The document discusses the need for data governance programs in companies. It outlines why companies suffer without effective data governance, such as applications being unable to communicate and inconsistencies in data leading to increased costs. The document then compares manual and automated approaches to data governance. It provides details on key aspects of building a data governance program, including establishing a framework, defining roles and responsibilities, and outlining a roadmap for improving data governance over time.

1. Data
Governance
Program
Your Company Name

2. 2
Content Need For Data Governance
Why Companies Suffer With Data Governance
Manual Vs Automated Data Governance
Date Governance Framework
Ways To Establish Data Governance Program
Data Governance Improvement Roadmap
Data Governance Roles & Responsibilities

3. Need for Data Governance
3
Guides Various
Analytical Activities
Solves Analysis &
Reporting Issues
Ensures Data Consistency,
Reliability & Repeatability
Enables
Saving Money
Provides Clarity on
Conflicting Data
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4. Why Companies Suffer with Data Governance
4
• Applications and data are unable to communicate to one another, and this must
be addressed up front and planned for in any integration initiative
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• Applications and data are unable to communicate to one another, and this must be
addressed up front and planned for in any integration initiative
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• Inability to handle the data leads to huge costs to the firm
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• Different groups within an organization are unable to effectively
communicate and coordinate with one another
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Data Quality & Data
Migration Integration
Accountability &
Ownership of Data
Cost
Organizational
Issues
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5. Manual Vs Automated Data Governance
5
A manual data governance process is shown below
CRM Manual Quality Checks
Manual Monitoring Manual Modifications
Data Warehouse
CRM ERP
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6. Manual Vs Automated Data Governance (Contd..)
6
Data Hub
Business Intelligence Tool
Data
Collection
Hybrid
Data
Modeling
Intuitive
Semantic Layer
Warehouse
Data Integration
Automated
Build In Data Governance
An automated data governance process removes all manual efforts & is shown below
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7. Data Governance Framework
Data
Accessibility
Data
Availability
Data
Quality
Data
Consistency
Data
Auditability
Data
Security
Data definitions
& taxonomies
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Master/
reference data
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Standards
Data definition
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Monitoring &
measurement
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Policies & Processes
Roles &
responsibilities
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Training
& Education
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Organization
Data Integration Infrastructure
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8. Data Governance Roles & Responsibilities
8
Executive
C-level Managers
Strategic
Data
Governance Council
Tactical
Data Domain Stewards,
Data Steward Coordinators
Operational
Operational Data Stewards
(Includes Data Users)
Support
Data Governance Partners
(Includes IT, Information Security, Risk
Management, and Compliance)
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9. 9
Ways To Establish Data
Governance Program (1/2)
Assign
• Determine who will develop,
implement, & manage the data
governance program
• Roles, responsibilities,& scope
of authority
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Decide
• Establish rules to help
meet those requirements
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Plan
• Identify requirements
based on regulatory &
legal mandates
• Establish business best
practices, & organizational
policies
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Implement
• Put in place policies,
procedures,& processes
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Assess
• Evaluate the success of your
data governance
• Make changes when
necessary to increase its
effectiveness
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Monitor
• Track the status of rule enforcement
on an ongoing basis
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10. Ways To Establish governance Program (2/2)
10
Data
Governance
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Discover
Capture the current state of an organization’s data
lifecycle, dependent business processes, and
supporting organizational and technical capabilities
Define
Document data definitions and business context
associated with business terminology, and
relationships, as well as the policies, rules,
standards and processes
Apply
Aim to operationalize and ensure compliance with
all the data governance policies, business rules,
stewardship processes, workflows, and cross-
functional roles and responsibilities
Measure & Monitor
Capture and measure the effectiveness and value generated from
data governance and stewardship efforts, track compliance with and
exceptions to defined policies and rules, and ensure that data assets
and their lifecycle are transparent and auditable

11. Data Governance Improvement Roadmap
11
Discovery
• Gain understanding of existing processes
• Gap Analysis
• Roadmap execution creation
Documentation Gap Remediation Validation
• Document recommendations to best practices
• Perform impact simulation
Monitoring & Reporting
• Develop ongoing monitoring & quality reporting
• Develop & Document protocols
Ongoing Audit & Maintenance
• Schedule ongoing audits & reports
• Monitor third party data providers
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12. Data Governance Program Icons Slide
12

13. Our MissionMission 01
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Mission 02
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Mission 03
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13

14. Name Here
Designation
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Name Here
Designation
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Name Here
Designation
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Our Team
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15. Preferred By Many
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Target Audiences
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Values Client
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15
About Us

16. Location
16
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United
States
20%
Brazil
30%
Australia
40%
China
50%

17. Quotes
Time is really the
only capital that any
human being has,
and the only thing he
can’t afford to lose.
-Thomas Edison
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18. Comparison
18
01 02
03
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19. Idea Bulb & Brain
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20. 20
Target Target 01
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Target 03
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Target 02
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21. Timeline
21
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2015
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2017
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2019
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2016
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2018

22. Financial
22
Minimum
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Medium
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Maximum
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23. 23
Combo
Chart
Profit(InPercentage)
0
10
20
30
40
50
60
70
80
90
100
2016 2017 2018 2019
Product
01
Product
02
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24. 24
Area
Chart
0
10
20
30
40
50
60
70
80
90
100
FY '12 FY '13 FY '14 FY '15 FY '16 FY '17 FY '18
InPercentage
Product 01
Product 02
Product 03
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25. Thank You
Email Address
emailaddress123@gmail.com
Address
# street number, city, state
Contact Numbers
0123456789
25