For manufacturers, Data Governance is the difference between using good data to steer your organisation into the future – strengthening supply chains, introducing automations, boosting profitability through efficiency, keeping up with compliance – and having bad data scupper your plans for digitisation (not to mention the risks of falling foul of regulations).
So how do you implement it? Data Governance may be different for every manufacturer, but there some key aspects that every Data Governance initiative needs to thrive. Here are 6 tips to implementing successful Data Governance.
1. Address your Data Quality first
Data Quality and Data Governance go hand in hand. Data Governance may be essential to making sure that Data Quality is maintained over time, but it’s also a good idea to introduce a Data Quality initiative before you embed your governance framework. A Data Quality will project will help you identify what data you need and what ‘good data’ looks like for your organisation, making it easier to ascertain the behaviours and processes needed to keep that quality up in the long term.