Self-Service Data Product Certification

Transform datasets into certified, reusable data products that drive organizational efficiency and trust

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Workflow turning raw data into certified and reusable data products in Tale of Data

Enable data as a product strategy with certified, marketplace-ready data assets

Our platform empowers organizations to transform raw datasets into fully governed, certified data products that can be discovered, trusted, and reused across the enterprise. By treating data as a strategic product rather than just raw input, you create an internal marketplace where teams can find, understand, and consume quality-assured data assets without starting from scratch.

This approach eliminates data silos, reduces redundant preparation efforts, and ensures every data product meets enterprise standards for reliability, documentation, and traceability. The result is a scalable data ecosystem that drives both operational efficiency and potential revenue opportunities.

Tale of Data flow showing data product certification and connection to analytics tools

Key features of our Self-Service Data Product Certification module

Tale of Data enables business and technical teams to certify datasets as reusable, trustworthy Data Products. With flexible classification levels (Gold, Silver, Bronze), built-in governance, and marketplace-ready documentation, you create a scalable, self-service ecosystem where quality-certified data is discoverable, auditable, and consistently aligned with enterprise standards.

Monitor Data Quality KPIs

Produce Data Quality KPIs to your specifications automatically and monitor them over time with no effort. Your Quality Control will ensure Data Products produced with Tale of Data remain on-target and on-quality.

Business Rules

Implement and maintain business validation logic with our visual editor. Easily configure complex rules and category checks, adapt them as your requirements evolve, and ensure consistent quality across your datasets.

Data Deduplication

Detect and merge duplicate entries across datasets using fuzzy logic and phonetic matching. Whether it’s customer records, supplier names, or product catalogs, Tale of Data streamlines the consolidation of your assets.

Data Remediation

Tale of Data offers advanced remediation tools powered by AI to help you clean your datasets even in the most complex situations. Whether you're dealing with inconsistent date formats, missing values, or mangled strings, our platform detects, suggests, and applies corrections without writing a single line of code. Each issue is clearly surfaced with actionable suggestions so you can resolve it directly within the interface, at scale or row by row.

Data Enrichment

Increase the value of your Data Product by putting more information on each line. With powerful enrichment tools you can additional fields from a repository or another data set, with options to select and reorder fields.

Advanced Enrichment

Use fuzzy, phonetic, or proximity matching to link your datasets with large external reference sources. Instantly convert massive repositories into enrichment engines to augment and contextualize your data at scale.

8+ Supported Flat File extensions

Tale of Data supports CSV, JSON, Excel, and other structured file formats whether stored on-premises or in the cloud allowing flexible integration across your environments.

Catalog view

Easily browse all your datasets and repositories in one centralized interface. Our smart catalog gives you full visibility into your connected data assets.

Dataset-level statistics

Access key statistics like volume, structure, and field distributions for each dataset. Combine it with Mass Data Discovery to analyze large datasets at scale.

Product Benefits

Customers

Don't just take our word for it

Read what our customers say about us.

“With Tale of Data, it’s like a cake recipe—we manage data preparation, monitoring, and quality/transformation end-to-end in a pragmatic, user-friendly, and easy-to-handle way. You can reuse parts of this recipe for other purposes (e.g., sustainability), which creates economic value and saves time.”
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Frédéric Robert
Consulting Director in charge of the Data Advisory Business Line, Apgar

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