The availability of reliable data that is easily interpreted is vital for companies to make informed decisions and enhance marketing campaigns. Inadequate data management practices could cause data sets to be incompatible as well as inconsistent data and poor quality data. This can hamper the performance of BI applications and analytics and lead to flawed conclusions. By following these best practices, you can enable companies to unlock the full potential of their data and achieve higher efficiency in their operations.
1. Make data governance and quality the top priority.
It is essential to ensure that all stakeholders are using the same definitions for every dataset. This will prevent data from being differently interpreted or used by different teams. It is also helpful to set up procedures to monitor and audit the quality of data.
2. Make sure that your data is stored in the correct format.
The right formats make it easier to access and process data with computers. This makes it more useful for analyses. It is important to establish an automated process for regularly exporting and storing data in order to easily be restored in the event of a system breakdown.
3. Remove duplicates and unnecessary data.
It is difficult to keep up with this task. can be a challenge but it is crucial to periodically review and delete duplicate data that is no longer needed. This not only reduces the amount of storage required and can help to keep the data organized and suitable for analysis and reporting.
