You are working for the company and have seen some good outcomes from meetings to improve data.
But you noticed that turning a meeting outcome into operational efficiency is a hard thing to implement when you have piled up too many organisational issues around data.
The sum of organisational data issues is so large that you need a data governance programme to put everything back, straight into data management knowledge areas.
To break the code of bad practices, you need to identify priority data issues and implement guided principles of data management. This requires correcting the data issues with the right mix of trained people, processes and technologies.
Having a “no data governance” emergency state affects company reputation and turns your data into a liability.
Having a data strategy in place sets high company standards and stakeholders can expect reliable data.
For a CEO, it means trusting the data sitting behind profitability and performance reports.
For a GDPR department, it means dealing with data privacy legislation and security compliance of personal data records.
For a data analyst, it means producing metrics with reliable data sources and not having to worry about data quality issues.
Don’t leave your data in a poor state and start identifying the issues around your “no data governance” situation.
Scattered technologies have overshadowed the priority for a data governance approach.
Your mind is corrupted with too many data solutions over the years, but you have the capacity of changing behaviour - then talk to us.
If you do nothing with your data governance, what happens to your business reputation?
Pay attention to your data consumers; they can judge your reputation. Fix your data issues.
Start with data management knowledge areas where your data has turned into a liability.
Don’t let your data crumple up to such an extent that you can’t distinguish good from bad data.