Non-Invasive Data Governance Framework to Improve Data Maturity

How the Non-Invasive Data Governance Framework helps companies move forward

Increasing digitization is challenging organizations to manage their data efficiently, comply with regulations, and ensure high data quality. Data governance plays a critical role in providing clarity about enterprise data, processes, responsibilities, and accountabilities. But how do you establish sustainable data governance without disrupting existing processes?

This is where the Non-Invasive Data Governance (NIDG) framework from Robert S. Seiner comes into play: Imagine your enterprise data is not an unmanageable pile of information. Imagine it is a perfectly tuned orchestra, with each data point in harmony. The NIDG framework does just that, transforming your data management into a tightly controlled system without disrupting your day-to-day work and existing processes.

What is the Non-Invasive Data Governance Framework?

Developed by Robert S. Seiner, the NIDG Framework is a flexible approach that can be seamlessly integrated into existing processes without disruption or additional effort. Unlike traditional data governance models, which often require significant change and additional work, the NIDG Framework enables the implementation of governance practices in day-to-day operations without disrupting the daily work of your employees.

The framework helps organizations drive their own data governance maturity process and continuously improve their data management maturity. It provides a clear roadmap for improvement and helps move from ad hoc data management to a structured and sustainable approach that is focused on long-term success.

The NIDG framework is based on six core components - data, roles, processes, communication, metrics and tools - that can be applied at five organizational levels. These factors allow each organization to tailor its governance strategy to its specific needs.

Why is data management maturity important?

In this approach, the maturity of data management processes is critical to the ability to ensure data quality, comply with regulatory requirements, and make informed decisions. A higher level of data management maturity leads to improved data quality, better regulatory compliance, and better business decisions. In short, the more mature your data governance, the better you can realize the potential of your data.

In Robert S. Seiner's white paper, "Advancing Organizational Data Governance Maturity with the Non-Invasive Data Governance Framework," the author provides organizations with a comprehensive guide to effectively using the Non-Invasive Data Governance (NIDG) Framework to formalize, promote, and communicate their data governance initiatives, detailing the various core components and levels. By following the strategies and guidelines presented, organizations can significantly improve their data governance maturity, especially in the long term:

How to Determine the Level of Maturity of Data Governance

Before the maturity of data governance can be further developed and appropriate steps defined, it is essential to know the current status.

As a leading software provider for databases, data governance and master data management, we have developed a technical solution together with Robert S. Seiner based on his NIDG framework.

Our Quick Assessment as part of our data governance tool DATAROCKET Guide offers you the opportunity to analyze the current maturity level of your data governance, to identify possible weaknesses and to implement targeted improvement measures.

Want to test our tool? Register here and we will send you more information.