SlideShare a Scribd company logo
1 of 63
Download to read offline
Copyright Global Data Strategy, Ltd. 2023
Building a Data Strategy:
Practical Steps for Aligning with Business Goals
Donna Burbank
Global Data Strategy, Ltd.
February 23, 2023
Unlocking Trapped Value with Data
The meeting place for companies, technologies and data
Dan Eline, Senior Director of Platform Planning & Solutions
Artificial
Intelligence
Autonomous
Vehicles
Custom Manufacturing
and 3D Printing
Internet of Things and
Connected Devices
Robots &
Drones
Social Media &
Platforms
Dig Data
Analytics and
Cloud
Source: World Economic Forum, with Accenture, “Digital Transformation Initiative”
7 Technologies
2
© 2022 Digital Realty Trust® Inc.
Source: Seagate, “The Digitization of the World – From Edge to Core”; Digital Realty Market Intelligence, Data Gravity Index 1.5
4ZB
2010 2015 2020 2025
0
20
40
60
80
100
120
140
160
180
200
58ZB
18ZB
175ZB
CAGR = 535%
Zetabytes
Data is
Growing
3
© 2022 Digital Realty Trust® Inc.
13
Questions
7,295
Participants
23
Countries
9
Industries
$100M - $1B+
Company Size by Revenue
Source: Global Data Insights Survey, 2022 Report, Digital Realty 2022; Digital Realty Market Intelligence
End User
Data Priorities
4
© 2022 Digital Realty Trust® Inc.
Data-First
Strategy
Wins
76%
plan to use data
to improve
customer
experience and
build new digital
products
Data
Distribution is
Increasing
72%
plan to add new
business
locations in the
next two years
Data
is
Localizing
78%
maintain local
copies of
customer data
for business and
compliance
purposes
Data
Latency
Matters
77%
identified data
latency specific
performance
requirements
Data Needs
Global
Meeting Place
84%
need global
coverage and
secure data
exchange from
a single DC
provider
Source: Global Data Insights Survey, 2022 Report, Digital Realty 2022; Digital Realty Market Intelligence
Key
Takeaways
5
© 2022 Digital Realty Trust® Inc.
CENTERS
OF DATA
MULTI-TENANT
DATA CENTERS
Public Private Shared
Cloud & IT
Providers
Enterprises
Connectivity
Providers
Telemetry Via
Data Gravity
Index
Source: Digital Realty Market Intelligence, Data Gravity Index 1.5
6
© 2022 Digital Realty Trust® Inc.
USE CASES
ADD NEW
MARKETS
EVOLVE
ON-RAMPS
CLOUD & CONTENT PROVIDERs
REWIRE THE
NETWORK
OPTIMIZE DATA
EXCHANGE
ENTERPRISES & HYBRID IT PROVIDERS
IMPLEMENT
HYBRID
CONTROLS
CONNECTIVITY PROVIDERS
APPLICATIONS, PLATFORMS & CAPACITY
IN THE CLOUD
USERS, DEVICES, THINGS
AT THE EDGE
CONNECTED DATA COMMUNITIES
CENTERS
OF DATA
MULTI-TENANT
DATA CENTERS
The Meeting Place
BUILD HYBRID
NETWORK
OFFERINGS
ADD NEW
MANAGED
SERVICES
ADD
POINTS OF
PRESENCE
BUILD
HYBRID
OFFERINGS
Source: Digital Realty Market Intelligence, Data Gravity Index 1.5
7
© 2022 Digital Realty Trust® Inc.
Thank you
Resources
• Explore PlatformDIGITAL
• Visit the Data Gravity Insights Hub
• Download the Global Data Insights Survey
§ Presenter Name
§ 15/09/22
Confidential. © 2023 Monte Carlo Data, Inc.
Unlocking the Power of Your Data
Data Observability
Shane Murray
February
23rd,
2023
Confidential. © 2023 Monte Carlo Data, Inc. 2
Shane Murray
Field CTO @ Monte Carlo (2022-)
SVP Data & Insights @ The New York Times (2013-2021)
$236m in funding by backers of the world’s best enterprise companies,
including Accel, GGV, Redpoint, ICONIQ, and IVP
Creator of the Data Observability category
Confidential. © 2023 Monte Carlo Data, Inc.
Why is data downtime a problem?
3
Canʼt know when
data is bad or who
to ask for help
Canʼt predict
all the ways
data will break
Canʼt see
downstream
Data producers
(source systems)
Data platform
(warehouses, lakes)
Data consumers
(BI tools, data products)
Confidential. © 2023 Monte Carlo Data, Inc.
How we started:
Manual tests were the only means to ensuring data quality
4
90%
10%
Typical
distribution of
data incidents
Testing Detected by downstream data consumers
Common tests
■ Column must have 0% nulls
■ Transaction price must be >$0
■ …and other predictable anomalies
Why testing falls short
■ Canʼt test what you canʼt predict
■ Canʼt see downstream
■ Direct queries become costly
■ Data and stack are constantly changing
■ Doesnʼt scale
Confidential. © 2023 Monte Carlo Data, Inc.
Consequences of data downtime range from trivial to existential
5
~70
high severity events each year per
every 1k tables 1
30-50%
data engineering time
spent on fire drills 2
12-27%
avg. annual revenue lost for
companies resulting from
poor data quality 3
1. Benchmark data based on Monte Carlo customer production deployments
2. Monte Carlo market research and customer-reported benchmarks
3. Experian Data Quality; MC research via Wakefield Research Survey
Confidential. © 2023 Monte Carlo Data, Inc.
Data downtime looks similar at all companies
6
■ Is this data up-to-date?
■ Why does this data size look off?
■ Isnʼt this value suspiciously high?
■ Why are there so many nulls?
■ Why do we have duplicate IDs?
■ What reports will I break with this schema update?
■ Why are there 0s on tiles that usually show 100s?
…
DATA
OBSERVABILITY
PILLARS
Freshness
Volume
Schema
Quality
Lineage
Confidential. © 2023 Monte Carlo Data, Inc.
What is Data Observability?
7
Prevent
■ Auto-generated and on-demand
insights
■ Schema change notifications
■ Automated circuit breakers
Detect
■ ML-powered anomaly detection
■ Rule-based detection
■ Targeted alerts to impacted owners
& downstream users
Resolve
■ Automated field-level lineage
■ Impact radius assessment
■ Code, data, and operational
diagnostics
DATA OBSERVABILITY PILLARS
Freshness | Volume | Quality | Schema | Lineage
Confidential. © 2023 Monte Carlo Data, Inc.
Observability equips your team with automated monitoring
across 100% of production tables and critical fields
Freshness, volume & schema monitoring
on all production tables
1
Data warehouse,
lake, or lakehouse
Data quality monitoring
for critical fields
% null, median, p20-p80, and 20+ metrics
2
Custom rules & tests
for critical tables & fields
3
Powered
by
ML
8
Confidential. © 2023 Monte Carlo Data, Inc.
Automated table- & field-level lineage
Triage, find root cause, and manage incident workflows
9
Triage incidents
Find root cause
Manage workflows
Confidential. © 2023 Monte Carlo Data, Inc. 10
https://www.montecarlodata.com/oreilly-data-quality-fundamentals-early-release/
OʼReillyʼs
Data Quality
Fundamentals
Learn what it takes to build more reliable
data pipelines at scale.
Confidential. © 2023 Monte Carlo Data, Inc.
Thank you
smurray@montecarlodata.com
11
Global Data Strategy, Ltd. 2023
Donna Burbank
2
Donna is a recognised industry expert in data
management with over 25 years of
experience in data strategy, data governance,
data modeling, metadata management, and
enterprise architecture. Her background is
multi-faceted across consulting, product
development, product management, brand
strategy, marketing, and business leadership.
She is currently the Managing Director at
Global Data Strategy, Ltd., an international
data management consulting company that
specializes in the alignment of business
drivers with data-centric technology.
In past roles, she has served in key brand
strategy and product management roles at CA
Technologies and Embarcadero Technologies
for several of the leading data management
products in the market.
As an active contributor to the data
management community, she is a long time
DAMA International member, Past President
and Advisor to the DAMA Rocky Mountain
chapter, and was awarded the Excellence in
Data Management Award from DAMA
International.
She has worked with dozens of Fortune 500
companies worldwide in the Americas,
Europe, Asia, and Africa and speaks regularly
at industry conferences. She has co-authored
several books and is a regular contributor to
industry publications. She can be reached at
donna.burbank@globaldatastrategy.com
Donna is based in Boulder, Colorado, US.
Global Data Strategy, Ltd. 2023
DATAVERSITY Data Architecture Strategies
• January Emerging Trends in Data Architecture – What’s the Next Big Thing?
• February Building a Data Strategy - Practical Steps for Aligning with Business Goals
• March Data Mesh or Data Mess? Separating the Reality from the Hype
• April Master Data Management - Aligning Data, Process, and Governance
• May How do Data Governance & Data Architecture Support Each Other?
• June Why You Need Data Management – Getting Executive Buy-In
• July Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation
• August Data Quality Best Practices (with Nigel Turner)
• September Best Practices in Metadata Management
• October Designing Data for Business Intelligence & Analytics – Where the Star Schema Fits in a
Modern Data Architecture
• December Enterprise Architecture vs. Data Architecture
3
This Year’s Lineup
Global Data Strategy, Ltd. 2023
What We’ll Cover Today
• Developing a Data Strategy for your organization can seem
like a daunting task – but it’s worth the effort.
• Getting your Data Strategy right can provide significant
value, as data drives many of the key initiatives in today’s
marketplace, from digital transformation to marketing,
customer centricity, population health, and more.
• This webinar will help demystify Data Strategy and its
relationship to Data Architecture and will provide concrete,
practical ways to get started.
4
Global Data Strategy, Ltd. 2023
The Rise of the Data-Driven Business
Data, more than ever, is seen as a key business asset and strategic differentiator.
5
Global Data Strategy, Ltd. 2023
The Role of the Data Professional
in the Data-Driven Business
• In the current environment of data-driven business, Data Professionals have an
opportunity to have a “seat at the table”
• Finding new opportunities to leverage data for business benefit
• Creating efficiencies & business process optimization
• Integrating data from disparate sources for new business insights
• Supporting organizational change
6
Global Data Strategy, Ltd. 2023
What is a Data Strategy?
7
Strategy:
1. the art of devising or employing plans
or stratagems toward a goal
2. an adaptation or complex of adaptations (as
of behavior, metabolism, or structure) that
serves or appears to serve an important
function in achieving evolutionary success
3. the science and art of military command
exercised to meet the enemy in combat under
advantageous conditions
Strategy vs. Management
- Source Merriam Webster
Management:
1. judicious use of means to accomplish an end
2. the act or art of managing : the conducting or
supervising of something (such as a business)
- Source Merriam Webster
Global Data Strategy, Ltd. 2023
But What is “It”, Really?
• Many people are overwhelmed with the concept of building a Data Strategy – it can seem like a
massive and overarching task.
• On a very tactical level, many wonder what format it should be in – Word Document, PowerPoint
presentation, Interpretive Dance? ☺
• While many formats can be effective, a visual presentation often has the most impact. Key
sections of the strategy should include:
• Business Alignment – case for change and value proposition
• Current State Analysis
• Future State Recommendations
• Roadmap and Next Steps
• Projected ROI and Benefit
8
Global Data Strategy, Ltd. 2023
Data is Driving the Future of the Global Economy
• “For most of the history of business,
the world’s leading companies have
been industrially-focused…
• …But today’s business reality is very
different. We live in a world of bytes –
and for the first time technology and
commerce have collided in a way that
makes data far more valuable than
physical, tangible objects.
• The best place to see this is in how the
market values businesses.” 1
9
Product
Focus
Data
Focus
The World Economic Forum sees today’s economy as driven by Data, not Goods & Services
1 Oct 15, 2018, World Economic Forum, “These are the 8 major forces shaping the future of the global economy”
Global Data Strategy, Ltd. 2023
Business Optimization vs. Business Transformation
10
Digital Transformation is transforming business
Business Optimization
Becoming a Data-Driven Company
• Improving Efficiency
• Reduce Redundancy
• Eliminate Manual Effort
• Growing Revenue
• Improved Marketing Campaigns
• Data-driven Product Development
• Etc.
Business Transformation
Becoming a Data Company
• New Business Models
• Data is the product
• Monetization of information
• Digital Transformation
• New Business Models
• Data is the Business
• Etc.
How do we do what we do
better?
How do we do something
different?
Global Data Strategy, Ltd. 2023
Business & Data Strategy – the Interdependency
11
Data
Strategy
Informs & Guides
Informs & Guides
Business
Strategy
Global Data Strategy, Ltd. 2023
A Successful Data Strategy links Business Goals with Technology Solutions
Level 1
“Top-Down” alignment with
business priorities
Level 5
“Bottom-Up” management &
inventory of data sources
Level 2
Managing the people, process,
policies & culture around data
Level 4
Coordinating & integrating
disparate data sources
Level 3
Leveraging data for strategic
advantage
Aligning Business Strategy with Data Strategy
Global Data Strategy, Ltd. 2023
“Offense” vs. “Defense”
• Focused on Creating Opportunity
• Improving Profitability
• Increasing Revenue
• Improving Customer Satisfaction
• Competitive Advantage
13
Which style of data strategy fits your organization?
Offense Defense
• Focused on Reducing Risk
• Compliance & Regulation
• Avoiding Audits or Fines
• Fraud Detection
• Security & Privacy
On which end of the spectrum is your organization?
Global Data Strategy, Ltd. 2023
Look for Business Value “Levers”
• Identify areas that will derive the highest business value by
addressing.
• Is this supporting the new marketing campaign for a high visibility
product launch?
• Or are you “re-arranging the deck chairs on the Titanic” – i.e.
focusing valuable time and effort no low-value activities
• As with any areas of the business that have value, it is helpful to
build a model or architectural design around the key areas of
business value.
Identify “Quick Wins”
Load
Effort
Fulcrum
Identify areas where data can be the fulcrum.
Global Data Strategy, Ltd. 2023
Making the Business Case
15
While Business Cases and ROI Calculations can be complex, they generally fall into 4 categories:
• Wasted Labor costs due to
manual efforts
(Data cleansing, manual integration,
etc.)
• Inefficient business processes
for data management
(Product Master Data process)
• Data quality cost avoidance
(Wasted mailings sent to wrong
address)
Decreasing Costs
• Price Optimization through
Analytics
• Improved Marketing Campaigns
through Quality Customer Data
• Data-Driven Recommendation
Engines to enhance the sales
cycle.
• Better Grant writing through
data-driven needs analysis
• Industry regulations
(GDPR, HIPAA, BCBS 239, Spice,
HIPAA, etc.)
• Product Traceability
(Food lineage from farm/catch)
• Litigation due to Data Breach
• Health and Safety Audit
• Customer Satisfaction
• Brand Trust
• Social Media Voice of Consumer
• Loyalty & ‘Stickiness’
Increasing Revenue Reducing Risk Protecting Reputation
Global Data Strategy, Ltd. 2023
Include the Risk of Doing Nothing
16
• There is significant cost and risk in the status
quo
• Doing nothing often has a higher cost than
investing in data management.
• Make sure to include the “do nothing”
option in your analysis.
Global Data Strategy, Ltd. 2023
Data Strategy Relies on Data Architecture & Governance
17
A successful Data Strategy
relies heavily on Data
Architecture and Data
Governance
Based on research from a 2020 DATAVERSITY survey on “Trends in Data Management” by Donna Burbank and Michelle Knight
Global Data Strategy, Ltd. 2023
Tools &
Platforms
Applying a Structured Data Governance Framework
Vision & Strategy
Organization &
People
Processes &
Workflows
Data Management
& Measures
Culture & Communication
Copyright Global Data Strategy, Ltd. 2022
A structured Data Governance Framework helps align business and IT for long-term success.
Global Data Strategy, Ltd. 2023
Mapping Organizational Capability
• Organizational Capability, Organizational Structure, and Roles are key to any Data Strategy
19
Aligning to Organizational Capabilities
e.g. From Plan to Production to Sales & Distribution
Designing Org Structures for Data-Centric Efforts
e.g. Aligning Data Governance to Individual Culture
Global Data Strategy, Ltd. 2023
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00%
XML
Media files (videos, photos, etc.)
Non-relational cloud-based database (document, key/value etc.)
JSON
Legacy systems (e.g. Mainframe, COBOL, etc.)
Cloud object storage (including cloud data lakes)
Packaged applications (e.g. ERP, CRM, etc.)
Relational cloud-based database
Spreadsheets
Relational on-premises database
Data Architecture: Top 10 Data Platforms & Sources - 2022
20
Which of the Following Data Sources or Platforms are you Using Today?
(Select all that apply)
Global Data Strategy, Ltd. 2023
Data Architecture: Top 10 Data Platforms & Sources – 2023-24
21
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00%
Graph database
JSON
Real-time/streaming database
Non-relational cloud-based database (document, key/value…
Spreadsheets
Don’t know
Packaged applications (e.g. ERP, CRM, etc.)
Relational on-premises database
Cloud object storage (including cloud data lakes)
Relational cloud-based database
Which of the Following Data Sources or Platforms are you planning on using in the next 1-2 years?
(Select all that apply)
Global Data Strategy, Ltd. 2023
Building Trusted Data Sets
• Successfully building trusted data sets
requires a full range of data management
disciplines
What does it take to build Trusted Data Sets?
Trusted
Data
Data Architecture
Data Quality
Privacy &
Security
Metadata
Management
Data
Governance
Trusted Data
Global Data Strategy, Ltd. 2023
The Critical Role of Data Architecture & Governance
23
A high-level data architecture provides the roadmap for data strategy & associated governance.
Business data model
What data do we prioritize? Where is this data used?
Business process models
Where is this data stored?
Data architecture diagram
What rules apply to this data?
Business rules & policy
What is the quality of the data?
Data quality dashboard
Business Glossary
This architecture provides a guide for small, targeted projects for business value to add additional detail.
What data best
supports our Brokers?
What data best supports
our Customers?
What data can we use to
best Price our Policies?
Home Auto
Commercial
What external data can we use
for business advantage?
Global Data Strategy, Ltd. 2023
Building Blocks to an Effective Roadmap
24
Why? Who?
How? What?
When?
What are the key business drivers?
Think both “Offense” & “Defense”
Who are the key stakeholders who will benefit?
Who are the Data Stewards who can be
“discovered” in the organization?
How will you organize the Data Governance team(s)?
What Data Architecture will you put into place?
What data needs to be managed?
Is this structured or unstructured?
Real-time or batch?
In which platforms or systems?
When will you roll this out?
What is the timing and cadence or actions and
deliverables?
Are there other key initiatives it’s important to align
with?
Global Data Strategy, Ltd. 2023
Why: Aligning with the Organizational Vision
• Key to any Data Strategy and Roadmap is aligning with
the organization’s vision.
• Ways to find out more about the organization’s
direction:
• Annual Report
• Company Updates
• Team and Project Updates
• News releases
• Project plans
• Particularly for planning a roadmap, it is important to
understand the company’s plans & trajectory
• Is the organization cautious or aggressive in its future
state?
• Are there events that you should align your strategy
around? e.g. Product Launch, Corporate Audit, School
Semester start, etc.
Global Data Strategy, Ltd. 2023
Tell the Story – Explain Vision and the Journey to Get There
26
• Storytelling and vision-building is a key part to any
strategy.
• Build a sense of excitement
• Provide a vision for what the future will look like
• Show the journey and the effort required
• Explain the steps to achieve the journey
• Clarify everyone’s role in the journey – where do they fit,
and what skills do they need?
Global Data Strategy, Ltd. 2023
Assess Organizational Maturity
Global Data Strategy’s Data Management Maturity Assessment
• Perform a realistic maturity assessment of the
organization’s data management capabilities:
• Current state by discipline
• Future Goals
• Gaps that need to be filled
Global Data Strategy, Ltd. 2023
Find Your “Quick Wins”
28
• It’s important to show early value
for the Data Strategy effort
• … and continue to deliver
iterative value over time.
Global Data Strategy, Ltd. 2023
What is a “Quick Win” Project?
29
Quick Win Project: A “Quick Win” Project is a project that shows early value while at the same
time building towards a long term goal. A successful “quick win”:
• Aligns with business objectives and solves a high-value business problem or
• Creates a proof of concept for a high-value business opportunity.
• Sets a solid foundation for future efforts
• Acts as a “light bulb moment” for key stakeholders to understand the value of data-centric activities.
Global Data Strategy, Ltd. 2023
A “Quick Win” is Not a “Quick Fix”
30
A Quick Win is not a sloppy, “quick fix” that
will not scale for future use.
A Quick Win is well-planned first step to
build a strong foundation for future efforts.
NO YES
Global Data Strategy, Ltd. 2023
Setting Priorities: Priority Grid
High Benefits – Low Difficulty
Low Benefits – High Difficulty
High Benefits – High Difficulty
Low Benefits – Low Difficulty
Level of Difficulty
Benefits
31
Priorities based on Benefits vs. Level of Difficulty can often be easily determined via a workshop
activity using a Priority Grid.
Global Data Strategy, Ltd. 2023
A Roadmap is Not a Laundry List
• A common error is to create a roadmap that reads like
a “Laundry List” of activities
• Create “themes” for each stage that tie into the vision
• Call-out “quick wins” and value for each activity
• Consider the WIIFM – what do key stakeholders care about?
32
Global Data Strategy, Ltd. 2023
Implementation Roadmap
• Define your roadmap with key activities timed to align with key business initiatives.
• Align with necessary staffing and training.
33
Define Roadmap & Staffing for Executing the Strategy
Implementation Roadmap for Key Activities by Functional Area
Staffing & Training Recommendations
Global Data Strategy, Ltd. 2023
‘ Culture eats
strategy for
breakfast.’
Peter Drucker,
Management
Strategist &
Consultant
34
Global Data Strategy, Ltd. 2023
Organizational Culture and Organizational Change Management
Organizational Culture:
“Organizational culture is the personality of the
organization”. 1
35
1 https://managementhelp.org/organizations/culture.htm
This Photo by Unknown Author is licensed under CC BY
This Photo by Unknown Author is licensed under CC BY-NC
Organizational Change Management:
Organizational change refers to the actions
in which a company or business alters a
major component of its organization, such
as its culture, the underlying technologies or
infrastructure it uses to operate, or its
internal processes.
Organizational change management is the
method of leveraging change to bring about
a successful resolution. - Harvard Business School
Global Data Strategy, Ltd. 2023
REINFORCEMENT
The Change Journey
Emotions play a key role underpinning each phase
AWARENESS MOTIVATION KNOWLEDGE
This is new!
Other people are excited
about it – maybe it can
help me, too.
This is new!
This is interesting – I’m
starting to understand how
it can help me.
This is new!
I’m seeing the value of
this over time – how did I
ever work without this?
COMMUNICATION ! COMMUNICATION! COMMUNICATION! COMMUNICATION!
• Alignment with
Business Value
• Vision & Roadmap
• Etc.
• WIIFM
• Testimonials
• Swag, slogans,
• Etc.
• Launch Awareness
• Trainings
• Coaching
• Certifications
• Etc.
• Ongoing
Communication Plan
• ROI & Value over time
• Success Stories
• Etc.
This is new!
This is new! Should I be
concerned?
36
Global Data Strategy, Ltd. 2023
Organizational Change Happens at Three Levels
An organizational move to a future state requires individuals to reach their own future state
INDIVIDUAL
ORGANIZATION
PROJECT
Enable people’s success by
supporting them through the
dimensions of change
Increase outcomes and ROI by
integrating activities into the
project plan that help prepare,
manage, and reinforce change
and results in adoption and
usage
Affect culture changes in the
enterprise by embedding
Change Management into
every Data Governance
initiative
“IN WHAT WAYS ARE MY
CURRENT RESPONSIBILITIES
AFFECTED”?
“The achievements of an organization are the results
of the combined effort of each individual”.
Vince Lombardi
“HOW DO WE SUCCESSFULLY
ACHIEVE LARGE SCALE
TRANSFORMATION”?
“WHO ARE THE IMPACTED
GROUPS AND HOW DO WE
SUPPORT THEM”?
Reference PROSCI for
methodology content
Data
Governance
directly impacts
the culture of
an organization
37
Global Data Strategy, Ltd. 2023
Garnering Excitement - Engage Marketing & Branding
• It’s beneficial to engage with your internal Marketing organization and/or an external agency
• Include a number of activities and materials in your communication and marketing plan. Here are
a few ideas:
38
• Video Testimonial from users/stakeholders
• Executive sponsor video
• Lunch and learn sessions
• Roadshows
• Training sessions
• Newsletters
• Website for data initiative
• Data initiative slogan
• “Swag” – t-shirts, stickers, mugs, etc.
• Posters
• Badges and awards
Avoid Data Jargon – use
Business Language!
Global Data Strategy, Ltd. 2023
Resistance Management: Causes for and Approaches to
Addressing resistance management
• Resistance prevention
• Change management applied early – at
the onset of every project
• Proactive resistance management
• Anticipation and early identification of
likely resistance so it can be addressed and
eliminated upfront
• Reactive resistance management
• Applying a set of tactics when resistance
becomes enduring and persistent
What looks like resistance is often a lack of direction
Typical Root Causes
Employees: Lack of awareness if why the
changes are happening and “WIIFM”. Comfort
with the status quo and fear of the unknown.
Executives: Disconnected with their strategy,
financial objectives or compensation
Middle Management: Lack of awareness, loss
of authority or control, and overload of current
responsibilities
39
Global Data Strategy, Ltd. 2023
Parting Thought – Culture Change in Your Organization
What do you think is the biggest
fear of change that you’ll face?
40
What would be the biggest
excitement/opportunity driver?
Global Data Strategy, Ltd. 2023
Summary
• Aligning Data Strategy with business drivers &
goals is key to success
• Orchestrate the people, process, technology, &
culture required through a robust Data
Governance program.
• Define a right-sized Data Architecture to manage
technological change
• Your roadmap should tell a story and show an
evolution from the current state.
• Define “quick wins” as well as long-term value
• Culture building and organizational change are
critical to success
Global Data Strategy, Ltd. 2023
DATAVERSITY Data Architecture Strategies
• January Emerging Trends in Data Architecture – What’s the Next Big Thing?
• February Building a Data Strategy - Practical Steps for Aligning with Business Goals
• March Data Mesh or Data Mess? Separating the Reality from the Hype
• April Master Data Management - Aligning Data, Process, and Governance
• May How do Data Governance & Data Architecture Support Each Other?
• June Why You Need Data Management – Getting Executive Buy-In
• July Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation
• August Data Quality Best Practices (with Nigel Turner)
• September Best Practices in Metadata Management
• October Designing Data for Business Intelligence & Analytics – Where the Star Schema Fits in a
Modern Data Architecture
• December Enterprise Architecture vs. Data Architecture
42
Join Us Next Month
Global Data Strategy, Ltd. 2023
Who We Are: Business-Focused Data Strategy
Maximize the Organizational Value of Your Data Investment
In today’s business environment, showing rapid time to value for
any technical investment is critical.
But technology and data can be complex. At Global Data Strategy,
we help demystify technical complexity to help you:
• Demonstrate the ROI and business value of data to your
management
• Build a data strategy at your pace to match your unique culture
and organizational style.
• Create an actionable roadmap for “quick wins”, which building
towards a long-term scalable architecture.
Global Data Strategy’s shares experience from some of the largest
international organizations scaled to the pace of your unique team.
www.globaldatastrategy.com
Global Data Strategy has worked with organizations globally in the
following industries:
Finance · Retail · Social Services · Health Care · Education · Manufacturing
· Government · Public Utilities · Construction · Media & Entertainment ·
Insurance …. and more
Global Data Strategy, Ltd. 2021 www.globaldatastrategy.com
Questions?
Thoughts? Ideas?
44

More Related Content

What's hot

Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
 
Data strategy demistifying data
Data strategy demistifying dataData strategy demistifying data
Data strategy demistifying dataHans Verstraeten
 
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogDATAVERSITY
 
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
 
BI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyBI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
Introduction to Data Governance
Introduction to Data GovernanceIntroduction to Data Governance
Introduction to Data GovernanceJohn Bao Vuu
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
 
Developing a Data Strategy
Developing a Data StrategyDeveloping a Data Strategy
Developing a Data StrategyMartha Horler
 
Data Governance Workshop
Data Governance WorkshopData Governance Workshop
Data Governance WorkshopCCG
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data LiteracyDATAVERSITY
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
 
data-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptxdata-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptxMohamedHendawy17
 
How to Implement Data Governance Best Practice
How to Implement Data Governance Best PracticeHow to Implement Data Governance Best Practice
How to Implement Data Governance Best PracticeDATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for YouDATAVERSITY
 

What's hot (20)

Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
 
Data strategy demistifying data
Data strategy demistifying dataData strategy demistifying data
Data strategy demistifying data
 
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog
 
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
 
BI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyBI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and Strategy
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
Introduction to Data Governance
Introduction to Data GovernanceIntroduction to Data Governance
Introduction to Data Governance
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected Approach
 
Developing a Data Strategy
Developing a Data StrategyDeveloping a Data Strategy
Developing a Data Strategy
 
Data Governance Workshop
Data Governance WorkshopData Governance Workshop
Data Governance Workshop
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data Literacy
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
 
data-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptxdata-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptx
 
How to Implement Data Governance Best Practice
How to Implement Data Governance Best PracticeHow to Implement Data Governance Best Practice
How to Implement Data Governance Best Practice
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for You
 

Similar to Building a Data Strategy – Practical Steps for Aligning with Business Goals

DAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the Same
DAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the SameDAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the Same
DAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the SameDATAVERSITY
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise AnalyticsDATAVERSITY
 
DAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from RealityDAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from RealityDATAVERSITY
 
Data Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & ApproachesData Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing
Emerging Trends in Data Architecture – What’s the Next Big ThingEmerging Trends in Data Architecture – What’s the Next Big Thing
Emerging Trends in Data Architecture – What’s the Next Big ThingDATAVERSITY
 
DAS Slides: Best Practices in Metadata Management
DAS Slides: Best Practices in Metadata ManagementDAS Slides: Best Practices in Metadata Management
DAS Slides: Best Practices in Metadata ManagementDATAVERSITY
 
DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?DATAVERSITY
 
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
 
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDATAVERSITY
 
DataEd Slides: Approaching Data Management Technologies
DataEd Slides:  Approaching Data Management TechnologiesDataEd Slides:  Approaching Data Management Technologies
DataEd Slides: Approaching Data Management TechnologiesDATAVERSITY
 
Optimize supply chains using machine learning superpowers webinar deck
Optimize supply chains using machine learning superpowers webinar deckOptimize supply chains using machine learning superpowers webinar deck
Optimize supply chains using machine learning superpowers webinar deckTamrMarketing
 
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...DATAVERSITY
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
 
Deliveinrg explainable AI
Deliveinrg explainable AIDeliveinrg explainable AI
Deliveinrg explainable AIGary Allemann
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...
A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...
A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...ValueMomentum
 
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...DATAVERSITY
 
Data2030 Summit MEA: Data Chaos to Data Culture March 2023
Data2030 Summit MEA: Data Chaos to Data Culture March 2023Data2030 Summit MEA: Data Chaos to Data Culture March 2023
Data2030 Summit MEA: Data Chaos to Data Culture March 2023Matt Turner
 
Foundational Strategies for Trust in Big Data Part 3: Data Lineage
Foundational Strategies for Trust in Big Data Part 3: Data LineageFoundational Strategies for Trust in Big Data Part 3: Data Lineage
Foundational Strategies for Trust in Big Data Part 3: Data LineagePrecisely
 
Modernizing Integration with Data Virtualization
Modernizing Integration with Data VirtualizationModernizing Integration with Data Virtualization
Modernizing Integration with Data VirtualizationDenodo
 

Similar to Building a Data Strategy – Practical Steps for Aligning with Business Goals (20)

DAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the Same
DAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the SameDAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the Same
DAS Slides: Cloud-Based Data Warehousing – What’s New and What Stays the Same
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
 
DAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from RealityDAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from Reality
 
Data Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & ApproachesData Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & Approaches
 
Emerging Trends in Data Architecture – What’s the Next Big Thing
Emerging Trends in Data Architecture – What’s the Next Big ThingEmerging Trends in Data Architecture – What’s the Next Big Thing
Emerging Trends in Data Architecture – What’s the Next Big Thing
 
DAS Slides: Best Practices in Metadata Management
DAS Slides: Best Practices in Metadata ManagementDAS Slides: Best Practices in Metadata Management
DAS Slides: Best Practices in Metadata Management
 
DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?
DAS Slides: Emerging Trends in Data Architecture — What’s the Next Big Thing?
 
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?
 
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & RisksDAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
DAS Slides: Self-Service Reporting and Data Prep – Benefits & Risks
 
DataEd Slides: Approaching Data Management Technologies
DataEd Slides:  Approaching Data Management TechnologiesDataEd Slides:  Approaching Data Management Technologies
DataEd Slides: Approaching Data Management Technologies
 
Optimize supply chains using machine learning superpowers webinar deck
Optimize supply chains using machine learning superpowers webinar deckOptimize supply chains using machine learning superpowers webinar deck
Optimize supply chains using machine learning superpowers webinar deck
 
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
Data Architecture Strategies Webinar: Emerging Trends in Data Architecture – ...
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
 
Deliveinrg explainable AI
Deliveinrg explainable AIDeliveinrg explainable AI
Deliveinrg explainable AI
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...
A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...
A P/C Insurance Data Modernization Journey Featuring Pekin Insurance, ValueMo...
 
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...
 
Data2030 Summit MEA: Data Chaos to Data Culture March 2023
Data2030 Summit MEA: Data Chaos to Data Culture March 2023Data2030 Summit MEA: Data Chaos to Data Culture March 2023
Data2030 Summit MEA: Data Chaos to Data Culture March 2023
 
Foundational Strategies for Trust in Big Data Part 3: Data Lineage
Foundational Strategies for Trust in Big Data Part 3: Data LineageFoundational Strategies for Trust in Big Data Part 3: Data Lineage
Foundational Strategies for Trust in Big Data Part 3: Data Lineage
 
Modernizing Integration with Data Virtualization
Modernizing Integration with Data VirtualizationModernizing Integration with Data Virtualization
Modernizing Integration with Data Virtualization
 

More from DATAVERSITY

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling FundamentalsDATAVERSITY
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectDATAVERSITY
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?DATAVERSITY
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best PracticesDATAVERSITY
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?DATAVERSITY
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best PracticesDATAVERSITY
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
 
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...DATAVERSITY
 
Empowering the Data Driven Business with Modern Business Intelligence
Empowering the Data Driven Business with Modern Business IntelligenceEmpowering the Data Driven Business with Modern Business Intelligence
Empowering the Data Driven Business with Modern Business IntelligenceDATAVERSITY
 
Data Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and RoadmapsData Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
 
Including All Your Mission-Critical Data in Modern Apps and Analytics
Including All Your Mission-Critical Data in Modern Apps and AnalyticsIncluding All Your Mission-Critical Data in Modern Apps and Analytics
Including All Your Mission-Critical Data in Modern Apps and AnalyticsDATAVERSITY
 
Assessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-ModelAssessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-ModelDATAVERSITY
 
What’s in Your Data Warehouse?
What’s in Your Data Warehouse?What’s in Your Data Warehouse?
What’s in Your Data Warehouse?DATAVERSITY
 
Achieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data ManagementAchieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data ManagementDATAVERSITY
 

More from DATAVERSITY (20)

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and Governance
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling Fundamentals
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best Practices
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best Practices
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
 
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
 
Empowering the Data Driven Business with Modern Business Intelligence
Empowering the Data Driven Business with Modern Business IntelligenceEmpowering the Data Driven Business with Modern Business Intelligence
Empowering the Data Driven Business with Modern Business Intelligence
 
Data Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and RoadmapsData Governance Best Practices, Assessments, and Roadmaps
Data Governance Best Practices, Assessments, and Roadmaps
 
Including All Your Mission-Critical Data in Modern Apps and Analytics
Including All Your Mission-Critical Data in Modern Apps and AnalyticsIncluding All Your Mission-Critical Data in Modern Apps and Analytics
Including All Your Mission-Critical Data in Modern Apps and Analytics
 
Assessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-ModelAssessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-Model
 
What’s in Your Data Warehouse?
What’s in Your Data Warehouse?What’s in Your Data Warehouse?
What’s in Your Data Warehouse?
 
Achieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data ManagementAchieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data Management
 

Recently uploaded

Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataTecnoIncentive
 
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptxThe Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptxTasha Penwell
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024Susanna-Assunta Sansone
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Seán Kennedy
 
Decoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis ProjectDecoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis ProjectBoston Institute of Analytics
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBoston Institute of Analytics
 
INTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingINTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingsocarem879
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Boston Institute of Analytics
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxHaritikaChhatwal1
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksdeepakthakur548787
 
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhThiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhYasamin16
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 

Recently uploaded (20)

Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded data
 
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptxThe Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...
 
Decoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis ProjectDecoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis Project
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
 
INTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingINTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processing
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Data Analysis Project: Stroke Prediction
Data Analysis Project: Stroke PredictionData Analysis Project: Stroke Prediction
Data Analysis Project: Stroke Prediction
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptx
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing works
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhThiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 

Building a Data Strategy – Practical Steps for Aligning with Business Goals

  • 1. Copyright Global Data Strategy, Ltd. 2023 Building a Data Strategy: Practical Steps for Aligning with Business Goals Donna Burbank Global Data Strategy, Ltd. February 23, 2023
  • 2. Unlocking Trapped Value with Data The meeting place for companies, technologies and data Dan Eline, Senior Director of Platform Planning & Solutions
  • 3. Artificial Intelligence Autonomous Vehicles Custom Manufacturing and 3D Printing Internet of Things and Connected Devices Robots & Drones Social Media & Platforms Dig Data Analytics and Cloud Source: World Economic Forum, with Accenture, “Digital Transformation Initiative” 7 Technologies 2 © 2022 Digital Realty Trust® Inc.
  • 4. Source: Seagate, “The Digitization of the World – From Edge to Core”; Digital Realty Market Intelligence, Data Gravity Index 1.5 4ZB 2010 2015 2020 2025 0 20 40 60 80 100 120 140 160 180 200 58ZB 18ZB 175ZB CAGR = 535% Zetabytes Data is Growing 3 © 2022 Digital Realty Trust® Inc.
  • 5. 13 Questions 7,295 Participants 23 Countries 9 Industries $100M - $1B+ Company Size by Revenue Source: Global Data Insights Survey, 2022 Report, Digital Realty 2022; Digital Realty Market Intelligence End User Data Priorities 4 © 2022 Digital Realty Trust® Inc.
  • 6. Data-First Strategy Wins 76% plan to use data to improve customer experience and build new digital products Data Distribution is Increasing 72% plan to add new business locations in the next two years Data is Localizing 78% maintain local copies of customer data for business and compliance purposes Data Latency Matters 77% identified data latency specific performance requirements Data Needs Global Meeting Place 84% need global coverage and secure data exchange from a single DC provider Source: Global Data Insights Survey, 2022 Report, Digital Realty 2022; Digital Realty Market Intelligence Key Takeaways 5 © 2022 Digital Realty Trust® Inc.
  • 7. CENTERS OF DATA MULTI-TENANT DATA CENTERS Public Private Shared Cloud & IT Providers Enterprises Connectivity Providers Telemetry Via Data Gravity Index Source: Digital Realty Market Intelligence, Data Gravity Index 1.5 6 © 2022 Digital Realty Trust® Inc.
  • 8. USE CASES ADD NEW MARKETS EVOLVE ON-RAMPS CLOUD & CONTENT PROVIDERs REWIRE THE NETWORK OPTIMIZE DATA EXCHANGE ENTERPRISES & HYBRID IT PROVIDERS IMPLEMENT HYBRID CONTROLS CONNECTIVITY PROVIDERS APPLICATIONS, PLATFORMS & CAPACITY IN THE CLOUD USERS, DEVICES, THINGS AT THE EDGE CONNECTED DATA COMMUNITIES CENTERS OF DATA MULTI-TENANT DATA CENTERS The Meeting Place BUILD HYBRID NETWORK OFFERINGS ADD NEW MANAGED SERVICES ADD POINTS OF PRESENCE BUILD HYBRID OFFERINGS Source: Digital Realty Market Intelligence, Data Gravity Index 1.5 7 © 2022 Digital Realty Trust® Inc.
  • 9. Thank you Resources • Explore PlatformDIGITAL • Visit the Data Gravity Insights Hub • Download the Global Data Insights Survey § Presenter Name § 15/09/22
  • 10. Confidential. © 2023 Monte Carlo Data, Inc. Unlocking the Power of Your Data Data Observability Shane Murray February 23rd, 2023
  • 11. Confidential. © 2023 Monte Carlo Data, Inc. 2 Shane Murray Field CTO @ Monte Carlo (2022-) SVP Data & Insights @ The New York Times (2013-2021) $236m in funding by backers of the world’s best enterprise companies, including Accel, GGV, Redpoint, ICONIQ, and IVP Creator of the Data Observability category
  • 12. Confidential. © 2023 Monte Carlo Data, Inc. Why is data downtime a problem? 3 Canʼt know when data is bad or who to ask for help Canʼt predict all the ways data will break Canʼt see downstream Data producers (source systems) Data platform (warehouses, lakes) Data consumers (BI tools, data products)
  • 13. Confidential. © 2023 Monte Carlo Data, Inc. How we started: Manual tests were the only means to ensuring data quality 4 90% 10% Typical distribution of data incidents Testing Detected by downstream data consumers Common tests ■ Column must have 0% nulls ■ Transaction price must be >$0 ■ …and other predictable anomalies Why testing falls short ■ Canʼt test what you canʼt predict ■ Canʼt see downstream ■ Direct queries become costly ■ Data and stack are constantly changing ■ Doesnʼt scale
  • 14. Confidential. © 2023 Monte Carlo Data, Inc. Consequences of data downtime range from trivial to existential 5 ~70 high severity events each year per every 1k tables 1 30-50% data engineering time spent on fire drills 2 12-27% avg. annual revenue lost for companies resulting from poor data quality 3 1. Benchmark data based on Monte Carlo customer production deployments 2. Monte Carlo market research and customer-reported benchmarks 3. Experian Data Quality; MC research via Wakefield Research Survey
  • 15. Confidential. © 2023 Monte Carlo Data, Inc. Data downtime looks similar at all companies 6 ■ Is this data up-to-date? ■ Why does this data size look off? ■ Isnʼt this value suspiciously high? ■ Why are there so many nulls? ■ Why do we have duplicate IDs? ■ What reports will I break with this schema update? ■ Why are there 0s on tiles that usually show 100s? … DATA OBSERVABILITY PILLARS Freshness Volume Schema Quality Lineage
  • 16. Confidential. © 2023 Monte Carlo Data, Inc. What is Data Observability? 7 Prevent ■ Auto-generated and on-demand insights ■ Schema change notifications ■ Automated circuit breakers Detect ■ ML-powered anomaly detection ■ Rule-based detection ■ Targeted alerts to impacted owners & downstream users Resolve ■ Automated field-level lineage ■ Impact radius assessment ■ Code, data, and operational diagnostics DATA OBSERVABILITY PILLARS Freshness | Volume | Quality | Schema | Lineage
  • 17. Confidential. © 2023 Monte Carlo Data, Inc. Observability equips your team with automated monitoring across 100% of production tables and critical fields Freshness, volume & schema monitoring on all production tables 1 Data warehouse, lake, or lakehouse Data quality monitoring for critical fields % null, median, p20-p80, and 20+ metrics 2 Custom rules & tests for critical tables & fields 3 Powered by ML 8
  • 18. Confidential. © 2023 Monte Carlo Data, Inc. Automated table- & field-level lineage Triage, find root cause, and manage incident workflows 9 Triage incidents Find root cause Manage workflows
  • 19. Confidential. © 2023 Monte Carlo Data, Inc. 10 https://www.montecarlodata.com/oreilly-data-quality-fundamentals-early-release/ OʼReillyʼs Data Quality Fundamentals Learn what it takes to build more reliable data pipelines at scale.
  • 20. Confidential. © 2023 Monte Carlo Data, Inc. Thank you smurray@montecarlodata.com 11
  • 21. Global Data Strategy, Ltd. 2023 Donna Burbank 2 Donna is a recognised industry expert in data management with over 25 years of experience in data strategy, data governance, data modeling, metadata management, and enterprise architecture. Her background is multi-faceted across consulting, product development, product management, brand strategy, marketing, and business leadership. She is currently the Managing Director at Global Data Strategy, Ltd., an international data management consulting company that specializes in the alignment of business drivers with data-centric technology. In past roles, she has served in key brand strategy and product management roles at CA Technologies and Embarcadero Technologies for several of the leading data management products in the market. As an active contributor to the data management community, she is a long time DAMA International member, Past President and Advisor to the DAMA Rocky Mountain chapter, and was awarded the Excellence in Data Management Award from DAMA International. She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences. She has co-authored several books and is a regular contributor to industry publications. She can be reached at donna.burbank@globaldatastrategy.com Donna is based in Boulder, Colorado, US.
  • 22. Global Data Strategy, Ltd. 2023 DATAVERSITY Data Architecture Strategies • January Emerging Trends in Data Architecture – What’s the Next Big Thing? • February Building a Data Strategy - Practical Steps for Aligning with Business Goals • March Data Mesh or Data Mess? Separating the Reality from the Hype • April Master Data Management - Aligning Data, Process, and Governance • May How do Data Governance & Data Architecture Support Each Other? • June Why You Need Data Management – Getting Executive Buy-In • July Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation • August Data Quality Best Practices (with Nigel Turner) • September Best Practices in Metadata Management • October Designing Data for Business Intelligence & Analytics – Where the Star Schema Fits in a Modern Data Architecture • December Enterprise Architecture vs. Data Architecture 3 This Year’s Lineup
  • 23. Global Data Strategy, Ltd. 2023 What We’ll Cover Today • Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. • Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. • This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started. 4
  • 24. Global Data Strategy, Ltd. 2023 The Rise of the Data-Driven Business Data, more than ever, is seen as a key business asset and strategic differentiator. 5
  • 25. Global Data Strategy, Ltd. 2023 The Role of the Data Professional in the Data-Driven Business • In the current environment of data-driven business, Data Professionals have an opportunity to have a “seat at the table” • Finding new opportunities to leverage data for business benefit • Creating efficiencies & business process optimization • Integrating data from disparate sources for new business insights • Supporting organizational change 6
  • 26. Global Data Strategy, Ltd. 2023 What is a Data Strategy? 7 Strategy: 1. the art of devising or employing plans or stratagems toward a goal 2. an adaptation or complex of adaptations (as of behavior, metabolism, or structure) that serves or appears to serve an important function in achieving evolutionary success 3. the science and art of military command exercised to meet the enemy in combat under advantageous conditions Strategy vs. Management - Source Merriam Webster Management: 1. judicious use of means to accomplish an end 2. the act or art of managing : the conducting or supervising of something (such as a business) - Source Merriam Webster
  • 27. Global Data Strategy, Ltd. 2023 But What is “It”, Really? • Many people are overwhelmed with the concept of building a Data Strategy – it can seem like a massive and overarching task. • On a very tactical level, many wonder what format it should be in – Word Document, PowerPoint presentation, Interpretive Dance? ☺ • While many formats can be effective, a visual presentation often has the most impact. Key sections of the strategy should include: • Business Alignment – case for change and value proposition • Current State Analysis • Future State Recommendations • Roadmap and Next Steps • Projected ROI and Benefit 8
  • 28. Global Data Strategy, Ltd. 2023 Data is Driving the Future of the Global Economy • “For most of the history of business, the world’s leading companies have been industrially-focused… • …But today’s business reality is very different. We live in a world of bytes – and for the first time technology and commerce have collided in a way that makes data far more valuable than physical, tangible objects. • The best place to see this is in how the market values businesses.” 1 9 Product Focus Data Focus The World Economic Forum sees today’s economy as driven by Data, not Goods & Services 1 Oct 15, 2018, World Economic Forum, “These are the 8 major forces shaping the future of the global economy”
  • 29. Global Data Strategy, Ltd. 2023 Business Optimization vs. Business Transformation 10 Digital Transformation is transforming business Business Optimization Becoming a Data-Driven Company • Improving Efficiency • Reduce Redundancy • Eliminate Manual Effort • Growing Revenue • Improved Marketing Campaigns • Data-driven Product Development • Etc. Business Transformation Becoming a Data Company • New Business Models • Data is the product • Monetization of information • Digital Transformation • New Business Models • Data is the Business • Etc. How do we do what we do better? How do we do something different?
  • 30. Global Data Strategy, Ltd. 2023 Business & Data Strategy – the Interdependency 11 Data Strategy Informs & Guides Informs & Guides Business Strategy
  • 31. Global Data Strategy, Ltd. 2023 A Successful Data Strategy links Business Goals with Technology Solutions Level 1 “Top-Down” alignment with business priorities Level 5 “Bottom-Up” management & inventory of data sources Level 2 Managing the people, process, policies & culture around data Level 4 Coordinating & integrating disparate data sources Level 3 Leveraging data for strategic advantage Aligning Business Strategy with Data Strategy
  • 32. Global Data Strategy, Ltd. 2023 “Offense” vs. “Defense” • Focused on Creating Opportunity • Improving Profitability • Increasing Revenue • Improving Customer Satisfaction • Competitive Advantage 13 Which style of data strategy fits your organization? Offense Defense • Focused on Reducing Risk • Compliance & Regulation • Avoiding Audits or Fines • Fraud Detection • Security & Privacy On which end of the spectrum is your organization?
  • 33. Global Data Strategy, Ltd. 2023 Look for Business Value “Levers” • Identify areas that will derive the highest business value by addressing. • Is this supporting the new marketing campaign for a high visibility product launch? • Or are you “re-arranging the deck chairs on the Titanic” – i.e. focusing valuable time and effort no low-value activities • As with any areas of the business that have value, it is helpful to build a model or architectural design around the key areas of business value. Identify “Quick Wins” Load Effort Fulcrum Identify areas where data can be the fulcrum.
  • 34. Global Data Strategy, Ltd. 2023 Making the Business Case 15 While Business Cases and ROI Calculations can be complex, they generally fall into 4 categories: • Wasted Labor costs due to manual efforts (Data cleansing, manual integration, etc.) • Inefficient business processes for data management (Product Master Data process) • Data quality cost avoidance (Wasted mailings sent to wrong address) Decreasing Costs • Price Optimization through Analytics • Improved Marketing Campaigns through Quality Customer Data • Data-Driven Recommendation Engines to enhance the sales cycle. • Better Grant writing through data-driven needs analysis • Industry regulations (GDPR, HIPAA, BCBS 239, Spice, HIPAA, etc.) • Product Traceability (Food lineage from farm/catch) • Litigation due to Data Breach • Health and Safety Audit • Customer Satisfaction • Brand Trust • Social Media Voice of Consumer • Loyalty & ‘Stickiness’ Increasing Revenue Reducing Risk Protecting Reputation
  • 35. Global Data Strategy, Ltd. 2023 Include the Risk of Doing Nothing 16 • There is significant cost and risk in the status quo • Doing nothing often has a higher cost than investing in data management. • Make sure to include the “do nothing” option in your analysis.
  • 36. Global Data Strategy, Ltd. 2023 Data Strategy Relies on Data Architecture & Governance 17 A successful Data Strategy relies heavily on Data Architecture and Data Governance Based on research from a 2020 DATAVERSITY survey on “Trends in Data Management” by Donna Burbank and Michelle Knight
  • 37. Global Data Strategy, Ltd. 2023 Tools & Platforms Applying a Structured Data Governance Framework Vision & Strategy Organization & People Processes & Workflows Data Management & Measures Culture & Communication Copyright Global Data Strategy, Ltd. 2022 A structured Data Governance Framework helps align business and IT for long-term success.
  • 38. Global Data Strategy, Ltd. 2023 Mapping Organizational Capability • Organizational Capability, Organizational Structure, and Roles are key to any Data Strategy 19 Aligning to Organizational Capabilities e.g. From Plan to Production to Sales & Distribution Designing Org Structures for Data-Centric Efforts e.g. Aligning Data Governance to Individual Culture
  • 39. Global Data Strategy, Ltd. 2023 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% XML Media files (videos, photos, etc.) Non-relational cloud-based database (document, key/value etc.) JSON Legacy systems (e.g. Mainframe, COBOL, etc.) Cloud object storage (including cloud data lakes) Packaged applications (e.g. ERP, CRM, etc.) Relational cloud-based database Spreadsheets Relational on-premises database Data Architecture: Top 10 Data Platforms & Sources - 2022 20 Which of the Following Data Sources or Platforms are you Using Today? (Select all that apply)
  • 40. Global Data Strategy, Ltd. 2023 Data Architecture: Top 10 Data Platforms & Sources – 2023-24 21 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% Graph database JSON Real-time/streaming database Non-relational cloud-based database (document, key/value… Spreadsheets Don’t know Packaged applications (e.g. ERP, CRM, etc.) Relational on-premises database Cloud object storage (including cloud data lakes) Relational cloud-based database Which of the Following Data Sources or Platforms are you planning on using in the next 1-2 years? (Select all that apply)
  • 41. Global Data Strategy, Ltd. 2023 Building Trusted Data Sets • Successfully building trusted data sets requires a full range of data management disciplines What does it take to build Trusted Data Sets? Trusted Data Data Architecture Data Quality Privacy & Security Metadata Management Data Governance Trusted Data
  • 42. Global Data Strategy, Ltd. 2023 The Critical Role of Data Architecture & Governance 23 A high-level data architecture provides the roadmap for data strategy & associated governance. Business data model What data do we prioritize? Where is this data used? Business process models Where is this data stored? Data architecture diagram What rules apply to this data? Business rules & policy What is the quality of the data? Data quality dashboard Business Glossary This architecture provides a guide for small, targeted projects for business value to add additional detail. What data best supports our Brokers? What data best supports our Customers? What data can we use to best Price our Policies? Home Auto Commercial What external data can we use for business advantage?
  • 43. Global Data Strategy, Ltd. 2023 Building Blocks to an Effective Roadmap 24 Why? Who? How? What? When? What are the key business drivers? Think both “Offense” & “Defense” Who are the key stakeholders who will benefit? Who are the Data Stewards who can be “discovered” in the organization? How will you organize the Data Governance team(s)? What Data Architecture will you put into place? What data needs to be managed? Is this structured or unstructured? Real-time or batch? In which platforms or systems? When will you roll this out? What is the timing and cadence or actions and deliverables? Are there other key initiatives it’s important to align with?
  • 44. Global Data Strategy, Ltd. 2023 Why: Aligning with the Organizational Vision • Key to any Data Strategy and Roadmap is aligning with the organization’s vision. • Ways to find out more about the organization’s direction: • Annual Report • Company Updates • Team and Project Updates • News releases • Project plans • Particularly for planning a roadmap, it is important to understand the company’s plans & trajectory • Is the organization cautious or aggressive in its future state? • Are there events that you should align your strategy around? e.g. Product Launch, Corporate Audit, School Semester start, etc.
  • 45. Global Data Strategy, Ltd. 2023 Tell the Story – Explain Vision and the Journey to Get There 26 • Storytelling and vision-building is a key part to any strategy. • Build a sense of excitement • Provide a vision for what the future will look like • Show the journey and the effort required • Explain the steps to achieve the journey • Clarify everyone’s role in the journey – where do they fit, and what skills do they need?
  • 46. Global Data Strategy, Ltd. 2023 Assess Organizational Maturity Global Data Strategy’s Data Management Maturity Assessment • Perform a realistic maturity assessment of the organization’s data management capabilities: • Current state by discipline • Future Goals • Gaps that need to be filled
  • 47. Global Data Strategy, Ltd. 2023 Find Your “Quick Wins” 28 • It’s important to show early value for the Data Strategy effort • … and continue to deliver iterative value over time.
  • 48. Global Data Strategy, Ltd. 2023 What is a “Quick Win” Project? 29 Quick Win Project: A “Quick Win” Project is a project that shows early value while at the same time building towards a long term goal. A successful “quick win”: • Aligns with business objectives and solves a high-value business problem or • Creates a proof of concept for a high-value business opportunity. • Sets a solid foundation for future efforts • Acts as a “light bulb moment” for key stakeholders to understand the value of data-centric activities.
  • 49. Global Data Strategy, Ltd. 2023 A “Quick Win” is Not a “Quick Fix” 30 A Quick Win is not a sloppy, “quick fix” that will not scale for future use. A Quick Win is well-planned first step to build a strong foundation for future efforts. NO YES
  • 50. Global Data Strategy, Ltd. 2023 Setting Priorities: Priority Grid High Benefits – Low Difficulty Low Benefits – High Difficulty High Benefits – High Difficulty Low Benefits – Low Difficulty Level of Difficulty Benefits 31 Priorities based on Benefits vs. Level of Difficulty can often be easily determined via a workshop activity using a Priority Grid.
  • 51. Global Data Strategy, Ltd. 2023 A Roadmap is Not a Laundry List • A common error is to create a roadmap that reads like a “Laundry List” of activities • Create “themes” for each stage that tie into the vision • Call-out “quick wins” and value for each activity • Consider the WIIFM – what do key stakeholders care about? 32
  • 52. Global Data Strategy, Ltd. 2023 Implementation Roadmap • Define your roadmap with key activities timed to align with key business initiatives. • Align with necessary staffing and training. 33 Define Roadmap & Staffing for Executing the Strategy Implementation Roadmap for Key Activities by Functional Area Staffing & Training Recommendations
  • 53. Global Data Strategy, Ltd. 2023 ‘ Culture eats strategy for breakfast.’ Peter Drucker, Management Strategist & Consultant 34
  • 54. Global Data Strategy, Ltd. 2023 Organizational Culture and Organizational Change Management Organizational Culture: “Organizational culture is the personality of the organization”. 1 35 1 https://managementhelp.org/organizations/culture.htm This Photo by Unknown Author is licensed under CC BY This Photo by Unknown Author is licensed under CC BY-NC Organizational Change Management: Organizational change refers to the actions in which a company or business alters a major component of its organization, such as its culture, the underlying technologies or infrastructure it uses to operate, or its internal processes. Organizational change management is the method of leveraging change to bring about a successful resolution. - Harvard Business School
  • 55. Global Data Strategy, Ltd. 2023 REINFORCEMENT The Change Journey Emotions play a key role underpinning each phase AWARENESS MOTIVATION KNOWLEDGE This is new! Other people are excited about it – maybe it can help me, too. This is new! This is interesting – I’m starting to understand how it can help me. This is new! I’m seeing the value of this over time – how did I ever work without this? COMMUNICATION ! COMMUNICATION! COMMUNICATION! COMMUNICATION! • Alignment with Business Value • Vision & Roadmap • Etc. • WIIFM • Testimonials • Swag, slogans, • Etc. • Launch Awareness • Trainings • Coaching • Certifications • Etc. • Ongoing Communication Plan • ROI & Value over time • Success Stories • Etc. This is new! This is new! Should I be concerned? 36
  • 56. Global Data Strategy, Ltd. 2023 Organizational Change Happens at Three Levels An organizational move to a future state requires individuals to reach their own future state INDIVIDUAL ORGANIZATION PROJECT Enable people’s success by supporting them through the dimensions of change Increase outcomes and ROI by integrating activities into the project plan that help prepare, manage, and reinforce change and results in adoption and usage Affect culture changes in the enterprise by embedding Change Management into every Data Governance initiative “IN WHAT WAYS ARE MY CURRENT RESPONSIBILITIES AFFECTED”? “The achievements of an organization are the results of the combined effort of each individual”. Vince Lombardi “HOW DO WE SUCCESSFULLY ACHIEVE LARGE SCALE TRANSFORMATION”? “WHO ARE THE IMPACTED GROUPS AND HOW DO WE SUPPORT THEM”? Reference PROSCI for methodology content Data Governance directly impacts the culture of an organization 37
  • 57. Global Data Strategy, Ltd. 2023 Garnering Excitement - Engage Marketing & Branding • It’s beneficial to engage with your internal Marketing organization and/or an external agency • Include a number of activities and materials in your communication and marketing plan. Here are a few ideas: 38 • Video Testimonial from users/stakeholders • Executive sponsor video • Lunch and learn sessions • Roadshows • Training sessions • Newsletters • Website for data initiative • Data initiative slogan • “Swag” – t-shirts, stickers, mugs, etc. • Posters • Badges and awards Avoid Data Jargon – use Business Language!
  • 58. Global Data Strategy, Ltd. 2023 Resistance Management: Causes for and Approaches to Addressing resistance management • Resistance prevention • Change management applied early – at the onset of every project • Proactive resistance management • Anticipation and early identification of likely resistance so it can be addressed and eliminated upfront • Reactive resistance management • Applying a set of tactics when resistance becomes enduring and persistent What looks like resistance is often a lack of direction Typical Root Causes Employees: Lack of awareness if why the changes are happening and “WIIFM”. Comfort with the status quo and fear of the unknown. Executives: Disconnected with their strategy, financial objectives or compensation Middle Management: Lack of awareness, loss of authority or control, and overload of current responsibilities 39
  • 59. Global Data Strategy, Ltd. 2023 Parting Thought – Culture Change in Your Organization What do you think is the biggest fear of change that you’ll face? 40 What would be the biggest excitement/opportunity driver?
  • 60. Global Data Strategy, Ltd. 2023 Summary • Aligning Data Strategy with business drivers & goals is key to success • Orchestrate the people, process, technology, & culture required through a robust Data Governance program. • Define a right-sized Data Architecture to manage technological change • Your roadmap should tell a story and show an evolution from the current state. • Define “quick wins” as well as long-term value • Culture building and organizational change are critical to success
  • 61. Global Data Strategy, Ltd. 2023 DATAVERSITY Data Architecture Strategies • January Emerging Trends in Data Architecture – What’s the Next Big Thing? • February Building a Data Strategy - Practical Steps for Aligning with Business Goals • March Data Mesh or Data Mess? Separating the Reality from the Hype • April Master Data Management - Aligning Data, Process, and Governance • May How do Data Governance & Data Architecture Support Each Other? • June Why You Need Data Management – Getting Executive Buy-In • July Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation • August Data Quality Best Practices (with Nigel Turner) • September Best Practices in Metadata Management • October Designing Data for Business Intelligence & Analytics – Where the Star Schema Fits in a Modern Data Architecture • December Enterprise Architecture vs. Data Architecture 42 Join Us Next Month
  • 62. Global Data Strategy, Ltd. 2023 Who We Are: Business-Focused Data Strategy Maximize the Organizational Value of Your Data Investment In today’s business environment, showing rapid time to value for any technical investment is critical. But technology and data can be complex. At Global Data Strategy, we help demystify technical complexity to help you: • Demonstrate the ROI and business value of data to your management • Build a data strategy at your pace to match your unique culture and organizational style. • Create an actionable roadmap for “quick wins”, which building towards a long-term scalable architecture. Global Data Strategy’s shares experience from some of the largest international organizations scaled to the pace of your unique team. www.globaldatastrategy.com Global Data Strategy has worked with organizations globally in the following industries: Finance · Retail · Social Services · Health Care · Education · Manufacturing · Government · Public Utilities · Construction · Media & Entertainment · Insurance …. and more
  • 63. Global Data Strategy, Ltd. 2021 www.globaldatastrategy.com Questions? Thoughts? Ideas? 44