Bad Data Quality costs you 15,000,000 Euro annually
That’s what Gartner revealed in their research – and we can confirm this from our practice. Faulty data hinders companies in automating their processes. It leads to inaccurate reports and binds resources for cleansing.
If you want to gain control over your data, you need a Data Governance. A combination of responsibilities, data roles and tools.
In this Whitepaper, we explain:
- Why issues around data occur in the first place and which impact they have on your businesses
- How a Data Governance gives you back control over your data landscape
- Which roles, responsibilities and tools are necessary to implement a Data Governance
Data used to be the “new oil” for companies. Now it is the air we breathe.
If companies do not have their data under control, digitalisation is not possible. No automated processes, no new insights from analyses and reporting, and no fact-based decisions.
But why is it so difficult to establish good governance for data?
Unlike static assets such as production lines or IT systems, data is dynamic. It is generated in one place and processed, changed and misappropriated in many other places.
It requires a comprehensive governance approach that integrates data into the organisation through new roles, modern software architectures and tools with a holistic framework.
This is the only way for companies to utilise the full potential of their data.