TecDoc Data Quality Management
Improve the quality of your product data
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TecDoc Data Quality Management helps data suppliers improve the accuracy, completeness, and consistency of their product data. Through validation processes, quality checks, and standardised TecDoc structures, it supports reliable parts identification, better catalogue performance, and higher data quality across the aftermarket ecosystem.
What you get
Quality standards & KPIs 
Data quality evaluation 
CertificationsHigh-quality product data is essential for accurate parts identification and successful parts sales. Incomplete or inconsistent data can lead to incorrect part selection, higher return rates, lower product visibility, and reduced trust across the supply chain.
TecDoc Data Quality Management (DQM) helps address these challenges by continuously improving product, vehicle, and linkage data quality. By aligning data with TecDoc requirements and market needs, DQM supports reliable part identification and better catalogue performance.
Using clearly defined KPIs and certification levels, DQM makes data quality transparent, measurable, and visible in the TecDoc Catalogue.
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DQM helps suppliers measure, improve, and maintain catalogue data quality through a structured framework of standards, evaluation, and certification.
Defined quality standards: Align product, vehicle, and linkage data with TecDoc requirements through clear quality rules and performance indicators.
Continuous quality monitoring: Identify errors, inconsistencies, and improvement opportunities through ongoing data quality assessments.
Industry-recognised certification: Achieve Certified Data Supplier (CDS) or Premier Data Supplier (PDS) status by meeting established quality benchmarks.
Actionable insights: Gain visibility into data quality performance and focus improvement efforts where they have the greatest impact.
Expert guidance and resources: Access best practices, tools, and documentation, including the TecDoc Data Guide, to support continuous improvement.
Download the TecDoc Data Guide
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DQM helps suppliers measure, improve, and maintain catalogue data quality through a structured evaluation and certification process.
Data quality assessment: Your product, vehicle, and linkage data is assessed against TecDoc quality standards and requirements. Key evaluation areas include:
Correctness and completeness
Standardisation and consistency
Clear differentiation among similar products
Data quality evaluation: Assessment results are measured against defined TecDoc KPIs and presented through reports and dashboards, providing visibility into data quality performance and areas for improvement.
Continuous improvement: Use the evaluation results to identify issues, prioritise corrective actions, and continuously enhance the quality and reliability of your catalogue data.
Certification: Based on KPI performance, suppliers can achieve recognised data quality certifications:
Certified Data Supplier (CDS): Meets core TecDoc data quality requirements and demonstrates a high level of catalogue reliability.
Premier Data Supplier (PDS): Meets all CDS requirements and additional advanced KPIs, including product content quality and product differentiation.
By making data quality transparent, measurable, and visible to the market, DQM helps suppliers to strengthen customer trust and maximise the value of their catalogue data.
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High data quality helps manufacturers strengthen their market position. With DQM, suppliers benefit from:
Accurate part identification and improved customer satisfaction
Reduced return rates
Stronger brand image and increased trust among customers
Achieving Certified or Premier Data Supplier status further strengthens your visibility and credibility in the TecDoc Catalogue.
Our customers at hostettler autotechnik ag say:
“Data quality in the TecDoc Catalogue is becoming increasingly important, both in supplier selection and in our daily operations. Within our product management department, it now carries the highest weighting in our supplier evaluation.”
- Christoph Althaus, Head of Product Management at hostettler autotechnik ag
View the list of data suppliers.
Download the Premier Data Supplier (PDS) Value Guide
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Whether you aim for Certified Data Supplier (CDS) or Premier Data Supplier (PDS), DQM gives you the framework to improve your data and achieve measurable results.
Become a Certified Data Supplier (CDS): Meet specific requirements for TecDoc data maintenance to a high degree. KPIs target basic TecDoc guidelines.
Become a Premier Data Supplier (PDS): Meet all our Certified Data Supplier criteria and other significantly more stringent content requirements. KPIs also encompass aspects of product content.
Download the PDS Value Guide
KPI
KPI1: Translation of Text Modules
KPI2: Additional Product Description
KPI5: Response Rate to Error Information
KPI6: Use of TecDoc Attributes Instead of Free Text
KPI7: Translation of Text Modules
KPI8: Differentiating Attributes
KPI10: Differentiation of Linkages
KPI11: Decimal Places for Attributes
KPI12: Content of Text Modules
KPI13: Alphanumeric Attribute Content
KPI14: Engine Identification Attributes
KPI15: Permissible Key-Value Table
KPI16: Trade Numbers
KPI17: Translation of Documents
What does it mean?
Text modules translated into all TecDoc core languages.
Additional product descriptions may include marketing-related product names only.
Error reports resolved within the defined timeframe.
Standardised TecDoc attributes used instead of free text.
Text module languages must match provided languages.
Only approved differentiating attributes allowed.
Product links differentiated using defined attributes.
Decimal places reduced to the required minimum.
Only approved marketing content allowed.
Attribute values must correctly match the attribute meaning.
Official TecDoc engine identifiers must be used.
Only approved values allowed in key-value tables.
Trade numbers may only contain permitted values.
Document translations must match provided languages.
Why/Benefit
Improves global understanding and reduces returns.
Enables clearer product communication and filtering.
Improves data reliability and customer trust.
Improves search and product identification.
Ensures consistent product presentation.
Reduces incorrect orders and returns.
Helps identify the correct part faster.
Improves readability and purchasing decisions.
Improves discoverability and identification.
Improves transparency and search accuracy.
Improves compatibility and matching quality.
Ensures consistent classification and selection.
Supports accurate product identification.
Supports international product documentation.
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