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Data Analysis
The Data Analysis process is the cornerstone for the timely and reliable interpretation of data
Data analysis defines patterns through which analytical queries can be executed, aimed at achieving optimization results, cost reduction and increased customer engagement.
The technology offered by Lynx International takes full advantage of the data collection inherent in client activity to derive in-depth and targeted insights. Achieving these goals requires a robust platform that supports the entire analytical process with flexibility and reliability. Through the Data Analysis process, automotive companies can transform their data assets into knowledge that is understandable and meaningful for evaluating and refining business processes.
The selection of KPIs to monitor defines which are the most important performance indicators, essential in determining how close the company is to achieving its objectives. In this goal-setting process, it is crucial to assign responsibility and the ability to actively influence the outcome to specific resources.
KPI definition
- Number of reservations
- Number of Inputs
- Hours sold
- SPV RIC/MAN
- Hours Worked vs. Hours Attended
- Hours worked vs. hours billed
- Total after-sales turnover
- Quality (customer complaints, repeated work)
- Parts (warehouse rotation, parts unloading, inventory)
- New and Used Car Sales Trend
- % Car Range
- Car Margin
- Used Rotation Index
- Performance Indicators by Brand, Location, Department
KPI analysis
- Structured dashboard with detailed KPIs
- Assigning KPI monitoring to individual managers and the Management Team, with established frequencies
- Verify the data source for different KPIs, quantitative and qualitative (example: DMS, diary, phone log, customer questionnaires) by checking the correct way to input and output data.
- Historical data analysis and sustainable target setting