Efficient Decision-Making Through User-Friendly Dashboards
Complexity and Lack of Acceptance of Dashboards
ZF Friedrichshafen AG has developed specialized dashboards to visualize key figures relating to error messages in the areas of transmissions and drive concepts. These dashboards cover the products TraXon (truck transmissions), EcoLife (bus transmissions) and E-Mobility (new drive concepts). The aim of these dashboards is to provide developers, quality engineers and management with a basis of precise and relevant data on which to make informed decisions in order to optimize the software of the control units.
The large amount of data and different stakeholder requirements meant that users had difficulty fully understanding the information presented and maintaining a clear overview. This complexity reduced the acceptance of the dashboards and made it difficult to use them for data-based decisions.
Comprehensive Template for Dashboards
As part of a joint project, doubleSlash was commissioned to create the overarching structure of the various areas and develop a standardized template. Detailed interviews and workshops with the stakeholders were used to identify the key performance indicators that are of central importance to the quality engineers and developers. Subsequently, targeted optimizations were made to the key figures and dashboards in close coordination with the key users.
User-Oriented and Efficient Dashboard Design
The mentioned services fall under business applications and are specialized solutions tailored to address specific business challenges, such as data-driven mapping of the value chain for end-to-end component traceability.
To offer services on the Catena-X marketplace, they must comply with defined standards and criteria to ensure compatibility with other participants. Certification as a Catena-X solution is mandatory.
The systematic preparation and processing of data from our commercial vehicle products is an important pillar in the development of efficient and future-oriented drive systems. In addition, new digital business potential can be tapped into in the areas of fleet management and predictive maintenance.
Here, doubleSlash is a professional and reliable partner that helps us to better understand our data and to better exploit the potential that lies dormant in it.
– Dipl. Ing (FH) Martin Meßmer, Head of Data Solution (TDGD), ZF Group, Commercial Vehicle Technology, ZF Friedrichshafen AG
Better & More Efficient Decision-Making
The result was worth it: a significant improvement in the usability of the dashboards and a modernization of the design, which significantly increased user-friendliness and user acceptance. By integrating data storytelling, the dashboards were structured in a comprehensible way, which ensures that the data is not only presented efficiently, but that management is also informed in a targeted and comprehensible manner. Overall, this structured approach has significantly optimized decision-making within ZF Friedrichshafen AG.
Landing Page
- Overview Error Codes
- Overview Error Codes by Vehicle
- CAN Traces Count
Connectivity status
- Count of Files
- Files by Date
- Latest Diagnostic Readout
- Last CAN Recording
Fleet Insights
- Overview Failures & Patterns
- Overview falues by vehicle
- Vehicles and Error per Kilometer
- Mileage
About ZF
ZF Friedrichshafen AG, a leading global technology company in the mobility industry, has been working closely with doubleSlash for many years. The two companies have a long-standing partnership that extends to the joint development and operation of innovative digital products. This collaboration has already led to several holistic solutions that support ZF in optimizing its processes and increasing efficiency.
Services
- Workshops to determine the technical issues and analyze the use cases
- Derivation of relevant key figures and coordination with stakeholders
- Iterative design of dashboards with feedback loops to determine suitable key figures and dimensions for visualization
- Conclusion & presentation of results
Want to Learn More About Data-Based Decision Making?
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