insight from data
Data enablement is 12 month key focus
Currently have mature data quality initiatives
0.00% 25.00% 50.00% 75.00% 100.00%
Yes No
Data Quality
Big Data Analytics
Data Governance
Data Literacy
Machine Learning
Artificial Intelligence
0% 25% 50% 75% 100%
Currently undertaking
Initiating within 12 months
On the radar
Not planned
Data analyst
Data engineer
Chief Data Officer
Data governance manager
Data quality analyst
Data scientist
Data steward
No specialized roles
0% 13% 25% 38% 50%
Have Big Data Projects underway
"Data undermines key initiatives"
Have under-invested in data quality
Take to long to get insight from data
Data enablement is 12 month key focus
Currently have mature data quality initiatives
Data Quality
Big Data Analytics
Data Governance
Data Literacy
Machine Learning
Artificial Intelligence

Data reports to Business
42%
Data reports to IT
58%
Enterprise-wide data efforts
31%
Manage data within Departments
69%
No data challenges
11%
Experience data challenges
89%
2019 Experian survey of industry
leading, large corporations
• Many are not yet addressing the
challenge correctly
– Repeating the same behavior has not
helped so far
• 70% of focus is at the department
level
– More leverage is available at the
enterprise level
• Unresolved reporting structure
– Leads to continued confusion and
inhibits the profession's maturity

A Musical Analogy
+ =
https://www.youtube.com/watch?v=4n1GT-VjjVs&frags=pl%2Cwn
Please raise your hand when you recognize this song

Copyright 2020 by Data Blueprint Slide #
Context
• Strategy
– Inherently a repetitive process that can be easily improved
• Dependency
– Data strategy exists to support organizational strategy
• Evolution
– At early maturity phases, the process is more important than the product!
• Output
– Plans are of limited value anyway and
always discount obstacles
• Technology
– People and process challenges are
95% of the problem
• Nirvana
– How do I get to Carnegie Hall?
– Practice Practice Practice
7

• A data strategy specifies how data assets are to be used
to support the organizational strategy
– What is strategy?
– What is a data strategy?
– How do they work together?
• A data strategy is necessary for effective data governance
– Improve your organization’s data
– Improve the way people use their data
– Improving how people use data to support their organizational strategy
• Effective Data Strategy Prerequisites
– Lack of organizational readiness
– Failure to compensate for the lack of data competencies
– Eliminating the barriers to leveraging data,
the seven deadly data sins
• Data Strategy Development Phase II–Iterations
– Lather, rinse, repeat
– A balanced approach is required
• Q&A
Data Strategy Plans Are Useless but Planning is Invaluable

What is a Strategy?
• Current use derived from military
• “a pattern in a stream of decisions” [Henry Mintzberg]

Former Walmart Business Strategy
Every Day
Low Price

Wayne Gretzky’s
Definition of Strategy
He skates to where he
thinks the puck will be ...

Strategy in Action: Napoleon defeats a larger enemy
• Question?
– How do I defeat the competition when their forces
are bigger than mine?
• Answer:
– Divide
and
conquer!
– “a pattern
in a stream
of decisions”

Supply Line Metadata
(as part of a divide and conquer strategy)

First Divide

Then Conquer

Complex Strategy
W
hile someone else is
shooting at you!
• First
– Hit both armies
hard at just the
right spot
• Then
– Turn right and
defeat the
Prussians
• Then
– Turn left and
defeat the
British

General Dwight D. Eisenhower
• “In preparing for battle I have always found that plans
are useless, but planning is indispensable …”
– https://quoteinvestigator.com/2017/11/18/planning/
• “In preparing for battle I have always found that plans
are useless, but planning is indispensable …”

Strategy that winds up only on a shelf is not useful
Data
Strategy

Mike Tyson Quote
“Everybody has a plan until they
get punched in the mouth.”
– https://www.sun-sentinel.com/sports/fl-xpm-2012-11-09-sfl-mike-tyson-explains-one-of-
his-most-famous-quotes-20121109-story.html

Strategy Guides Workgroup Activities
A pattern
in a stream
of decisions

Your Data Strategy
• Highest level data
guidance available ...
• Focusing data
activities on business-
goal achievement ...
• Providing guidance
when faced with a
stream of decisions or
uncertainties

What is Data Governance?
Managing
Data with
Guidance

Managing
Data Decisions
with
Guidance
What is Data Governance?

Managing Data with Guidance
• How should data be used and in which business processes?
• How is data shared among users, divisions, geographies and
partners?
• What processes and
procedures allow for
data to be changed?
• Who manages
approval processes?
• What processes
ensure compliance?
• Most importantly, in
what order should I
approach the above list?

Data Strategy and Data Governance in Context
Organizational
Strategy
Data Strategy
IT Projects
Organizational Operations
Data
Governance
Data
asset support for
organizational
strategy
What the
data assets do to
support strategy
How well the data
strategy is working
Operational
feedback
How data is
delivered by IT
How IT
supports strategy
Other
aspects of
organizational
strategy

Data Strategy and Governance in Strategic Context
Organizational
Strategy
Data Strategy Data Governance
Data asset
support for
organizational
strategy
What the data assets do
to support strategy
How well the data
strategy is working
(Business Goals)
(Metadata)
IT Projects
How data is
delivered by IT

Data Strategy in Context
Organizational
Strategy
IT Strategy
Data Strategy

Organizational
Strategy
IT Strategy
Data Strategy
This is wrong!
Organizational
Strategy
IT Strategy
Data Strategy

Organizational
Strategy
IT Strategy
This is correct …
Data Strategy

Other recent data "strategies"
• Big Data
• Data Science
• Analytics
• SAP
• Microsoft
• Google
• AWS
• ...

Organizational Assets
• Cash & other financial instruments
• Real property
• Inventory
• Intellectual Property
• Human
– Knowledge
– Skills
– Abilities
• Financial
• Organizational reputation
• Good will
• Brand name
• Data!!!

Separating the Wheat from the Chaff

Separating the Wheat from the Chaff
• Data that is better organized increases
in value
• Poor data management practices are costing
organizations money/time/effort
• 80% of organizational data is ROT
– Redundant
– Obsolete
– Trivial
Incomplete

Data
Assets
Financial
Assets
Real
Estate Assets
Inventory
Assets
Non-
depletable
Available for
subsequent
use
Can be
used up
Can be
used up
Non-
degrading √ √ Can degrade
over time
Can degrade
over time
Durable Non-taxed √ √
Strategic
Asset √ √ √ √
Data Assets Win!Data Assets Win!
• Today, data is the most powerful, yet underutilized and poorly
managed organizational asset
• Data is your
– Sole
– Non-depletable
– Non-degrading
– Durable
– Strategic
• Asset
– Data is the new oil!
– Data is the new (s)oil!
– Data is the new bacon!
• As such, data deserves:
– It's own strategy
– Attention on par with similar organizational assets
– Professional ministration to make up for past neglect
Asset: A resource controlled by the organization as a result of past events or
transactions and from which future economic benefits are expected to flow [Wikipedia]

Data Strategy and Data Governance in Context
Organizational
Strategy
Data Strategy
IT Projects
Organizational Operations
Data
Governance
Data
asset support for
organizational
strategy
What the
data assets do to
support strategy
How well the data
strategy is working
Operational
feedback
How data is
delivered by IT
How IT
supports strategy
Other
aspects of
organizational
strategy

Data Strategy & Data Governance
Data Strategy
Data
Governance
What the data
assets do to support
strategy
How well the data
strategy is working
(Business Goals)
(Metadata)

Data Strategy Motivation
Improve your
organization’s data
Improve the way your
people use its data
Improve the way your
data and your people
support your
organizational strategy
• Because data
points to where
valuable things are
located
• Because data has
intrinsic value by
itself
• Because data
has inherent
combinatorial value
• Valuing Data
– Use data to
measure change
– Use data to
manage change
– Use data to
motivate change
• Creating a
competitive
advantage with
data

What did Rolls Royce Learn
from Nascar?
• Old model
– Sell jet engines
• New model
– Sell hours of powered thrust
– “Power-by-the-hour”
– No payment for down time
– Wing to wing
– When was this new model invented?
https://www.youtube.com/watch?v=RRy_73ivcms

Data Strategy is Implemented in 2 Phases
Data Strategy
What the
data assets do to
support strategy
Phase I-Prerequisites
1) Prepare for dramatic change and determine how to do the work
2) Recruit a qualified, knowledgeable enterprise data executive (and
other qualified talent)
3) Eliminate the Seven Deadly Data Sins
Phase II-Iterations (Lather, Rinse, Repeat)

Data Strategy
What the
data assets do to
support strategy

Credit: Image credit: Matt Vickers

CIOs
aren't

Chief Data
Officer Combat
• Recasting the
executive team.
make full use of the
most valuable
assets

Change the status quo!
• Keep in mind that the appointment of a
CDO typically comes from a high-level
decision. In practice, it can trigger an
array of problematic reactions within
the organization including:
– Confusion,
– Uncertainty,
– Doubt,
– Resentment and
– Resistance.
• CDOs need to rise to the challenge of
changing the status quo if they expect to
lead the business in making data a
strategic asset.
– from What Chief Data Officers Need to Do to
Succeed by Mario Faria
https://www.forbes.com/sites/gartnergroup/2016/04/11/what-chief-data-officers-need-to-do-to-succeed/#734d53a8434a

Change Management & Leadership
Copyright 2020 by Data Blueprint Slide # 48

Diagnosing Organizational Readiness
adapted from the Managing Complex Change model by Dr. Mary Lippitt, 1987
Culture is the biggest impediment to a
shift in organizational thinking about data!

QR Code for PeterStudy
• Free Case Study Download
• Free Case Study Download
– http://dl.acm.org/citation.cfm?doid=2888577.2893482
or
http://tinyurl.com/PeterStudy
or scan the QR Code at the right

Data Strategy
What the
data assets do to
support strategy

Data Strategy Framework (Part 1)
• Benefits & Success Criteria
• Capability Targets
• Solution Architecture
• Organizational Development
Solution
• Organization Mission
• Strategy & Objectives
• Organizational Structures
• Performance Measures
Business Needs
• Organizational / Readiness
• Business Processes
• Data Management Practices
• Data Assets
• Technology Assets
Current State
• Business Value Targets
• Tactics
• Data Strategy Vision
Strategic Data Imperatives
Business
Needs
Existing
Capabilities
Execution

What do we teach knowledge workers about data?
What percentage of the deal with it daily?

What do we teach IT professionals about data?
• 1 course
– How to build a
new database
• What
impressions do IT
professionals get
from this
education?
– Data is a technical
skill that is needed
when developing
new databases
• If we are migrating databases, we are not creating new
databases and we don't need organizational data
management knowledge, skills, and abilities (KSAs).
• If we are implementing a new software package, we are
not creating a new database and therefore we do not
need data management KSAs.
• If we are installing an enterprise resource package
(ERP), we are not creating a new database and therefore
we do not need data management KSAs.

Put simply, organizations:
• Have little idea what data they have
• Do not know where it is (and)
• Do not know what their knowledge workers do with it

Bad Data Decisions Spiral
Bad data decisions
Technical deci-
sion makers are not
data knowledgable
Business decision
makers are not
data knowledgable
Poor organizational outcomes
Poor treatment of
organizational data
assets
Poor
quality
data

Hiring Panels Are Often Not Qualified to Help

The Enterprise Data Executive Takes One for the Team

Data Strategy
What the
data assets do to
support strategy

Exorcising the Seven Deadly Data Sins
Not Understanding Data-Centric Thinking
Lacking Qualified Data Leadership
Not implementing a Robust, Programmatic Means of
Developing Shared Data
Not Aligning The Data Program with IT Projects
Failing to Adequately Manage Expectations
Not Sequencing Data
Strategy Implementation
Failing To Address
Cultural And Change
Management Challenges
Not Sequencing Data
Failing To Address
Cultural And Change
Not Sequencing Data
Failing To Address
Cultural And Change
Not Sequencing Data
Failing To Address
Cultural And Change
Not Sequencing Data
Failing To Address
Cultural And Change
Not Sequencing Data
Failing To Address
Cultural And Change
Not Sequencing Data
Failing To Address
Cultural And Change
ing to Implement a
grammatic Way to
Share Data
Not Aligning the Data
Program with IT Projects
ata
ation
Not Addressing Cultural
and Change
3 4
7
Not Understanding Data-
Centric Thinking
Lacking Qualified Data
Leadership
Failing to Implement a
Programmatic Way to
Share Data
Failing to Adequately
Manage Expectations
Not Sequencing Data
and Change
1 2 3 4
5 6 7
Data-
g
Leadership
Programmatic Way to
Share Data
ling to Adequately
anage Expectations
Not Sequencing Data
and Change
2 3 4
5 6 7Data Failing to Implement a
Programmatic Way to
Share Data
t Sequencing Data
tegy Implementation
and Change
3 4
6 7
ent a
y to
Addressing Cultural
and Change
agement Challenges
4
7
Understanding Data-
Centric Thinking
Leadership
Programmatic Way to
Share Data
Failing to Adequately
Manage Expectations
Not Sequencing Data
and Change
1 2 3 4
5 6 7
king Qualified Data
Leadership
Programmatic Way to
Share Data
ely
ons
Not Sequencing Data
and Change
2 3 4
6 7

Introducing The Data Doctrine
http://www.thedatadoctrine.com

Data Strategy
1) Prepare for dramatic change and determined how to do the work
2) Recruit a qualified, knowledgeable enterprise data executive
(and other qualified talent)
You
are
here
1) Identify the primary constraint keeping data from fully supporting strategy
2) Exploit organizational efforts to remove this constraint
3) Subordinate everything else to this exploitation decision
4) Elevate the data constraint
5) Repeat the above steps to address the new constraint

The Goal

https://en.wikipedia.org/wiki/Theory_of_constraints
(TOC)
• A management paradigm that views any
manageable system as being limited in
achieving more of its goals by a small
number of constraints(Eliyahu M. Goldratt)
• There is always at least one constraint, and
TOC uses a focusing process to identify the
constraint and restructure the rest of the
organization to address it
• TOC adopts the common idiom "a chain
is no stronger than its weakest link,"
processes, organizations, etc., are
vulnerable because the weakest
component can damage or break them or
at least adversely affect the outcome

Theory of Constraints - Generic
Identify the current constraints,
the components of the system
limiting goal realization
Make quick
improvements
to the constraint
using existing
resources
Review other activities in the process facilitate proper alignment and support of constraint
If the constraint
persists, identify other
actions to eliminate
the constraint
Repeat until the
constraint is
eliminated
Alleviate

Theory of Constraints at work
improving your data
In your analysis of how
organization data can best
support organizational strategy
one thing is blocking you most -
identify it!
Try to fix it
rapidly with out
restructuring
(correct it
operationally)
Improve existing data evolution activities to ensure singular focus on the current objective
Restructure to
address constraint
Repeat until data
better supports
strategy
Alleviate

Data Strategy Framework (Part 2)
• Benefits & Success Criteria
• Solution Architecture
• Organizational Development
Solution
• Leadership & Planning
• Project Dev. & Execution
• Cultural Readiness
Road Map
• Organization Mission
• Strategy & Objectives
• Organizational Structures
• Performance Measures
Business Needs
• Organizational / Readiness
• Business Processes
• Data Management Practices
• Data Assets
• Technology Assets
Current State
• Business Value Targets
• Tactics
• Data Strategy Vision
Strategic Data Imperatives
Business
Needs
Existing
Capabilities
ExecutionBusiness
Value
New
Capabilities

Strategic Context
• Strategy
– Inherently a repetitive process that can be easily improved
• Dependency
– Data strategy exists to support organizational strategy
• Evolution
– At early maturity phases, the process is more important than the product!
• Output
– Plans are of limited value anyway and
always discount obstacles
• Technology
– People and process challenges are
95% of the problem
• Nirvana
– How do I get to Carnegie Hall?
– Practice Practice Practice
70

Data Strategy Plans Are Useless but Planning is Invaluable
• A data strategy specifies how data assets are to be used
to support the organizational strategy
– What is strategy?
– What is a data strategy?
– How do they work together?
• A data strategy is necessary for effective data governance
– Improve your organization’s data
– Improve the way people use their data
– Improving how people use data to support their organizational strategy
• Effective Data Strategy Prerequisites
– Lack of organizational readiness
– Failure to compensate for the lack of data competencies
– Eliminating the barriers to leveraging data,
the seven deadly data sins
• Data Strategy Development Phase II–Iterations
– Lather, rinse, repeat
– A balanced approach is required
• Q&A

Upcoming Events
February Webinar:
Data Architecture vs Data Modeling: Contrast and Compare
Tuesday, February 11, 2020 @ 2:00 PM ET/11:00 AM PT (UTC-5)
March Webinar:
Unlock Business Value using Reference and
Master Data Management Strategies
Tuesday, March 10, 2020 @ 2:00 PM ET/11:00 AM PT (UTC-6)
Enterprise Data World
Developing Data Proficiencies to Improve Workforce Performance
Sunday, 3/23/2020 @ 1:30 PM PT
April Webinar:
Leveraging Data Management Technologies
Tuesday, April 14, 2020 @ 2:00 PM ET/11:00 AM PT (UTC-5)
Sign up for webinars at:
www.datablueprint.com/webinar-schedule
or
www.dataversity.net
Brought to you by:

+ =
Questions?
It’s your turn!
Use the chat feature or
Twitter (#dataed) to submit
your questions now!

10124 W. Broad Street, Suite C
Glen Allen, Virginia 23060
804.521.4056
74

DataEd Slides: Data Strategy – Plans Are Useless but Planning Is Invaluable

Empfohlen

Empfohlen

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Ähnlich wie DataEd Slides: Data Strategy – Plans Are Useless but Planning Is Invaluable

Ähnlich wie DataEd Slides: Data Strategy – Plans Are Useless but Planning Is Invaluable (20)

Mehr von DATAVERSITY

Mehr von DATAVERSITY (20)

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

DataEd Slides: Data Strategy – Plans Are Useless but Planning Is Invaluable