Case Study: Bank of America achieves faster, more efficient forecasting and reporting with SAS Enterprise BI Server

A comprehensive environment for more efficient forecasting

Bank of America’s credit card services group, led by VP Jessica Dunn, faced slow, error-prone forecasting and reporting processes that relied on manual Excel/Access workflows and externally built OLAP cubes that could take months. The team needed to deliver forecasts faster, with greater accuracy and efficiency to better support finance and executive decision-making.

They implemented SAS 9.2 and the SAS Business Analytics Framework — notably SAS Enterprise BI Server and SAS Enterprise Guide — to automate forecasting, build cubes in-house, and publish web reports and dashboards. The new environment cut reporting from three days to three hours, reduced cube-build cycles from months to days, saved weeks in quality-control work, and freed analysts to focus on insight and decision support, positioning the team for broader adoption across the bank.

Bank of America

David Ribar

Vice President, Consumer Product Strategic Analyst