We are fixated on robotics, Artificial Intelligence, and analytics. But without quality data, nothing matters.
We need to get the basics in place before we can productively use the latest technologies available to us. Having said that, very few companies have a data governance model in place. The notion to focus solely on data cleansing means that we will waste valuable time and resources as we will run into the same problem over and over as the root causes are not addressed.
Poor data quality is costing your company dearly. Companies choose not to measure or monitor the impact of bad data. It is time to get the basics in place to leverage the latest technology. Delivering good quality data to aid management in decision-making is paramount for any organisation.
The following 6 steps will lay the foundation for good quality data:
- Get visible senior leader sponsorship
- Determine the baseline status of your data
- Establish critical data quality roles
- Deploy a data quality framework
- Launch data improvement plans / projects
- Measure the progress of data quality
Use our experience to get you setup for success and show results quicker than you expected
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