The quality of your data plays a significant role in how well-informed your decisions are. Unfortunately, it can be quite difficult for the untrained eye to recognise this, and consequently, very easy to be dragged into a cycle of suboptimal decision after another. There are several pitfalls that could pull you into this vortex of unknowing bad decisions, including data entry issues, missing data, and data duplication. Overcoming these issues is a shared responsibility which can be achieved through adopting a data culture and improving your data literacy.
It is widely accepted that data scientists spend 80% of their time cleaning data, and only 20% of their time generating insights. We have the expertise onboard to provide you with data cleaning services, but more crucially, we can also help you mitigate the need for extensive amounts of data cleaning by providing you with the understanding of what high quality data entails.
Data quality is not measurable on some sort of scale, but there are several attributes that help you determine whether your data quality is up to scratch. Is your data accurate, coherent, complete, and reliable? Is your data relevant to your specific use case and for the current point in time? Is it consistent throughout your database, or is it possible to find contradicting pieces of information? Are definitions of data entities consistent throughout your entire organisation? We can help you figure out how to properly ask these questions of your organisation, and how to properly seek the answers to them.