Stop data hunting: Start building with data recommender

AI promises a transformative impact, yet many organizations struggle to get beyond pilots. The barrier isn’t the lack of data—it’s the time-consuming process of finding and preparing it. It’s widely acknowledged that data professionals spend the bulk of their effort wrangling data rather than analyzing it. This imbalance leaves highly skilled teams bogged down in repetitive tasks instead of building models that deliver real business value.

What’s new: Data recommender

Collibra data recommender puts an end to manual, time-consuming data hunting. Instead of passively browsing catalogs or stitching together datasets, data scientists and engineers receive proactive, AI-driven recommendations of the most relevant, governed data products for their use case.

Built on Collibra’s active metadata and enriched with business, privacy, and usage context, recommendations guide teams to pre-approved datasets they can trust. This accelerates AI development, promotes governed data reuse, and embeds traceability and compliance into the AI lifecycle from day one.

How data recommender helps

Data scientists and engineers lose productivity when they spend most of their time chasing, cleaning and validating data. Without guidance, many default to familiar datasets because searching takes too long. This delays AI delivery, hides valuable certified datasets, and frustrates top talent. Data scientists and engineers struggle with:

• Slow, manual data discovery and preparation
• Hidden or underutilized certified datasets
• Redundant effort in dataset search and assembly
• Low trust in data inputs for AI models
• Delayed AI adoption and ROI due to inefficiency

How data recommender works

Collibra data recommender transforms the catalog experience from static to intelligent. Instead of forcing users to manually browse repositories, it leverages Collibra’s active metadata and AI-driven intelligence to recommend the most relevant datasets for a given use case.

Each recommendation surfaces data products enriched with:

• Business context (e.g., definitions, owners, usage patterns)
• An actionable “shopping button” so users can quickly add datasets to their basket and accelerate adoption

Stewards can proactively connect datasets to AI use cases, ensuring that data lineage, governance policies and compliance checks are embedded. By integrating with Collibra’s broader platform, data recommender ensures traceability across the full AI lifecycle from dataset selection to model deployment.

Why you should be excited

The benefits of data recommender extend across a wide range of roles:

• Data Scientists: Spend more time building models and less time searching for data
• Data Engineers: Reduce repetitive work by promoting reuse of governed datasets
• Stewards and Compliance Officers: Ensure datasets are traceable, governed and compliant from day one
• Business Leaders: Accelerate AI adoption, reduce risk and maximize ROI

Key use cases

Data recommender helps across various industries, such as financial services, retail and healthcare:

• A financial services team rapidly assembles risk models using certified datasets instead of manually searching across systems
• A retail company accelerates personalization initiatives by reusing governed customer datasets enriched with privacy context
• A healthcare provider ensures compliance by automatically linking approved patient datasets to AI diagnostic use cases

Key takeaways about data recommender

Collibra data recommender flips the balance of work for data teams—helping them spend less time on manual hunting and more time on innovation. By embedding traceability, governance and AI-driven guidance into the discovery process, organizations accelerate time-to-value and strengthen trust in their AI models.

Join Collibra’s Product Premiere to:

• Learn how Collibra improves data discovery with active recommendations
• See how data recommender accelerates AI delivery with trusted datasets
• Understand how this feature embeds compliance and traceability from day one
  

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  Alexandre t'Kint

  Alexandre t'Kint

  Senior Product Manager AI Governance

  Collibra

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  Pankuj Chachra

  Pankuj Chachra

  Director of Engineering

  Collibra

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  David Talaga

  David Talaga

  Product Marketing Director

  Collibra