This document discusses the need for and benefits of data governance, as well as common challenges companies face with data governance. It outlines roles and responsibilities in a data governance program, ways to establish a data governance program, and provides a data governance framework and roadmap for improvement. Specific topics covered include ensuring data consistency, guiding analytical activities, saving money, and providing clarity on conflicting data. Common challenges include lack of communication, organizational issues, cost, lack of data and application integration, and issues with data quality and migration. The document compares manual and automated approaches to data governance.

1. DATA
Governance
Your Company Name

2. Content
2
Data Governance Ro
les & Responsibilities
Ways to Establish Data
Governance Program
Data Governance
Improvement Roadmap
Need for
Data Governance
Date Governance
Framework
Manual vs Automated
Data Governance
Why Companies Suffer with
Data Governance
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3. Need for Data Governance
3
Ensures Data Consistency,
Reliability & Repeatability
Guides Various
Analytical Activities
Enables
Saving Money
Solves Analysis &
Reporting Issues
Provides Clarity on
Conflicting Data
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4. Why Companies Suffer with Data Governance
› Different groups within an organization are unable to effectively communicate
and coordinate with one another
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Organizational Issues
› Inability to handle the data leads to huge costs to the firm
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Cost
› 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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Accountability & Ownership of Data
› Applications and data are unable to communicate to one another, and this
must be addressed up front and planned for in any integration initiative
› Text Here
Data Quality & Data Migration Integration
4
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5. Manual Vs Automated Data Governance
5
CRM Manual Quality Checks
Manual Monitoring Manual Modifications
Data Warehouse
CRM ERP
A manual data governance process is shown below
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6. Manual Vs Automated Data Governance (contd..)
6
Data
Collection
Hybrid
Data
Modeling
Intuitive
Semantic Layer
Warehouse
Data Integration Business Intelligence Tool
Data Hub
Built - In Data Governance
An automated data governance process removes all manual efforts & is shown below
Automated
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7. Data Governance Framework
7
Data Definition
Text Here
Monitoring &
Measurement
Text Here
Data Definitions
& Taxonomies
Text Here
Master/
Reference Data
Text Here
Roles &
Responsibilities
Text Here
Training
& Education
Text Here
Data Integration Infrastructure
Data
Accessibility
Data Availability Data Quality
Data
Consistency
Data Auditability
Data Security
Standards Policies & Processes Organization
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The framework focuses on
timely, reliable, meaningful,
and enough data services,
focusing on what data
attributes should be achieved
based on the data attributes of
Big Data services

8. Data Governance Framework
8
Data Accessibility Data Availability Data Quality Data Consistency Data Security Data Auditability
Standards Policies & Processes Organization
Data Definitions
& Taxonomies
Master/
Reference Data
Data
Definition
Monitoring
& Measurement
Roles
& Responsibilities
Training
& Education
Text Here Text Here Text Here Text Here Text Here Text Here
Text Here Text Here Text Here Text Here Text Here Text Here
Data Integration Infrastructure
The framework focuses on
timely, reliable, meaningful,
and enough data services,
focusing on what data
attributes should be achieved
based on the data attributes of
Big Data services
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9. Data Governance Roles & Responsibilities
9
Executive
C-level Managers
Data Governance Partners
(Includes IT, Information
Security, Risk Management,
and Compliance)
Support
Operational Data Stewards
(Includes Data Users)
Operational
Data Domain Stewards,
Data Steward Coordinators
Tactical
Data
Governance Council
Strategic
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10. Ways to Establish Data Governance Program (1/2)
10
Assign
› Determine who will develop,
implement, & manage the data
governance program
› Roles, Responsibilities,& Scope
of Authority
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Implement
› Put in place policies,
Procedures,& Processes
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Plan
› Identify requirements
based on regulatory &
legal mandates
› Establish Business Best
Practices, & Organizational
Policies
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Monitor
› Track the status of rule
enforcement on an ongoing
basis
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Decide
› Establish Rules to Help
Meet those Requirements
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Assess
› Evaluate the success of your
data governance
› Make changes when necessary
to increase its effectiveness
› Text Here
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11. Ways to Establish Data Governance Program (2/2)
11
Data
Governance
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
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12. Data Governance Improvement Roadmap
12
04
Ongoing Audit & Maintenance
› Schedule ongoing audits & reports
› Monitor third party data providers
01
Discovery
› Gain understanding of existing processes
› Gap Analysis
› Roadmap execution creation
02
Documentation Gap Remediation Validation
› Document recommendations to best practices
› Perform impact simulation
03 Monitoring & Reporting
› Develop ongoing monitoring & quality reporting
› Develop & Document protocols

13. Data Governance Icons Slide
13

14. Additional
Slides
14

15. Timeline
15
2015
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2016
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2017
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2018
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2019
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2014
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16. 16
About Us
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Target Audiences
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Preferred By Many
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Value Client

17. Venn
17
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18. Our Team
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Designation
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Designation
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Designation
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19. Bulb and Idea
19
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20. 20
Our Target
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Mission
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Vision
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Goal

21. Pie Chart
21
Product 01
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Product 02
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Product 03
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70%
60%
50%

22. Our Mission
22
Target 01
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Target 02
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Target 03
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Target 04
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23. Financial
23
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Minimum
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Maximum
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Medium

24. Comparison
24
Facebook user
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90%
Twitter user
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70%
LinkedIn user
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60%

25. 25
Thank You
Address
# street number, city, state
Contact Numbers
0123456789
Email Address
emailaddress123@gmail.com