Mounting costs to generate seemingly simple reports had already started impacting the trust of the business partners. To compound the problem, users lost confidence in the information provided by the reports because of poor data quality due to problems with the upstream processes. Users started evaluating alternate solutions.
The company had a full Business Intelligence suite, with tools for ETL, data quality, data transformation and visualization. Technology however, unless applied right, is of no use. Buying software is just one step in applying Analytics to data.
The user community was very comfortable handling raw data and using tools like Excel to generate the information they needed. However such tasks required extensive and recurring manual effort. Users were not exposed to the analytical capability of the Business Objects toolset. They had not realized the possibility of eliminating recurring manual tasks which would enable them to focus more on analyzing data for effective insights quickly.