The document discusses the complexities of data management in today's big data environment, emphasizing the need for a comprehensive data strategy to address challenges in data governance, security, and integration. It outlines the essential components, objectives, and organizational changes necessary to develop an effective data strategy that aligns with business goals and leverages data as a strategic asset. The document highlights the importance of addressing perceived pain points and acknowledges that successful implementation is a long-term, collaborative process.

1. Data Strategy in a Big Data World
Craig C. Milroy, Chief Data Architect

2. 2

3. Increased data centricity
Why? - The Problem: When did Data become so complicated? 3

4. Why? - The Problem: Thank you for Cloud and Big Data Conversation… 4
Info. Lifecycle Management
Data
Security & Privacy
Master Data Management
Data Governance
Database Management
DB
Data Integration
Analytics & BI
Metadata
Management
Reference Data
Data Quality
Data
Services
Big Info. Lifecycle Big Data
Big Security & Big Master Data Big Data Big Database Big Data Big Analytics
& BI
Big Metadata
Big
Big Data Quality
Big Data

5. Consumers
LOB
Why? - The Problem: When did Data become so complicated…
CIF
ODS
CIF
LOB
LOB
LOB
MDM 5

6. 2008
2009
2010
2011
2012
2013
2014
#OPEN DATA
#INTERNET
OF THINGS
#BIG DATA
Why? - The Problem: And lets not forget about… 6
#CLOUD
#SOCIAL
#MOBILE

7. … Data Driven Business Objectives are not currently possible to achieve
When - The Problem: How do you know you need a data strategy? 7
Customer Growth
Growth
Speed
Customer
Innovation
Operational
Risk Reduction
Financial
Efficiency
Risk Exposure
Regulatory
Controls
Responsiveness

8. Data market trends influence your business direction ?
0
10
20
30
40
50
60
70
80
90
100
Big Data
Cloud
Data Analytics
Data Scientist
Data growth
trends within your organization is greater than Revenue and Profitability growth?
0
5
10
15
20
25
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
Data Storage PB
Profit
When - The Problem: How do you know you need a data strategy?
8

9. … Strategy derived from perceived pain points
When - The Problem: How do you know you need a data strategy? 9
Security & Privacy
Info. Lifecycle Management
Data
Master Data Management
Data Governance
Database Management
DB
Data Integration
Analytics & BI
Metadata
Management
Reference Data
Data Quality
Data
Services

10. …STATUS QUO
…TECHNOLOGY CENTRIC APPROACH
…PAPER BASED EXERCISE
…ABOUT DATA PLATFORM CURRENCY
What? – The Proposal: What a Data Strategy is Not… 10

11. …resolution of Data Ownership and Governance
…achievement of Strategic Business Objectives
…Key driver for CULTURAL and BEHAVIORAL change
…Break down of Data Silos while Enabling SPEED, AGILITY & INNOVATION
What is an asset? Project vs. Asset How to leverage untapped, undermanaged asset…
What? – The Proposal: What a Data Strategy enables… 11

12. Financial Networks
Analytics
Enhanced
Customer
Insight
Information Security
Risk & Compliance Management
Data Exploration
Operational Analysis
Data Strategy
What? – The Proposal: With a Data Strategy these may be within reach… 12

13. The creation of an Enterprise DATA Strategy is HARD WORK.
The Proposal: Mechanics for a Data Strategy Adoption…
Enterprise Data Strategy
Business
Technology
Line of Business
Line of Business
Line of Business
Line of Business
Enterprise Systems 13

14. Customer Growth
Operational
Regulatory
Capabilities
Architecture
Culture/
Behavior
Data Governance
Data
Data Quality
Data Economics
Data Centricity
Data Ownership
Analytics
Privacy/Security/ Legal
Technology
Process
Organization
The How:
Data Strategy on a Page… 14
Business Objectives

15. Data Collection & Verification
Analysis & Opportunity
Identification
Planning & Discovery
Define Scope
Project Planning & Schedule
Stakeholder/
Participants
Business Framework Assessment
Technology Framework Assessment
Data Model Assessment
Business/Technology Target State
Actionable Transition Roadmap
Change Management
Organizational
Change
Cultural /Behavioral Change
Technology Change
Communications
Business Value / Financial Model
Alignment with Strategy Drivers
Business Objectives
Data Strategy
… Focus on Long-Term; yet be pragmatic…
How:
Mechanics for a Data Strategy… 15

16. Business Capabilities
Business Challenges
Business Outcome
Market Drivers
Global Economy
Local Economy
Regulations
Customers
Technology Innovation
Regulatory Compliance
Focus on Risk Management
Strengthen the Balance Sheet
Increase Revenue
Business Model Optimization
Speed to Market
Actively Manage Risk
Customer Insights
Customer Experience
Innovative Product/Services
Business Value / Financial Model
Customer Growth
Operational
Regulatory
… alignment to business objectives, value and capabilities is essential
How:
Mechanics for a Data Strategy…
Business Objectives 16

17. … alignment to Technology objectives, value and capabilities is essential
How:
Mechanics for a Data Strategy… 17

18. Organization
Party
Party Asset
Product
Agreement
Location
Event
… future state must guide technology investment
How:
Mechanics for a Data Strategy 18

19. … To ensure Technology support; a different view of the data strategy 19
How:
Data Strategy Outputs
Info. Lifecycle Management
Data
Data Integration
Big Data
Security and Privacy
Master Data Management
Database Management
Data Governance
Analytics & BI
Organizational Data Model
Technology Platform Enablement
Strategic Business Assets
DB
Reference Data
Metadata
Management
Data Services
Data Strategy

20. … Data is required to make your case
Long-Term
Business Value
Enablement 20
How:
Business Case
Customer Growth
Operational
Regulatory
Data Points
Data Quality
Delivery
Infrastructure
Business
Metrics/KPI’S
PMO
Business Objectives
Governance
Organization
Technology Enablement
Change
Financial
Outcomes
Business Outcomes

21. Chief Information Officer
VP Information Management
Director Data Management
Database Administrator
Chief Data Officer
Chief Analytics Officer
Data Architect
Data Scientist
Chief Customer Officer
Chief Marketing Officer
Chief Risk Officer
… a new Data Centric World is emerging….
Who:
New Cast of Characters in the Data Space 21

22. … Enforced, centrally establish enterprise data governance, balanced with guidance….
Who:
The new organization… 22
Data Policies
Data Compliance
Data
Quality
Data Strategy
Open
Data
Enterprise Architecture
Line of Business
Data Monetization
Data Steward Communities
Data Strategy
Data Governance
Office of the Chief Data Officer
Risk
Data
Finance Data
Customer
Data
LOB
Data
Technology Delivery

23. … The effort is a journey
12 Months and Beyond
6 to 12 Months
Initiation to 6 Months
CDO
Recruitment
Develop Data strategy
Data
Governance
Office of
The CDO
“Data Scientist”
Enterprise Data Roadmap
Data as a Business Asset
Business
Case
Data Strategy
Refresh
Data
Monetization
Stakeholder
Alignment
… The Goal is enabling Data as a Strategic Business Asset 23
Data Transformation Journey

24. 24

25. Banking, Big Data, Business Analytics, Business Architecture, Business Capability, Business Intelligence, Business Leadership Business Process, Business Transformation, Chief Data Architect, Cloud, Customer Centricity, Customer Relationship Management , Data Architecture , Data Assessments, Data Exploration, Data Governance, Data Integration, Data Process Modeling, Data Quality, Data Strategy, Data Streams, Data Visualization, Data Warehouse, Design, Financial Services, Enterprise Architecture, FSLDM, Hadoop, Information Lifecycle Management, Investment, Master Data Management, Metadata Management, Mobile, Next Generation Data Platform, Open Data, Open Source, Reference Data Management, Roadmap, Risk Management, Startup, Technology Stack, Thought Leadership 25