Stop Analyzing the Wrong Data! Make Better and Faster Decisions Starting Today

Data analytics is a hot topic today. Unfortunately, too many fleets react to data in reports they get after a service event is completed.

Access to real-time information for identifying high-cost areas and process compliance issues not only improves the quality of back-end reporting; it also reduces service event cycle times and improves decision making and prioritization of activities.

Savvy fleet managers look for ways to use reports to identify problem areas, like assets with the highest costs, most Days Out of Service or most frequent/costly VMRS-coded operations. Good reports allow you to drill down interactively into specific areas that are causing you concern.

To ensure quality data you need standard rules of engagement that define what information should be captured during service events. Then you need the people, processes and technology in place to ensure that the data gets captured and reported. By managing events based on this key data, you can ensure that it is captured in real-time while also improving the quality of the data in your reports.

While this may seem overwhelming, it’s important to remember that real-time event management doesn’t require tons of data, just the right information.

Your rules of engagement should include the following basics.

1. Standard VMRS codes and SRTs: Every service event and operation needs to be VMRS-coded and have Standard Repair Times assigned to it.
   
   
2. Arrival and completion data: Get clear and timely information about when an asset arrives at the shop and the actual date and time the repair is completed. This allows you to clearly measure downtime (Days Out of Service) as well as compare how long the shop actually took to complete the repair (versus their estimate).

This information can then be used in real-time exception reports or dashboards to show when things are falling outside of pre-set parameters. Using a real-time decision support took like Decisiv Vision provides greater visibility into your service event management process. This includes estimates greater than a specific dollar value, assets that have been down for more than a specific number of days, service events involving engine repairs, service events that have missed their delivery windows and events that aren’t being coded to the standards outlined in your rules of engagement.

Once you have all this information, you can layer asset-specific information into after-the-fact reporting for more detailed analysis, such as:

• What types of assets break down most by make, model, years in service, mileage, engine hours, etc.
• Which repairs cost your fleet the most money
• Which types of repairs take the most time to complete
• Which shops are not performing specific operations as efficiently
• Which shops are not meeting deadlines most frequently

 Take the Next Step

Review your current reports to see if they’re delivering the value you expect. Identify areas where your data quality is impacted by poor real-time service event management. Contact Decisiv so we can help provide more details on best practices.