Building a Data Strategy – Practical Steps for
Aligning with Business Goals
Donna Burbank
Global Data Strategy, Ltd.
February 27th, 2020
Copyright Global Data Strategy, Ltd. 2020
Follow on Twitter @donnaburbank
Twitter Event hashtag: #DAStrategies
Donna Burbank
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
Donna is a recognised industry expert in
information management with over 20 years and Advisor to the DAMA Rocky Mountain
chapter, and was awarded the Excellence in
of experience in data strategy, information
Data Management Award from DAMA
management, data modeling, metadata
International.
management, and enterprise architecture.
Her background is multi-faceted across
Donna is also an analyst at the Boulder BI
consulting, product development, product
Train Trust (BBBT) where she provides advice
management, brand strategy, marketing,
and gains insight on the latest BI and
and business leadership.
Analytics software in the market. She was on
several review committees for the Object
She is currently the Managing Director at
Management Group’s for key information
Global Data Strategy, Ltd., an international
management and process modeling
information management consulting
company that specializes in the alignment of notations.
business drivers with data-centric
Global Data Strategy, Ltd. 2020
Follow on Twitter @donnaburbank
Twitter Event hashtag: #DAStrategies
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 coauthored two books: Data Modeling for the
Business and Data Modeling Made Simple
with ERwin Data Modeler and is a regular
contributor to industry publications. She can
be reached at
donna.burbank@globaldatastrategy.com
Donna is based in Boulder, Colorado, USA.
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DATAVERSITY Data Architecture Strategies
This Year’s Lineup
• January 23
Emerging Trends in Data Architecture – What’s the Next Big Thing?
• February 27
Building a Data Strategy - Practical Steps for Aligning with Business Goals
• March 26
Cloud-Based Data Warehousing – What's New and What Stays the Same
• April 23
Master Data Management – Aligning Data, Process, and Governance
• May 28
Data Governance and Data Architecture – Alignment and Synergies
• June 25
Enterprise Architecture vs. Data Architecture
• July 22
Best Practices in Metadata Management
• August 27
Data Quality Best Practices
• September 24
Data Virtualization – Separating Myth from Reality
• October 22
Data Architect vs. Data Engineer vs. Data Modeler
• December 1
Graph Databases: Practical Use Cases
Global Data Strategy, Ltd. 2020
3
What We’ll Cover Today
• Developing a Data Strategy for your organization can seem like a daunting task.
• The opportunity in getting it right can be significant, however, as data drives many of the key
initiatives in today’s marketplace from digital transformation, to marketing, to customer
centricity, population health, and more.
• This webinar will help de-mystify data strategy and data architecture and will provide
concrete, practical ways to get started.
Global Data Strategy, Ltd. 2020
4
The Rise of the Data-Driven Business
Data, more than ever, is seen as a key business asset and strategic differentiator.
Global Data Strategy, Ltd. 2020
5
Business and Technical/Data Roles are Merging
As Data & Digital Transformation grow, there is a blurring between business and tech roles
Global Data Strategy, Ltd. 2020
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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
Global Data Strategy, Ltd. 2020
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What is a Data Strategy?
Strategy vs. Management
Strategy:
Management:
1. the art of devising or employing plans
or stratagems toward a goal
1. judicious use of means to accomplish an end
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
2. the act or art of managing : the conducting or
supervising of something (such as a business)
- Source Merriam Webster
3. the science and art of military command
exercised to meet the enemy in combat under
advantageous conditions
- Source Merriam Webster
Global Data Strategy, Ltd. 2020
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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
Global Data Strategy, Ltd. 2020
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Data-Driven Business
Data-Driven Business is an impetus
for data management
• 70% of respondents feel that their organization
sees data as a strategic asset*.
• 68% are looking to save costs and increase
efficiency
• 53% see digital transformation as a key driver
for data management
Data Management is the foundation of the Data-Driven Business
Global Data Strategy, Ltd. 2020
* based on research from a 2019 DATAVERSITY survey on “Trends in Data Management” by Donna Burbank and Michelle McKnight
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Business Optimization vs. Business Transformation
Digital Transformation is transforming business
Business Optimization
Business Transformation
Becoming a Data-Driven Company
Becoming a Data Company
• Improving Efficiency
• New Business Models
• Reduce Redundancy
• Data is the product
• Eliminate Manual Effort
• Monetization of information
• Growing Revenue
• Digital Transformation
• Improved Marketing Campaigns
• New Business Models
• Data-driven Product Development
• Data is the Business
• Etc.
How do we do what we do
better?
Global Data Strategy, Ltd. 2020
• Etc.
How do we do something
different?
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Business & Data Strategy – the Interdependency
Informs & Guides
Data Strategy
Business Strategy
Business
Strategy
Informs & Guides
Global Data Strategy, Ltd. 2020
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Aligning Business Strategy and Data Strategy
A Successful Data Strategy links Business Goals with Technology Solutions
“Top-Down” alignment with
business priorities
Managing the people, process,
policies & culture around data
Leveraging & managing data for
strategic advantage
Coordinating & integrating
disparate data sources
“Bottom-Up” management &
inventory of data sources
Copyright 2019 Global Data Strategy, Ltd
Global Data Strategy, Ltd. 2020
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Where to Begin? Data Strategy Assessment & Roadmap
Business Goals & Strategy
Identifying Business Goals & Objectives
Aligned to Data
Business Motivation Model
Current State Assessment
Understanding Current
Maturity & Environment
Data Management Maturity Assessment
Technology Landscape Overview
Business Drivers Mapped to
Strategic Data Initiatives
Proposed Future State
Propose Future State Capabilities,
Processes & Organizational Structure
Organizational Structure & Framework
KPIs and
Metrics
Implementation Roadmap
Prioritizing Efforts &
Identifying “Quick Wins”
3-12-24 Month Roadmap
Roles, Skills &
Processes & Responsibilities
Procedures
Architecture & Technology Recommendations
Communication & Evangelism
Summary & Recommendations
Global Data Strategy, Ltd. 2020
Global Data Strategy, Ltd. 2019
www.globaldatastrategy.com
Business Motivation Model
Artful Art Supplies
Corporate Mission
ArtfulArt
Corporate Vision
To provide a full service online retail experience To be the respected source of art products worldwide,
creating an online community of art enthusiasts.
for art supplies and craft products.
External Drivers
Digital Self-Service
Online Community &
Social Media
Internal Drivers
•
•
Corporate-level Mission & Vision
May already be created or may
need to create as part of project.
Project-level, Data-Centric Drivers
External Drivers are what you’re
facing in the industry
Internal Drivers reflect internal
corporate initiatives.
Increasing
Regulation Pressures
Targeted Marketing
360 View of
Customer
Revenue Growth
•
•
Customer Demand
for Instant Provision
Brand Reputation
Community Building
Cost Reduction
•
C
Goals & Objectives
Accountability
• Create a Data Governance
Framework
• Define clear roles &
responsibilities
C for both
business & IT staff
• Publish a corporate
information policy
• Document data standards
• Train all staff in data
accountability
Quality
• Define measures & KPIs for
key data items
• Report & monitor on data
quality improvements
C
• Develop repeatable
processes for data quality
improvement
• Implement data quality
checks as BAU business
activities
Global Data Strategy, Ltd. 2020
Culture
• Ensure that all roles
understand their
contribution to data quality
• Promote business benefits
C quality
of better data
• Engage in innovative ways
to leverage data for
strategic advantage
• Create data-centric
communities of interest
•
•
•
Project-level, Data-Centric Goals
& Objectives
Clear direction for the project
Use marketing-style headings
where possible
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Mapping Business Drivers to Data Management Capabilities
Business-Driven Prioritization
Stakeholder Challenges
Business Drivers
Internal Drivers
Digital Self Service
Online Community &
Social Media
Increasing Regulation
Pressures
Customer Demand for
Instant Provision
External Drivers
1
2
360 View of Customer Needed
• Aligning data from many sources
• Geographic distribution across regions
Brand Reputation
Revenue Growth
Community Building
Cost Reduction
Data Quality
• Bad customer info causing Brand damage
• Completeness & Accuracy Needed
Cost of Data Management
• Manual entry increases costs
• Data Quality rework
• Software License duplication
6
No Audit Trails
• No lineage of changes
• Fines had been levied in past for lack of
compliance
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New Data Sources
• Exploiting Unstructured Data
• Access to External & Social Data
Global Data Strategy, Ltd. 2020
Data Governance
1 2 3 4 5 6
Master Data
Management
1 2 3 7
Data Warehousing
Integrating Data
• Siloed systems
• Time-to-Solution
• Historical data
5
360 View of Customer
1 7
1 2 3 7
3
4
Targeted Marketing
Lack of Business Alignment
• Data spend not aligned to Business Plans
• Business users not involved with data
Strategy
Business Intelligence
1 2 6
Big Data Analytics
2 3 7
Data Quality
3 4 5
Data Architecture
& Modeling 1
2 3 4
Data Asset Planning &
Inventory
3
Data
Integration
Metadata
Mgt 1
Shows “Heat
Map” of Priorities
5 6
2 3 5 7
16
2 3 4 5 6 7
Enterprise Data Management
Part of a Data Strategy is Defining Fit for Purpose Solutions
Operational Data
Reporting & Analytics
Enterprise Historical Reporting
CRM
CRM
ERP
Customer X orders
Product Y at 2pm on
Oct 24, 2017
Customer X calls
Support at 1pm on
Nov 1, 2017
Inventory consists of x
number of Product X
components on Oct
24, 2017
Sales
DW
What were total
sales for Product X
in 2016 by region?
Metadata
“Golden Record” for Customer,
Product, etc.
Business & Technical Context &
Descriptions
UCM
Analytics & Discovery
Customer
Care
UPM
What variables
most influence
customer repeat
purchases?
Lake
Analytics
Team
Operational Reporting
Supply
Chain
How many support
calls are currently
open?
CRM
& other
systems
IoT
ELT
Managers
Master & Reference Data
Product
Customer turns on
foot warmer at 11pm Team
on Oct 30, 2017
Customer
Global Data Strategy, Ltd. 2020
Mary Smith lives on 101 Main ST,
Detroit, MI and has been a
customer since 2011
Business
Glossary
Product 720 has a product code Applications
of SS720 & a suggested retail
DW Etc
price of $11,000 USD.
Data
Models
Reference Data
Valid Return Codes are “X, Y, & Z”
State Codes include MA, MD MI …
DW
Access
Not recommended
for enterprise data
management.
Business
Users
Developers
Data
What is this DW table
Dictionary used for?
Hierarchies
Limited ad hoc analysis
for small data sets.
How do we uniquely
identify a customer?
Can a customer have
more than 1 email?
Etc
Managers
Limited Personal Use
How is Total Sales
Business
calculated?
Users
What is a Qualified
Lead?
Developers
Developers
The standard length for
customer ID is CHAR(12)
The Sales management reporting
hierarchy is structured as follows.
DW
Etc
Data How was this field
Lineage calculated?
What will break
Developers
downstream if I make a
change?
Find a Balance in Implementing Data Management
Focus on Business Value
• Find the Right Balance
• Data Management projects can have the reputation for being overly “academic”, long, expensive, etc.
• No architecture at all can cause chaos.
• When done correctly, Data Management helps improve efficiency and better align with business priorities
Too Academic, nothing
gets done
Business Value
Too “Wild West”, nothing
gets done - chaos
Global Data Strategy, Ltd. 2020
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Current Platform Adoption
• Relational Database still dominate the data
management landscape
• Majority is on-premises
a number of respondents mentioned Data Governance in their comments as a way to align the various stakeholders around
• Some Cloud Adoption
common goals
• Spreadsheets still ubiquitous, partly due to
the large interest from business users.
Relational database still dominate the market, both on premises and Cloud-based
Global Data Strategy, Ltd. 2020
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Future Platform Adoption
• Future Plans still include a high percentage
of relational databases, with a higher
percentage of Cloud-based systems.
a number of respondents mentioned Data Governance in their comments as a way to align the various stakeholders around
• A wider distribution of platform usage
common goals
indicates the variety of options and fit-forpurpose solution – one size doesn’t fit all.
Future plans still feature relational databases, with a higher focus on Cloud Adoption, and a wider mix of technologies.
Global Data Strategy, Ltd. 2020
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Integrating the Data Lake & Traditional Data Sources
• The Data Lake has a different architecture & purpose than traditional data sources
such as data warehouses.
• But the two environments can co-exist to share relevant information.
Reporting & Analytics
Advanced
Analytics
Standard BI
Reports
Self-Service BI
Data Governance & Collaboration
Data Analysis & Discovery – Data Lake
Sandbox
Lightly Modeled
Data
Data
Exploration
Enterprise Systems of Record
Master &
Reference Data
Data Warehouse
Operational Data
Data Marts
Security & Privacy
Global Data Strategy, Ltd. 2020
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The Importance of KPIs
“You Can’t Manage What You Can’t Measure”
• Most businesses set strategic goals they desire to achieve, and measure these goals against Key
Performance Indicators (KPIs).
• These KPIs provide a concrete, objective way to measure progress towards these goals
• To use Finance as a comparison, they have a number of KPIs they use
to manage financial assets.
• Revenue Projections
• Budget Goals & Limits
• Expense Ration, etc.
• We need to do the same with data assets.
•
•
•
•
•
% complete
% accuracy
Timeliness
ROI
Cost Savings
Global Data Strategy, Ltd. 2020
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Measuring Data Improvements
Aligning Data Quality Metrics with Business Improvements
• Data Quality KPIs & Measures can aligned with concrete business drivers
• Helps prioritize efforts
• Basis for showing benefits and results
• For example, if we ensure that email address are 100% complete and 90% accurate, our marketing campaign
effectiveness can increase by 20%.
Business Driver: Improving Customer Data for Marketing Launch Campaign
KPI
Number of duplicate
customer records
Current
2,000,000
Target
1,000
Incorrect Salutation (Mr,
Ms, etc.)
5,000
1,000
Incorrect address/location
10,000
500
Missing Sales Rep Assigned
500
100
Global Data Strategy, Ltd. 2020
Status
Business Benefits
• Correct # of customers for sales estimations
• Better single view of customer for integrated social
media campaign
• Reduce cost of physical mailing by $20K
•Customer satisfaction & Brand reputation harmed by
incorrect salutation.
•Targeted marketing campaigns by gender.
• Lower return rate on physical mailings
• Better targeted marketing by region.
Type
• Cost savings
• Brand Reputation
• Marketing Innovation
• Ability for Sales to execute on customer leads
• Revenue growth
• Sales Effectiveness
• Brand Reputation
• Campaign Effectiveness
• Cost Savings
• Campaign Effectiveness
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Over $800M from Data Quality Improvement
A Focus on Data Quality Yields Big Benefits for BT 1
The Challenge
•
•
•
BT Group plc - a British multinational telecommunications
holding company which had the following challenges:
• Business Agility to deliver new products and services
• Regulatory Compliance to meet industry demands in a
heavily-regulated industry
• Customer Satisfaction through positive customer
interaction.
Unfortunately, these efforts were being hampered by poor
data quality:
• Poor Supplier & Customer data hampered self-service
interactions
• Inaccurate inventory led to increased capital
expenditure
• Billing errors caused customer dissatisfaction
The Result
•
As a result, BT achieved in aggregate more than $800
million in quantified benefits including:
•
Capital Cost Avoidance: Through improving accuracy of
inventory data, BT optimized equipment inventory and
reduced inventory costs.
•
Improved Revenue Assurance: By improving Billing Data
accuracy, revenue loss decreased from more than 15% to
less than 1%.
•
Productivity Gains in B2B Processes: By resolving data
quality issues, BT was able to automate customer and
supplier interactions, and reduce cycle times and manual
effort.
To improve Data Quality, BT embarked on an enterprise-wide
data improvement journey which included both technology
and culture change.
Global Data Strategy, Ltd. 2020
1
Gartner, Publication Number G00138085, 24 March 2006
24
“Offense” vs. “Defense”
Which style of data strategy & governance fits your organization?
Offense
Defense
• Focused on Creating Opportunity
•
•
•
•
Improving Profitability
Increasing Revenue
Improving Customer Satisfaction
Competitive Advantage
• 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. 2020
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Making the Business Case
Minimizing Costs
Minimizing Costs
• Minimizing Costs – this is often the easiest to show
• Reduction in Wasted Labor Costs: How much human capital is wasted due to poor data quality, lack of data
access, redundant data efforts, etc.?
• E.g. Mary spends 10 hours per week cleaning data before each marketing campaign.
• Calculate Mary’s hourly rate x # hours per week x # weeks -> $50/hr x 10 x 46 = $23,000 per year
• Improving Inefficient Business Processes: Can Supply Chain be made more efficient with a standardized set
of material master data?
• E.g. Efficiency gains of 2% can be achieved resulting in $X of savings.
• Cost Avoidance: Would improving address data quality reduce the number of returned mailings?
• E.g. Cost of each mailing x # returned x # times per year. -> $1 per mailing x 500 returned per week x
50 weeks of mailing = $25,000 per year
Global Data Strategy, Ltd. 2020
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Making the Business Case
Optimizing Revenue
Optimizing Revenue
• Optimizing Revenue – How can better data improve business efficiency and profitability?
• Improved Business Performance: But more interesting is the ways data can be used to improve business effectiveness:
• Marketing Campaigns: Improved contact data (email, address, etc.) can improve marketing, but what new data sources
can be used? Social Media? Weather Data? Other?
• Advanced Analytics: How can analytics be used to improve the business, e.g. Price Optimization, Customer
Segmentation, etc.
• New Data-Driven Applications: How can data and new data-driven technologies (e.g. AI) be used to improve the business:
• Chat Bots: To streamline customer service
• Recommendation Engines: To enhance the sales cycle.
• New Revenue Streams: Can data be used for new revenue streams:
• Grant Funding: Data-driven analysis is often a key aspect of grant writing.
• Leveraging IP: Is there data that your company owns that can be monetized for research, marketing, etc.?
Global Data Strategy, Ltd. 2020
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Making the Business Case
Reducing Risk
Reducing Risk
• Reducing Risk – Risk avoidance is a key aspect of any business. How can data and governance be used to minimize risk?
• Regulation: Industry regulations drive many data governance efforts including GDPR, HIPAA, BCBS 239, Spice, HIPAA, etc, etc.
• Product Traceability: Many food producers offer data-driven lineage showing the source of their food materials (e.g. fish catch).
• Health and Safety: Ensuring the health and safety of both customers and employees is critical.
• Employee: Data driven applications can help monitor employee health and safety activities (e.g. speeding).
• Customer: Is nutritional or allergen information correctly shown on menus? Does this information link to the actual food
source in the supply chain?
• Audit & Fines: Which industry regulations result in audit or fines? Has the organization been fined in the past? Can this be
quantified?
• Litigation: Has litigation occurred in the past due to data errors? What were the monetary sums?
Global Data Strategy, Ltd. 2020
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Improvements to Core Business
Making the Business Case
• It’s often beneficial to turn your “back of the
envelope” calculations into a formal financial
projection.
• Benefits
• One time: e.g. sale of a data set, research
grant, etc.
• Recurring: e.g. staff productivity, ongoing
revenue, reduction in ongoing costs, etc.
• Costs:
• One time: e.g. software or hardware
purchase, initial training costs, etc.
• Recurring: e.g. Software subscription or
maintenance, staff salary, etc.
• Consider Capital Expenditure (Capex) vs.
Operational Expenditure (Opex)
• E.g. Cloud subscriptions can generally be
considered Opex.
• Speak with Finance to see what is beneficial
to them – they often have unique priorities
per industry.
Global Data Strategy, Ltd. 2020
Part of your job is Finance!
29
Calculate a Realistic “Break Even” Point
Net-positive benefits may not happen immediately
Net positive value
• Often, there is a period of “ramp up”
time where initial costs are greater than
the overall benefits.
Initial costs
“Break even” point
• Software costs
• Training or Consulting Costs
• Initial loss of productivity as:
• Business processes are optimized
• Technical teams get up to speed
• It’s helpful to calculate a “break even”
point where the initiative begins to show
value.
Global Data Strategy, Ltd. 2020
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Mapping Organizational Capability
• Organizational Capability, Organizational Structure, and Roles are key to any Data Strategy
Aligning to Organizational Capabilities
Designing Org Structures for Data-Centric Efforts
e.g. From Plan to Production to Sales & Distribution
e.g. Aligning Data Governance to Individual Culture
Part of your job is
Organizational Change!
Global Data Strategy, Ltd. 2020
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Cockroach, Unicorn, or Dinasour?
What project or programs do you align with?
Global Data Strategy, Ltd. 2020
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Evangelism & Outreach
• Key to long-term success is continued evangelism & outreach
• Communicate, communicate, communicate!
• Training & education
• Newsletters
• Webinars
• “Branding” & Collateral
• 1:1 Briefings
• “Lunch & Learns”
• Conference presentations
• Service Catalogues
• Etc.
Part of your job is
Marketing!
Global Data Strategy, Ltd. 2020
Find Advocates Across the Organization
• It’s key to find champions for your data strategy effort across the business
• Both “business” and “IT”
• From Senior level executives as champions to Field staff as supporters
• In making the case for funding or buy-in, it’s helpful to have someone else tell your story
• Can marketing advocate the case for change to improve campaigns
• … Or sales discuss the potential increases in revenue
•
…. Or Engineering point out the increases in efficiency and quality
While we may want to take the
“credit” for the data strategy, it is often
most successful when other people
have embraced it as their own.
Global Data Strategy, Ltd. 2020
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Key Steps to Creating a Data Program
Steps to Success
• The following steps should be included when creating a data program. The order is less important
than ensuring that they are completed.
Secure Senior Executive
Support
Define Vision, Drivers &
Motivations
Identify & Interview
Stakeholders
Build the Business Case
• Identify a Data Champion among
senior leadership.
• Define business-driven vision for
the program.
• Elicit feedback from key stakeholders
– listen & communicate.
• Outline key benefits of data
program & risks of not doing so
Identify Business-Critical Data
Assess IT Maturity
• Focus on the data that has the
highest impact on the business.
• Assess the maturity of the IT
organization across all aspects of
data management.
Map Business Priorities to IT
Capabilities
Global Data Strategy, Ltd. 2020
• Create a realistic “heat map”
aligning business goals with data
management capabilities.
Deliver “Quick” Wins
Communicate
• Short, iterative, business-driven
projects deliver short-term value,
building towards long-term gain.
• Build a communication plan from
initial feedback phase throughout
all phases of the program.
Create Organization
• Define an organizational structure
that aligns with your way of
working.
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Defining an Actionable Roadmap
Maximize the Benefit to the Organization
• Develop a detailed roadmap that is both actionable and realistic
•
•
•
•
Show quick-wins, while building to a longer-term goal
Balance Business Priorities with Data Management Maturity
Focus on projects that benefit multiple stakeholders
Mix core architecture with “new shiny things”
Initiatives
H1 '17
H2 '17
H2 '18
H2 '18
Strategy Development
Governance Lineage for
Privacy Rules
Business Glossary
Population & Publication
Data Warehouse Metadata
Customer
Product
Location
Customer Analytics Pilot –
Social Media integration
Open Data Publication
IoT Integration
Ongoing
Communication & Collaboration
Integrated
Customer View
Global Data Strategy, Ltd. 2020
Marketing
Customer Support
Sales
Executive Team
36
Building Blocks to an Effective Roadmap
Who?
Why?
Who are the key stakeholders who will benefit?
Who are the Data Stewards who can be
“discovered” in the organization?
What are the key business drivers?
Think both “Offense” & “Defense”
When?
When will you roll this out?
What is the timing and cadence or actions and
deliverables?
How?
Are there other key initiatives it’s important to align
with?
How will you organize the Data Governance team(s)?
What data needs to be governed?
Will this be Hierarchical, Federated?
Collaborative or Standards-Driven?
Is this structured or unstructured?
Real-time or batch?
In which platforms or systems?
Global Data Strategy, Ltd. 2020
What?
37
Summary
• Aligning Data Strategy & Data Architecture with business drivers & goals is key to success
• The blurring of “Data” and “Business” will continue
• Adapt your data architecture for both innovative & legacy technologies
• Consider whether your Data Strategy focuses Primarily on “Offense” or “Defense”
• Design core KPIs and metrics to track business value & success
• Develop a practical roadmap that balances “quick wins” with long-term foundational
architecture
Global Data Strategy, Ltd. 2020
38
White Paper: Trends in Data Management
Free Download
• Download from www.globaldatastrategy.com
• Under ‘Whitepapers’
• Also available on Dataversity.net
Global Data Strategy, Ltd. 2020
39
DATAVERSITY Data Architecture Strategies
Join us next month
• January 23
Emerging Trends in Data Architecture – What’s the Next Big Thing?
• February 27
Building a Data Strategy - Practical Steps for Aligning with Business Goals
• March 26
Cloud-Based Data Warehousing – What's New and What Stays the Same
• April 23
Master Data Management – Aligning Data, Process, and Governance
• May 28
Data Governance and Data Architecture – Alignment and Synergies
• June 25
Enterprise Architecture vs. Data Architecture
• July 22
Best Practices in Metadata Management
• August 27
Data Quality Best Practices
• September 24
Data Virtualization – Separating Myth from Reality
• October 22
Data Architect vs. Data Engineer vs. Data Modeler
• December 1
Graph Databases: Practical Use Cases
Global Data Strategy, Ltd. 2020
40
About Global Data Strategy, Ltd
Data-Driven Business Transformation
• Global Data Strategy is an international information management consulting company that
specializes in the alignment of business drivers with data-centric technology.
• Our passion is data, and helping organizations enrich their business opportunities through data and
information.
• Our core values center around providing solutions that are:
• Business-Driven: We put the needs of your business first, before we look at any technology solution.
• Clear & Relevant: We provide clear explanations using real-world examples.
• Customized & Right-Sized: Our implementations are based on the unique needs of your organization’s
size, corporate culture, and geography.
• High Quality & Technically Precise: We pride ourselves in excellence of execution, with years of
technical expertise in the industry.
Business Strategy
Aligned With
Data Strategy
Visit www.globaldatastrategy.com for more information
Global Data Strategy, Ltd. 2020
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Questions?
• Thoughts? Ideas?
Global Data Strategy, Ltd. 2020
www.globaldatastrategy.com
42