// Challenges

6 Challenges Of Data Projects

We have identified some challenges that are always lurking when working with data, either before starting a data project or during its implementation. Usually, these challenges can be categorised in 6 different topics.

The requirements and criteria of your project or business environment are likely to change as you gain insights along the way. Flexible, open data modelling is key.

Data usually doesn’t reside in one and the same place. Connecting the internal and external sources and extracting what you need is what we do – and excel at.

Data comes in many shapes and languages, depending on the source. We make sure your data is translated in a common format to enable further processing.

The quality of your report is as good as your worst data. Our methodology enables you to pinpoint the weakest link and take corrective action to eliminate duplicates and errors.

What is done manually, opens the gates to human errors, which replicates throughout your systems. Automated reports save precious resources and avoid mistakes.

Even if you change just one domino, the result has great repercussions further down the line. Our systems’ flow management makes your job easier and safer.

6 Challenges Of Data Projects

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