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Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context. The quality of data is determined by factors such as accuracy, completeness, reliability, relevance and how up to date it is. There are many definitions of data quality but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".
After many years of experience in the Automotive Industry of the P.R. China, Affann consulting is aware of the fact, that data quality is a unique asset a company has.
Affann consulting is a leading provider of Automotive Data Service. The core strategic partnerships support us in being one of the most flexible, affordable, reliable, and trustworthy Automotive Data Services provider in the Automotive Industry in the P.R. China.
Affann Consulting supports the business development of international players in the Aftermarket by integrating predictive data and analytics into valuable business decisions.
We support well for our customers in vehicle information , product data and quick access to parts finder or technical information:
• Vehicle database – AP vehicle description with car population data
• Product application data – Components link to Vehicles
• OE cross reference, OE research data link to Vehicles
• Pricing database – IAM & OES
• Maintenance instruction database
Data sample:
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