Business-First Master Data Management, Data Governance and Data Integrity solutions for Africa


We are data integrity Specialists!


Over more than fifteen years, we have enabled leading African organisations to get data right!



Our business-first approach prioritises the needs of the business over any other considerations using data.

We apply our fifteen years of data integrity expertise to solve the immediate data problems that are blocking your business while building a scalable and sustainable enterprise capability to enable the digital, data-driven enterprise.

Overall, our business-first approach to data management is focused on using data to drive business value and support the organisation's success.

Table of Contents

At Masterdata, we understand that master data management (MDM) is more than a technology problem.


Monetising Data, Without Data Integrity

Monetising Data, Without Data Integrity

Monetising Data, Without Data Integrity

... is like racing through the streets of Jo'burg ...

... is like racing through the streets of Jo'burg ...

... is like racing through the streets of Jo'burg ...

...without fixing the potholes!

...without fixing the potholes!

...without fixing the potholes!

Slow, frustrating and expensive

Stop hitting data potholes

Stop hitting data potholes

Stop hitting data potholes

The surest way to monetisation is through data integrity!

IDC Research shows that higher levels of data integrity drive positive improvements across key business metrics.

From improving customer satisfaction to increasing business agility to reducing risk and increasing revenue - recent IDC research shows that investments in data integrity drive improvements across the business!

Conversely, a lack of investment in data integrity has a direct negative impact on costs and revenue.

Delivering Master Data with Integrity

 We blend consulting, education and technology to provide a complete business solution to master your data

Our business-first approach to Master Data Management

At Masterdata, we understand that master data management (MDM) is more than a technology problem.

Our more than twenty years of experience have taught us to take a business-first approach to deliver master data management, prioritising data integrity to provide the best results.

Our MDM approach enables key business outcomes by ensuring that critical data is accurate, consistent and complete. By aligning the MDM strategy with our client's overall business strategy, we help them manage their data assets more effectively, improving operational efficiency, reducing costs, and driving better decisions.


Working for Our Customer's Success




Absa Capital Case Study

When Absa Capital needed to improve client static data quality they turned to Master Data Management and Precisely Trillium

"We  wanted partners with both strong technology and solid local expertise, and MDM and Trillium Software met our requirements"

Ian Kriegler, CIO, AbCap

Capitec Case Study

  "We needed a data governance solution to help us manage the risk around this and effectively organize our data to enable it to be used for business insight"

Manrich Kotze, Data Governance Lead, Capitec Bank

Within three months, Master Data Management implemented a data catalogue and automated data lineage capability that allows Capitec to visualize its entire data landscape as never before. This ability to rapidly assess the impact of planned changes in their data environment has helped Capitec boost business agility and optimize data processing. 

Business First Data Management

BARC Research shows that executives openly articulate the need for their organizations to be more data-driven but practitioners struggle to deliver trusted data.

Our approach involves understanding the business objectives and using data management practices to support those objectives. It requires an understanding of the business processes and a willingness to collaborate with different stakeholders to ensure that data is managed in a way that meets the needs of the business.

For example, a business-first approach to data management might involve developing data governance policies and procedures that support the organization's goals, implementing data quality controls to ensure that data is accurate and reliable, and using data analytics to provide insights that can help the business make more informed decisions.  We help organisations to prioritise their data investments for sustainable business improvement

4 pillars to align business and data 

Unlocking the value in your data


"Trust comes through transparency provided by intelligence about data backed by enrichment to provide context and deliver integrity." - IDC

Data Management frameworks and accelerators

Leverage our 15 year's experience

 Our Partners

Upcoming Events

07 Dec 2023;
08:00AM - 09:00PM
Enabling Real-Time Data and Analytics: Key Considerations and Best Practices
12 Dec 2023;
08:00PM - 09:00PM
Data Management Best Practices

Read our Blog

Data Quality Matters

Data integrity - Unlock the value in your enterprise information asset
  • What is the importance of data lineage in certifying a report?
    Report certification is a meticulous process that ensures the reliability and credibility of data used in decision-making. This process encompasses verification, validation, and authentication of data, fostering transparency, enhancing accountability, and providing a basis for benchmarking. Data lineage plays a pivotal role in report certification by maintaining data quality, demonstrating regulatory compliance, aiding issue resolution, facilitating impact analysis, and supporting risk mitigation.
  • Time to Reinvent Data Governance
    Data governance, the process of establishing processes, roles, policies, and standards to manage data, is experiencing a significant shift in response to an ever-exanding data landscape. Traditional methods are proving inadequate due to data explosion, big data impact, and the rise of unstructured data. Consequently, a reinvention of data governance, focused on agility, automation, and adaptability, is being hailed as paramount for organizations. Newer methods include the Agile Data Governance model, Data Governance as a Service, and Data Governance 2.0 that aim to enhance data accessibility, reduce costs, and streamline decision-making.

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