Training on Big Data Governance: Bad Data or Better Data or Best Data
Learn how to manage big data quality, compliance, and governance to drive better decision-making and business outcomes.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
In today’s data driven environment, the quality, governance, and integrity of data are essential for effective decision making, operational efficiency, and regulatory compliance. Poor data management can result in inaccurate insights, increased risks, and reduced organizational performance, while strong data governance enables organizations to improve accountability, innovation, and competitiveness.
This course provides participants with practical knowledge, frameworks, and tools for strengthening data governance, improving data quality, and ensuring the integrity and security of organizational data assets. Through practical exercises, case studies, and real world applications, participants will learn how to establish governance structures, implement data quality standards, manage compliance requirements, and maximize the strategic value of big data.
Duration
5 Days
Who Should Attend
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Data governance officers and data stewards
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Chief Data Officers (CDOs) and senior data leaders
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IT, data science, and analytics professionals
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Risk, compliance, and audit managers
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Business leaders overseeing digital transformation and big data projects
What you'll walk away with
By the end of this course, participants will be able to:
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Define the importance of governance in big data environments.
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Distinguish between bad data, better data, and best data practices.
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Apply data quality frameworks for accuracy, consistency, and completeness.
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Develop governance models to manage big data at scale.
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Ensure compliance with global standards and regulations.
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Build organizational roadmaps for sustainable big data governance.
What we cover, module by module
Module 1: Foundations of Big Data Governance
- Understanding the growth of big data and emerging governance challenges
- Characteristics of poor, improving, and high quality data environments
- The strategic importance and business value of data governance
- Case Study: Organizations impacted by weak data governance practices
- Practical: Assess data governance maturity within a sample organization
Module 2: Data Quality and Integrity Management
- Principles and dimensions of data quality management
- Identifying, analyzing, and mitigating data quality issues and errors
- Tools, standards, and frameworks for maintaining data accuracy and integrity
- Case Study: Data quality failures and their impact on decision making
- Practical: Conduct a data quality assessment and improvement exercise
Module 3: Data Governance Models and Frameworks
- Centralized, decentralized, and hybrid governance approaches
- Roles and responsibilities of data stewards and governance teams
- Designing scalable and sustainable governance frameworks
- Case Study: Successful implementation of enterprise data governance frameworks
- Practical: Develop a governance structure and stakeholder responsibility matrix
Module 4: Compliance, Security, and Risk Management
- Key regulatory and compliance frameworks including GDPR, CCPA, and ISO standards
- Data security, privacy protection, and risk management practices
- Managing governance risks in complex data ecosystems
- Case Study: Governance and compliance failures in big data environments
- Practical: Perform a data governance risk and compliance analysis
Module 5: Transforming Data from Bad to Best
- Developing strategies to improve data quality and governance maturity
- Establishing governance metrics, KPIs, and performance monitoring systems
- Embedding continuous improvement into data governance practices
- Case Study: Organizational transformation through effective data governance
- Practical: Capstone exercise: Design a big data governance and transformation action plan
Where the change lands
Organization Impact
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Reduced risks of poor data quality and non-compliance
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Improved decision-making from reliable, governed data assets
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Stronger trust in organizational data systems
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Greater competitiveness through optimized big data practices
Individual Impact
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Enhanced skills in data governance and quality management
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Practical tools for managing big data integrity and compliance
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Ability to transform organizational data into actionable intelligence
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Career advancement in data management and governance roles
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
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For corporate teams
Training 10+ professionals?
We deliver Training on Big Data Governance: Bad Data or Better Data or Best Data in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.