In the realm of sustainable fleet management, the accuracy of CO2 emissions data stands as a cornerstone of effective environmental strategy. At Scopes Data, we recognize the complexity of this task, particularly when faced with the challenge of incomplete or inconsistent data. Our CO2 Data Cleaning process is meticulously designed to address these challenges head-on, employing a rigorous method to validate, correct, and enhance the data your fleet provides. Through a combination of expert analysis and sophisticated data handling techniques, we ensure that every piece of information used to guide your sustainability journey is as accurate and reliable as possible.
Data Cleaning: CO2 [g/km] Data
Instances where CO2 calculations based on fuel consumption, and vice versa, show deviations exceeding ±10% from original data, trigger our detailed review process. Such discrepancies often stem from varied testing methodologies, minor data entry errors, or inconsistencies in data quality from different national data providers, including leasing companies. Our approach involves individual examination of each vehicle flagged for review, ensuring data integrity by using average values from similar vehicles when necessary. This step is crucial for establishing a foundation of trust and reliability in the data we use to drive your fleet's sustainability strategy.
CO2 Data Check
Total: 20,646 Vehicles
This graph presents an aggregate view of the CO2 data check process, highlighting the total number of vehicles analyzed and identifying key areas requiring attention.
CO2 Data Check by Countries
A detailed breakdown by country offers insights into geographical variations in data quality, underscoring the importance of localized analysis in our global approach.
Origin of the Final CO2 Data Used
To achieve the most accurate CO2 data possible, it's essential to address missing information gaps. In instances where specific CO2 data is unavailable, we default to using average values based on vehicle make, model, and type. Our process also includes standardizing diverse units of measure, such as km/L, L/100km, CO2 g/100km, and MPG, ensuring uniformity across the dataset. This meticulous attention to detail in data normalization lays the groundwork for precise CO2 emissions analysis, enabling us to provide you with actionable insights for your fleet's green transformation.
Illustrating the sources and adjustments made to derive the final CO2 data, this graph emphasizes our commitment to data integrity and accuracy.
