Generative AI Boost Data Governance and Quality- Tejasvi Addagada

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Generative AI
Boost Data Governance
and Quality
Presented by
Tejasvi Addagada
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Elevate Your Business Strategy
with Data Management Frameworks
Many business leaders underestimate how impactful a
good data framework can be. Having worked on several
transformation projects myself, I have seen how data
inconsistencies and poor governance can lead to millions
in losses. A structured approach not only prevents such
losses but also unlocks business intelligence that fuels
innovation.
www.tejasviaddagada.com
Data is more than just a byproduct of operations. It is the
backbone of business success. To harness the full potential
of data, companies must build a strong Data Management
Framework. This strategic structure helps manage data
effectively, ensuring its accuracy, security, and usability
across all departments.

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How to Implement
Effective Data Management Frameworks?
1.Data Governance Strategy: Define how data is
collected, stored, shared, and protected.
2.Roles & Responsibilities: Assign ownership
across departments (data stewards, analysts, IT).
3.Data Lifecycle Management: Address how data
is archived, deleted, or reused.
Implementing a data management framework is not just about choosing the right software. It requires a mix of
policies, people, processes, and tools.
1.Privacy Enhancing Technologies (PETs): Protect
personal and sensitive data during processing.
2.Data Quality Monitoring: Automate checks to maintain
consistency and reliability.
Key components include:
Real success lies in integrating these elements into your business culture and processes.

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Steps to Create
A Robust Data Management Framework
1.Assess Current Data Landscape- Identify what data
exists, where it resides, and how it’s being used.
2.Define Business Goals- Align data strategy with your
long-term business objectives.
3.Design a Data Governance Strategy- Create policies for
access control, security, and compliance.
4.Implement Privacy Enhancing Technologies- Use
technologies like differential privacy and homomorphic
encryption to secure sensitive data.
Here’s a step-by-step guide to help your business create a strong and sustainable data management
framework:
1.Develop a Data Risk Management Plan- Identify risks
such as data breaches or compliance issues and plan
mitigation strategies.
2.Choose the Right Tools- Invest in platforms that offer
flexibility and scalability for data integration and
visualization.
3.Train Your Teams- Educate staff on data literacy and
framework usage.
4.Review and Refine- Regular audits and feedback loops
ensure the framework evolves with the business.

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7 Essential Data Management
Frameworks
For Business Success
• GDPR/CCPA Compliance Models: Legal compliance
for data privacy.
• NIST Framework: Offers security controls for risk
management.
• BCBS 239: Financial risk data aggregation
standards.
• DAMA-DMBOK: Comprehensive guidance on data
governance and operations.
• COBIT: Focuses on IT governance including data
control.
• TOGAF: Helps align business strategy with IT.
• CDMC (Cloud Data Management Capabilities):
Cloud-specific data best practices.
Several proven frameworks can guide businesses in data management:
Each framework addresses different needs and sectors, so choosing the right one depends on your business
type and compliance needs.

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How to Optimize Your
Business
with Data
Management
Frameworks?
Optimize by:
• Automating data entry and cleaning.
• Integrating real-time analytics dashboards.
• Using AI-based tools for data governance and
monitoring.
• Encouraging cross-functional teams to leverage
the same data assets.
Optimization involves continuous
improvement. A data management
framework isn’t a one-time project—it’s a
living system.
6 Data Management
Frameworks
to Boost Your Business
Growth
• Enhance Operational Efficiency
• Improve Data Accuracy
• Support Strategic Decisions
• Ensure Compliance
• Reduce Data Risks
• Boost Customer Trust
Here’s how data frameworks can contribute
to scaling operations:
Businesses that prioritize data governance report
faster decision-making, better marketing ROI, and
improved customer experience.

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Unlock Business Potential
With Data Management Frameworks
Think of a data management framework as the blueprint for turning raw data into valuable
insights. Whether you're in finance, healthcare, retail, or manufacturing, the benefits are
universal. With privacy enhancing technologies and a sound data governance strategy,
companies can mitigate risks and create a competitive edge.

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FAQs
Q2. How Can Data Management
Frameworks Drive Business
Success?
Q4. What Makes a Data
Management
Framework Effective?
Q3. Why Do Businesses
Need Data
Management
Frameworks?
Customer Engagement
By ensuring data quality, security,
and accessibility driving better
decision-making.
Clear governance,
automated tools, skilled
personnel, and continuous
monitoring.
To comply with regulations,
improve operational
efficiency, and manage
data as a valuable asset.
Assess your business goals,
industry compliance needs,
and data complexity before
selecting.
Q1. What Are the Best Data
Management Frameworks for
Businesses?
DAMA-DMBOK, CDMC, and
COBIT are among the most
trusted frameworks in
various industries.

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A well-designed Data Management Framework is not a luxury. It is a necessity for
businesses operating in the data-driven world. It enables organizations to ensure data
quality, improve decision-making, and maintain compliance with evolving regulations.
Conclusion
Combined with data risk management techniques and privacy enhancing technologies,
businesses can not only safeguard their data assets but also unlock new growth
opportunities. Whether you're just starting or refining your existing processes, this
framework lays the foundation for long-term success.

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Address
Airoli Knowledge Park Road, Dighe, Green World, vitawa, Airoli, Thane, Maharashtra
400708, India
Contact Us
Email
Tejasvi@tejasviaddagada.com

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Thank
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You!
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Generative AI Boost Data Governance and Quality- Tejasvi Addagada

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