Building strong analytics is more important than ever—starting with your strategyYour company possesses between 1 and 12 million gigabytes of information. Yet, according to Forbes we only use .5% of the business data available to us.
60% of an analytical effort is typically dedicated to data management itself. If you or your audience don’t trust the data going into the analysis, the result of the analysis won’t be trusted either.
Watch now to learn more about the 3 key pillars that build strong analytics:
- Operational Metrics - Impact program efficiency and partner satisfaction with transactional workflow efficiency.
- Program Performance - Identifying successes and isolating problem areas using benchmarks, modifications and more will impact your revenue
- Investment Analysis - Backward-looking metrics provide forward-looking guidance