Enabling trust with data quality
Data quality is a cornerstone of business operations in the organization, and it is affected by the way data is entered, stored, and managed. The reason for a lack of confidence in information is because information is pervasive across the organization. We are dealing with fragmented silos of data that were accumulated through many years, without data quality measures and without being organized in a way that makes sense to the business.
High-quality data is essential for high-quality outcomes for any analytics we perform using the data. Data quality entails the following:
- Completeness: Having a good understanding of all the related data assets.
- Accuracy: Common data problems such as missing values, incorrect reference data, and so on that must be eliminated so that we have consistent data.
- Availability: Data must be available on demand.
- Timeliness: The up-to-dateness of the data is crucial to making the right decisions.
