Data Strategy Best Practices - Bastagroup · • Business Processes • Data Management Practices...

Data Strategy Best PracticesYour data strategy should be concise, actionable, and understandable by business and IT!

Copyright 2019 by Data Blueprint Slide # !1

Peter Aiken, Ph.D.

• DAMA International President 2009-2013 / 2018

• DAMA International Achievement Award 2001 (with Dr. E. F. "Ted" Codd

• DAMA International Community Award 2005


Peter Aiken, Ph.D.• 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) • 10 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 BILLINGSFOREWORD BY JOHN BOTTEGA

MONETIZINGDATA MANAGEMENT

Unlocking the Value in Your Organization’sMost Important Asset.

1Infogix Confidential Copyright 2018Infogix Confidential Copyright 2018

DataversityData Strategy Best Practices

January 8, 2019

2Infogix Confidential Copyright 2018

Matt Guschwan, Ph.D.

• Data Strategy Consultant

Intro

3Infogix Confidential Copyright 2018

• Portfolio Approach

• Central Office of Data• Startup and scale

• Investments into People, Process & Technology• Data connects P, P & T

ROI Mandate

D a t a S t r a t e g y B e s t P r a c t i c e s

4Infogix Confidential Copyright 2018Infogix Confidential Copyright 2018

Enjoy the Presentation!

Contact: Matt Guschwan [email protected]

Best Practices

!3Copyright 2019 by Data Blueprint Slide #

A best practice is a method or technique that has been generally accepted as superior to any alternatives because it: 1. produces results that are superior to

those achieved by other means or 2. because it has become a standard way

of doing things, e.g., a standard way of complying with legal or ethical requirements.


• 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 Best Practices

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’sDefinition 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”



Sup

ply

Line

Met

adat

a

(as

part

of a

div

ide

and

conq

uer s

trate

gy)

First Divide


Then Conquer


Complex Strategy• First

– Hit both armies hard at just the right spot

• Then

– Turn right and defeat the Prussians

• Then

– Turn left and defeat the British


While someone else is

shooting at y

ou!


• The highest level data guidance available to an organization, ...

• ... focusing data-related activities on articulated data goal achievements and ...

• ... providing directional but specific guidance when faced with a stream of decisions or uncertainties about organizational data assets and their application toward business objectives

Your Data Strategy

Strategy that winds up only on a shelf is not useful


Data

Strategy

Strategy provides context for the guidance


Managing Data with Guidance

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?



OrganizationalStrategy

Data Strategy

IT Projects

Organizational Operations

Data Governance

Data Strategy and Data Governance in ContextData

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 in Context



IT Strategy

Data Strategy


IT Strategy

Data Strategy

This is wrong!



IT Strategy

Data Strategy


IT Strategy

This is correct …


Data Strategy

Other recent data "strategies"• Big Data

• Data Science

• Analytics

• SAP

• Microsoft

• Google

• AWS

• ...








• Q&A


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• 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 Win!

Data Assets

Financial Assets

RealEstate Assets

Inventory Assets

Non-depletable

Available for subsequent

use

Can be used up

Can be used up

Non-degrading √ √ Can degrade

over timeCan degrade

over time

Durable Non-taxed √ √

Strategic Asset √ √ √ √

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

IT Projects

Organizational Operations

Data Governance

Data Strategy and Data Governance in ContextData

asset support for organizational

strategy



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


(Business Goals)

(Metadata)

Reasons for a Data Strategy


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

• Old model – Sell jet engines

• New model – Sell hours of thrust power – Power-by-the-hour – No payment for down time – Wing to wing – When was it invented?

What did Rolls Royce Learn


from Nascar?







• Q&A



Data Strategy

Data Strategy is Implemented in 2 Phases


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









CIOs aren't


Credit: Image credit: Matt Vickers

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


Change Management & Leadership


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








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 • Capability 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

Poorqualitydata

Hiring Panels Are Often Not Qualified to Help


The Enterprise Data Executive Takes One for the Team



Data Strategy









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












































Exorcising the Seven Deadly Data Sins

NotUnderstandingData-CentricThinking

LackingQualifiedDataLeadership

FailingtoImplementaProgrammaticWayto

ShareData

NotAligningtheDataProgramwithITProjects

FailingtoAdequatelyManageExpectations

NotSequencingDataStrategyImplementation

NotAddressingCulturalandChange

ManagementChallenges

1 2 3 4

5 6 7




ShareData






1 2 3 4

5 6 7NotUnderstandingData-

CentricThinkingLackingQualifiedData

LeadershipFailingtoImplementaProgrammaticWayto

ShareData






1 2 3 4




ShareData






1 2 3 4

5 6 7




ShareData






1 2 3 4

5 6 7




ShareData






1 2 3 4




ShareData






1 2 3 4

5 6 7

Introducing The Data Doctrine

Copyright 2019 by Data Blueprint Slide #!50

http://www.thedatadoctrine.com







• Q&A








• Q&A



Data StrategyData Strategy is Implemented in 2 Phases


1) Prepare for dramatic change and determined how to do the work



Phase II-Iterations (Lather, Rinse, Repeat)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

• 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


https://en.wikipedia.org/wiki/Theory_of_constraints

(TOC)

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 • Capability Targets • 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 • Capability Targets • Tactics • Data Strategy Vision

Strategic Data Imperatives

Business Needs

Existing Capabilities

ExecutionBusiness Value

New Capabilities

Upcoming EventsJanuary NYC Visit: Your Data Strategy January 17, 2019 @ 9:00 AM ET https://damany.starchapter.com/meet-reg1.php?id=102 (free for members $20 non-members)

February Webinar: Data Architecture versus Data Modeling February 12, 2019 @ 2:00 PM ET

March Webinar:Reference & Master Data Management - Unlocking Business ValueMarch 12, 2019 @ 2:00 PM ET Enterprise Data WorldHow I Learned to Stop Worrying & Love My Data WarehouseSunday, 3/17/2019 @ 1:30 PM ET Data Management Brain Drain Thursday, 3/21/2019 @ 8:30 AM ET

Sign up for webinars at: www.datablueprint.com/webinar-schedule or www.dataversity.net


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