Digital, economical, and resilient – these are the demands that opta data claims not only for its products and services, but also places on its internal processes. The ever-increasing responsibilities confronting the process management team, in conjunction with other key disciplines such as quality management, data and occupational safety, as well as risk management, has clearly highlighted the need for an intuitive, scalable, and integrated management tool. Previous solutions using Microsoft Visio®, Excel® and other Office applications caused significant effort due to redundant data input and needed to be replaced by a more efficient alternative.
- High demand for an integrated management solution with database-driven process modeling and an easy-to-use process structuring.
- Desire for tool-based support of a continuous improvement process to create smooth and efficient process flows.
- Ensure up-to-date information and auditability without high costs through automated versioning and archiving.
After an intensive tendering process and a final use-of-potential analysis, GBTEC's full-stack BPM solution BIC Process Design emerged as the clear winner. The implementation of BIC Process Design enabled opta data to drive a stronger end-to-end mindset in its core business and core service processes, contributing to an increased customer focus and improved cross-team collaboration. By actively involving decentralized process participants in process modeling with centralized review by the process management team, opta data was able to significantly accelerate process development and ensure higher process quality.
- Establishment of the process management department at opta data as an "internal consultancy" that guides the path to operational excellence.
- Active involvement of participants in the continuous improvement process promotes a transparent understanding of services and enables cooperative process development.
- Calculation of process parameters and incorporation of KPIs in process models lead to an easier identification of inefficiencies and an objective evaluation of optimization efforts.
