Autonomous Data Management
Incomplete data was stored across 35 different systems and employees spent a lot of time checking data to ensure it was the correct information. The challenge was their Business Intelligence team were spending up to 50% of their time checking and revalidating their data before produced any reports.
Data was everywhere and business employees were spending 50% of their time checking their data and filling in missing info to be able to complete reports.
Business leaders also didn’t trust the data being provided and would also double check the data.
CluedIn streamlined their disparate data and improved the data quality score from a 1 to an 8 out of 10 and saved 48 hours per week in manual data management work .