Collaboration Model by the Numbers
The Customer
Leading Automaker â Realignment of the Company-wide Analytics Landscape
The client, a leading international automaker, was facing rapidly increasing complexity in its data and analytics landscape. Growing data volumes, overlapping siloed solutions across various business units, and an existing loose coalition of âanalytics silosâ without focused areas of action were preventing efficient, proactive data utilization. The goal was to develop a collaborative model, eliminate siloed solutions, and establish a sustainable organizational structure for analytics governance.Â
The Project
Developing a Collaboration Model â Target State, Maturity Model, and Transformation Roadmap
The transformation project was divided into two sequential phases. In the first step, KBC developed a strategic vision for the company-wide analytics network. Based on the in-house maturity model âStages of Excellenceâ and a thorough gap analysis along the Information Value Loop, the team identified, prioritized, and detailed the key areas for action, which were then translated into a binding implementation roadmap.Â
The second phase of the project focused on the operational and structural design of a central analytics function. This involved first identifying qualitative and quantitative targets, structuring existing use cases, and eliminating redundant analysis requests. Building on this, KBC designed various organizational scenarios with varying degrees of centralization and defined precise roles, responsibilities, competencies, interface agreements, and specific staffing requirements. A multi-day kickoff retreat attended by 25 key individuals from the network marked the official launch of this sustainable and jointly supported collaboration model.Â
The result
Joint collaboration model, duplication of effort avoided, funding approval obtainedÂ
In the area of communication and networking, a jointly supported collaboration model was established that fosters a willingness to embrace company-wide change. Networking among relevant stakeholders was strengthened, transparency regarding activities and responsibilities was established, and a focus was achieved on the evaluated company-wide core areas of action in data management and analysis. Duplication of effort and siloed solutions were reduced, efficiency gains were achieved, and funding and resource allocation for implementation were secured. The company is now positioned for future technologies. Individual objectives were taken into account, a structured approach to task execution was established without restricting creativity, and a high pace of implementation for ideas and requirements was achieved.

















