Tips and tricks to assess and prioritize needs for collected and optimized data?

Michelle Knight

Tips and tricks to assess and prioritize needs for collected and optimized data?

Sutton Bank, in a case study reported by DATAVERSITY, needed to make complicated transactions easier due to a technical shift towards more demand for payment and card services. The company identified three areas where they needed to see improvement.

  • Increasing the speed at which new client data was added to the system
  • Improved fraud reporting and regulatory compliance
  • Greater flexibility and expanded choices for data end-users

What tips and tricks do companies use to keep only a small manageable list of smart data needs?