Data governance - High Level Insights in 12 slides

1. Data Governance – An Insight
Vivek Mohan
15-Dec-2019

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. − 3 −
Need for Data Governance
Guides Various
Analytical Activities
Solves Analysis &
Reporting Issues
Ensures Data Consistency,
Reliability & Repeatability
Enables
Saving Money
Provides Clarity on
Conflicting Data

4. − 4 −
Why Companies Suffer with Data Governance
• Applications and data are unable to communicate to one another, and this must be
addressed up front and planned for in any integration initiative
Data Quality & Data
Migration Integration
• Applications and data are unable to communicate to one another, and this
must be addressed up front and planned for in any integration initiative
Accountability &
Ownership of Data
• Inability to handle the data leads to huge costs to the firmCost
• Different groups within an organization are unable to effectively
communicate and coordinate with one another
Organizational
Issues

5. − 5 −
Manual Way of Data Governance
A manual data governance process is shown below
CRM Manual Quality Checks
Manual Monitoring Manual Modifications
Data Warehouse
CRM ERP

6. − 6 −
Automated way of Data Governance
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

7. − 7 −
The Framework
Data
Accessibility
Data
Availability
Data
Quality
Data
Consistency
Data
Auditability
Data
Security
Data definitions
& taxonomies
Master/
reference data
Data definition
Monitoring &
measurement
Roles &
responsibilities
Training
& Education
Standards Policies & Processes Organization
Data Integration Infrastructure

8. − 8 −
Roles and Responsibilities
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)

9. − 9 −
The steering committe
Executives
Business & Technical
Members (Owners)
Business & Technical
Stewards & Custodians
Consumers
Data Governance
Council (DGC)
Data Governance Steering
Committee (DGSC)
Data Stewardship
Team (Virtual)
End
Users

10. − 10 −
Way to establish Data Governance Program (1/2)
Ways To Establish Data
Governance Program (1/2)
Assign
• Determine who will develop,
implement, & manage the data
governance program
• Roles, responsibilities,& scope
of authority
Decide
• Establish rules to help meet
those requirements
Plan
• Identify requirements based
on regulatory & legal
mandates
• Establish business best
practices, & organizational
policies
Implement
• Put in place policies,
procedures,& processes
Assess
• Evaluate the success of
your data governance
• Make changes when
necessary to increase its
effectiveness
Monitor
• Track the status of rule
enforcement on an ongoing basis

11. − 11 −
Way to establish Data Governance Program (2/2)
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
Data
Governance

12. − 12 −
Data Governance Maturity Model
Time
Basic
Immature Policies
and Procedures
Standardized
Established
Policies
and Procedures
Rationalized
Process and
Procedure
Improvement
.
Dynamic
Process
Transformation and
More Integrated
Compliance Efforts
.
Resource &
Technology Investment

13. − 13 −
Improvement Roadmap
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