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Interested in automotive statistics, but don’t know where to begin to ask questions in order to analyze and react to changes in market conditions? Mitchell 1 BusinessIntelligence exposes the subtle business trends that require immediate attention, providing the answers to questions you didn’t know you had. More and more businesses are turning to BusinessIntelligence to make sense out of the torrent of transactional data collected by enterprise resource planning, customer relationship management, and other data-intensive applications.

Busi·ness – noun, that with which a person is principally and seriously concerned.

In∙tel∙li∙gence – noun, the gathering or distribution of information.

Combining the two words provides the ability to aid the automotive industry in decision making to increase revenues and profitability.
Mitchell 1 maintains a wide variety of transactional data gathered during their 90 years as the leading provider of quality repair information to the automotive industry. This information can be invaluable in the hands of automotive industry decision makers seeking to make better and well-informed business decisions relative to the service and repair trends of vehicles, part inventories, and predictive analysis.

  • Analyze Activity and Trends
  • Mitchell 1 Discriminators
  • Compute Data Relationships
Transactional data retrieved from shops across the U.S.Ongoing data collection has market-making potential to guide businesses by enlightening Automotive Industry decision makers on market activity, activity trends, and purchase patterns in automotive repair. Pulling on information from automotive shop management and point-of-sale data, Mitchell1 can provide general or detailed information through a series of relational data combinations. Some examples of these combinations include:
List Highest and Lowest Invoiced Vehicles By:
• Count
• Invoice Dollars
• Operations Performed
• Parts Replaced
• Mileage
List Operations By:
• Vehicle
• Profitability
Rank Labor Operations By:
• Y/M/M
• Major Repair Category
Compare Results By:
• Zip Code
• Nationally
• Other Distinctive/Customizable
North American Regions
List Highest Mileage Vehicles Being Serviced By:
• Operations Performed
• Parts Replaced
List Parts Sales By:
• Vehicle
• Range of Vehicles
• Range of Years
• Vendor
Mitchell 1 provides transactional based, factual (Type 1) information from real service data coming directly from service providers. This data presents an authoritative and current picture of the industry and is collected daily.

Mitchell 1 adds hundreds of thousands of new transactions per month - the most robust, up-to-date warehouse in the industry. Aggregated data analysis retains transactional accuracy while providing absolute consumer privacy.

Data Types
Primary Data (Direct Capture - Most Valid)
Type 1: Actual transactional data (Y/M/M,
Odometer Reading, Part Number)
Type 2: Directly observed and recorded data (Traffic Counts, Time Intervals)
Type 3: Direct survey information (Phone Survey, Interview, Web-poll)
Secondary Data (Qualified - Less Certain)
Type 4: Analyzed survey data (Statistics Applied, Generalized)
Type 5: Third party reported data (Government Records, Commercial Databases)
Type 6: Gathered data (Compiled from published reports)
Mitchell 1 data provides customers with a series of categories. These categories are mixed and matched to combine related data that, when fused together, can produce insights to vehicle user patterns, repair issues, and a myriad of other automotive repair considerations. Data can be provided in a one-time report or can be scheduled for periodic (weekly, monthly, quarterly, annually) output. Data may be accessed through the Mitchell 1 BusinessIntelligence portal to generate custom queries. Mitchell 1 data can become a part of a customer’s data and information collection strategy and provide additive richness in various automotive data segments.

Mitchell 1 can customize a one-time or periodic report by having the customer pick the various categories or interests and compute the relationships and associated data. These categories include:
Geography Repair Vehicle Parts Time
Country Labor Year Manufacturer

Year

State Operation Make Type

Quarter

Province Major Repair Categories Mode Part Number Season
City   Sub Model Description Month
Zip Code   Engine Vendor Week
    Body Style Electronic Order Weekday
    Mileage    
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