Data Optimization
When data are scattered across multiple systems, inconsistencies, omissions and inaccuracies are expected. The data optimization process standardizes, consolidates and enhances data so it's more insightful, actionable, and useful.
This illustration shows how performance data from any source can be combined with the billing record. This linearization presents a number of opportunities for both automation and insights.
In this case, pushing optimized records back to the billing system eliminates the need to manually load performance data at month's end. This reduces errors, avoids over-billing and accelerates cashflow. The same record can go to the data team for analysis. The enhanced revenue record allows the data science team to gain greater insights into revenue and profitability across the portfolio.
