All Enterprise Applications are processing data: either master data or transactional data. An optimal data strategy is the basis of an optimal enterprise application landscape: no matter if the business is relying on one large single ERP instance or on a bundle of multiple different applications combining ERP, CRM, PLM, SCM and other functional areas, sub-optimal data structures, poor data quality, unmanageable quantity, non-transparent processes, unclear responsibilities, duplicate records and unreliability, always lead to significant extra effort for the business processes.
Though this is more often than not measurable directly, it does not only increase your process cost but also may weaken your overall competitive position.
How BearingPoint brings value
During system implementation projects, data migration tasks are very often anticipated as the unwelcome one-time tasks, to take care of how to transfer as little data as possible from the legacy system to the new system. Most often there is not enough time for cleansing or remediation.
Talking to both IT and related business leads – integrating all requirements – especially reorganizing processes, ownership and responsibility, is a challenge in every company starting a serious data strategy initiative.
Our data experts at BearingPoint have a broader view on data and understand their value as strategic asset. They went through all phases of MDM projects, are familiar with internal processes and know how to organize cross business-unit or cross-country data management.