AI Data Products & Data Automation
Transform raw data into intelligent, automated products that continuously deliver value, reduce manual effort, and scale seamlessly with your business.
What Is a Data Product?
A data product is a packaged, reusable asset—like a semantic layer, dataset, API, or analytics module—that delivers a reliable business outcome to specific users with clear interfaces, SLAs, and ownership. Think of it as a productized “source of truth” that others can safely consume, integrate, and build on.
Examples
A standardized revenue metrics layer, a customer 360 dataset, or a forecast API embedded in planning tools.
Why It Matters
Consistency, trust, and speed—teams stop rebuilding logic and start reusing governed building blocks.
Core Traits
Clear ownership, documentation, versioning, quality checks, access controls, and measurable outcomes.
How AI Supercharges Data Products
AI turns static products into adaptive systems that learn from usage, enrich data in real time, and deliver proactive recommendations where decisions happen.
Predictive & Prescriptive
Forecast demand, detect churn, and suggest next best actions directly through APIs or dashboards.
NLP & Unstructured Data
Classify emails, tickets, and notes to enrich customer 360s and speed up case triage.
RAG & Generative UX
Use retrieval-augmented generation to answer natural-language questions from governed, up-to-date data.
Autonomous Automation
Trigger workflows, alerts, and data quality fixes with AI agents that monitor signals continuously.
Lifecycle: Source → Model (dbt) → Product (API/Layer) → AI (Predict/Generate) → App/Dashboard → Feedback loop.
Intelligent Data Products
We design reusable, modular assets—APIs, semantic layers, and analytics modules—that deliver governed, consistent answers to the same questions across teams.
Automation for Scale
We implement fully automated ELT using dbt, Fivetran, and Airbyte so your data stays fresh and analysis-ready without manual effort.
Embedded AI Enrichment
We embed ML models—forecasting, anomaly detection, and NLP—directly in pipelines to add intelligence where it impacts outcomes.
CI/CD for Data
We bring DevOps to data—automated tests, versioning, and safe deploys—so product updates ship faster with confidence.