What can I do about poor data quality?

Many people are unsure of their data quality. For example, some data may be missing, things are named differently, or not all cases are reported in the "right" way, which makes it difficult to get an accurate and reliable picture of the business.

Your data is of higher quality than you think!

First of all, your data is almost always higher quality than you think. Data quality does not have to be perfect for you to benefit from it. Depending on how you approach your follow-up, it doesn't matter if things are named differently, or if certain parts are missing. In these cases, it is often a good start to work with lump sums to get an overall picture, and as the organization gets better at working with and collecting data, the exact figures will come into place.

If you want to wait with analysis and monitoring until all the data is perfect, you will probably never get started - the most important thing is to start somewhere, and better now than later.

If you still want help with quality control of your data to see if it's of high enough quality to start working data-driven, we at Homepal can help you. Email us at hej@homepal.se