The Challenge

"No data is better than bad data" is a widely used quote within the data industry. The point it raises is that business decisions made from bad data can potentially have catastrophic consequences, whereas having no data should mean the first port of call is to gather data so that decisions can be made.

This is where issues regarding extracting data and gaining insight for business intelligence begins.


A common challenge in industry with drawing insights from extracted data is the formation of data siloes. This tends to happen when functions within a business manage their own data, decentralised from other teams in the business.

If extracted data does not land in a centralised location, it would have to be managed in separate containers, where these containers would be managed by the teams within the business that most relate to that data. This is where data siloes can form.

What’s Next