The symptoms of data pain – and how your organisation can ease them
Data is the central nervous system of your business. Effective data management requires the right systems and processes – and the right conditions for employees to use data correctly.
For many organisations, this challenge cannot be solved by technology alone. It also requires cultural and behavioural change. When data issues arise and workflows stall, a structured approach to data governance may be the answer.
When data becomes a barrier to efficiency
For many companies, data issues trigger the need for a new approach to data governance – the discipline that structures, standardises and improves data quality across the organisation. Solid data governance is not just about technology. It requires shared understanding and a disciplined approach to how data is used. When implemented well, governance ensures that data is accessible, consistent and reliable – reducing frustration and preventing inefficient workflows.
“Although ‘data governance’ can sound theoretical, it is in fact a practical discipline that creates significant value when the right procedures and structures are in place. A strong governance framework ensures that data becomes a natural part of daily operations – while helping to future‑proof the business.”
Lars Lindsby
Senior Consultant, kaastrup|andersen
Common symptoms of data pain
When data becomes a barrier, the signs often show up as:
Difficulty finding data
Large volumes of data, weak search capabilities and inconsistent naming can make it hard to locate information. Clear structure and data housekeeping are essential to maintaining accessible, trustworthy data.
Flagged instead of removed data
Instead of deactivating or deleting outdated information, some organisations simply label data “do not use”. This leads to confusion and visual clutter. A strong data lifecycle strategy helps ensure obsolete data is retired properly.
Data without system support
Free‑text fields can be flexible, but risky. Without structure and validation, free‑text entries make data inconsistent and difficult to use. Validation rules and controlled fields help ensure data is complete and correct from the start.
Incomplete or invalid data
Missing or inconsistent entries often arise when required fields are not filled in correctly. Clear guidelines and validation rules prevent this and support long‑term data quality.
Lack of knowledge and training
When new systems are introduced, users must understand how to use them – and how to maintain data quality. Continuous training and knowledge sharing are essential for ensuring data creates real business value.Data governance – more than technology
Traditional data governance focuses on rights and permissions: who can create, edit or delete data. Modern data governance goes further, ensuring the structures and behaviours that support correct use of data throughout the value chain. When data quality is strong, processes run smoothly and without unnecessary interruptions.
Tips for getting started with data governance
Effective data governance requires clear ownership, strong structure and ongoing follow‑up. A good starting point is defining data roles – including who owns and who stewards data. The data owner sets quality requirements, while the data steward supports training, communication and correct usage.
Structured processes and early validation help detect errors as soon as they occur.
“Defining a lifecycle for data – including how outdated data is retired – helps keep systems efficient and accurate. When data is governed correctly, errors and interruptions are reduced, and confidence in data increases.”
Lars Lindsby
Senior Consultant, kaastrup|andersen
A long‑term solution
Whether your organisation is preparing for a new ERP implementation or working with older systems, data governance is worth the investment. A structured approach helps you get the most out of your systems and enables employees to work efficiently and confidently with data every day.
Want to know more?
Ready to take the next step?
The first steps towards better data involve aligning people, technology and processes. This requires clear ownership, solid structures and ongoing training.
At kaastrup|andersen, we provide dedicated project managers who help organisations achieve precisely that. Our experts identify data roles, ensure follow‑up on data structure and help develop best practice for data and processes.
