Why it Matters

  1. When pulling data from multiple sources, it’s nearly impossible for all data elements to match up exactly, and it’s the simple things that can make all the difference

    For example:  when January 12, 2017 doesn’t equal 1/12/17 on two separate data sources, it can be impossible to identify transactions that happen on the same day

  2. Clean data is the foundation to visualizations and accurate dashboards

  3. Data cleansing integrated with the analytics and visualization tool makes adding new data seamless and easy

 

Oh, and sometimes you need to protect the data too…our data masking capability can take client sensitive information and quickly make it undetectable to protect those who are counting on you.

If you’re one of the 80% that just wants to play with results, we can configure the correct data settings and filters during implementation, for the 20% that love that kind of stuff, we’ve made cleaning data and sharing with your colleagues super easy!