A Step-by-Step Guide to “Good” Data Governance
Data Governance comprises a complex framework, and our team of data experts is here to guide you through every step, ensuring no loopholes in your data strategy.
- Defining Your Concern
- Choosing the Best Route
- Designing Custom Model
- Pilot Project
- Reporting and Auditing
Trusted By
Why Data Governance Matters?
Absence of Data Governance vs Impact of Data Governance Practices
Before
Poor Data Quality
Data Risks
Scattered Data Sources
Regulatory & Compliance Concerns
Data Governance Framework In An Enterprise
After
Streamlined Data Strategy
Data-Safe
Unified Data Pipeline
Strong Data Governance & Compliance Framework
A Step-by-Step Guide to “Good” Data Governance
Data Governance comprises a complex framework, and our team of data experts is here to guide you through every step, ensuring no loopholes in your data strategy.
Defining Your Concern
- Define and articulate vision and scope, including business value and metrics.
- Document the short-term and long-term objectives and align them to the data strategy.
Step 1
Choosing the Best Route
- Understand how data is used today and how it drives processes and how the data flows, dependencies and integrations.
- Get a clear state of the business outcomes you want to achieve.
- Identify the things we’ll need to do to enable the desired change.
Step 2
Designing Custom Model
- Identify and align the highpriority business challenges that can be addressed through more effective use of data.
- Apply Data Governance principles to granular problems to incrementally build a data culture that spreads across the enterprise.
Step 3
Pilot Project
- Execute on a small, high-value use case.
- Communicate and socialize the outcomes, establishing a land and expand approach.
Step 4
Choosing the Best Route
- Understand how data is used today and how it drives processes and how the data flows, dependencies and integrations.
- Get a clear state of the business outcomes you want to achieve.
- Identify the things we’ll need to do to enable the desired change.
Step 5
Defining Your Concern
- Define and articulate vision and scope, including business value and metrics.
- Document the short-term and long-term objectives and align them to the data strategy.
Step 1
Choosing the Best Route
- Understand how data is used today and how it drives processes and how the data flows, dependencies and integrations.
- Get a clear state of the business outcomes you want to achieve.
- Identify the things we’ll need to do to enable the desired change.
Step 2
Designing Custom Model
- Identify and align the highpriority business challenges that can be addressed through more effective use of data.
- Apply Data Governance principles to granular problems to incrementally build a data culture that spreads across the enterprise.