Success Stories

Supporting Joint Venture Operation

Industry: Civil Engineering

Results:

  • Consolidated data from three different companies for the baseline implementation.
  • Delivered a complete AS-IS overview of the joint venture's application landscape in SAP LeanIX.
  • Established a foundational data model in LeanIX, based on the existing fragmented data.
  • Enabled application rationalization with targeted dashboards and reports tailored to the JV's specific needs.
  • Provided a scalable, data-driven framework to guide future application rationalization efforts.

Challenge:

When three civil engineering firms joined forces to form a joint venture (JV), they faced a critical challenge: each firm brought its own unique portfolio of systems, applications, and data in various formats, resulting in a fragmented IT- and business landscape with significant overlap and redundancies. Without an Enterprise Architecture Management (EAM) tool in place, the JV lacked visibility in its collective AS-IS architecture, making it difficult to identify and eliminate redundant applications and streamline operations.

Achieving a consolidated view of the JV’s enterprise architecture was essential to set the groundwork for future rationalization initiatives. However, to initiate the rationalization efforts, the JV required expert assistance to assess the existing scattered data and implement a baseline EAM tool capable of managing the consolidated application landscape.

Solution:

We, at Konfident, were engaged to lead the baseline implementation of SAP LeanIX, focusing on delivering an EAM solution that would address the JV’s needs for an overview of the consolidated AS-IS enterprise architecture and set the stage for future application rationalization efforts. The implementation focused on defining and configuring a tailored data model from scratch that would support the JV’s specific objectives, particularly in mapping business capabilities to applications. Key elements of the solution included:

  • Identifying relevant and available data sources from the existing and available fragmented data in various formats
  • Defining and configuring the target data model, so that it ensures that the data is of high quality and completeness.
  • Populating and mapping data in LeanIX to support data-driven decision making based on accurate data, with a focus on applications and business capabilities.
  • Creating tailored dashboards and reports that would enable the JV to initiate application rationalization in the future.
  • Establishing guidelines and conventions material for the ongoing use of SAP LeanIX.

By aligning the baseline LeanIX implementation with the JV’s rationalization agenda, we, at Konfident, ensured that the LeanIX implementation was configured to the JV’s current and consolidated architecture and future goals. Thus, enabling a data-driven approach that empowers the JV to make informed decisions about their application portfolio.

Success:

We, at Konfident successfully delivered a fully functional LeanIX implementation, providing the JV with a comprehensive AS-IS view of its application landscape, mapped accurately to business capabilities. The LeanIX implementation unified and organized data from three separate portfolios, transforming it into a cohesive and actionable architectural overview. This consolidation of data and strategic mapping has provided the JV with a robust foundation for its future application rationalization initiatives, supported by custom dashboards and reports that offer insight into redundancies and areas for efficiency gains.

With a tailored LeanIX workspace, configured from the ground up, the JV is now equipped not only to streamline operations but also to build a scalable, future-proof architecture framework for continued success.