Data Visuals Innovations in Data Products • Analytics • AI-ready foundations

Data Products + Analytics without the theater.

Data Visuals exists because most organizations don’t need more dashboards — they need fewer bad decisions.

We build data products and strengthen data foundations so teams can trust their metrics, move faster, and adopt AI without destabilizing the systems that run the business.

Practical delivery, clear ownership, and documentation people actually use.

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What we do

• Build data products — dashboards, semantic layers, analytics apps, and “decision-ready” metrics.
• Strengthen foundations — pipelines, models, quality thresholds, lineage, and ownership.
• Make AI practical — RAG-ready context, measurable evaluation, and rollout guardrails.

The goal isn’t more dashboards. The goal is better decisions.

Who this is for

CIO/CTO/CDO and analytics leaders who have “lots of data” but low trust, unclear ownership, or slow time-to-value — especially in regulated or operationally complex environments.

Engagement options

1) Data Product Sprint (2–4 weeks)

• Pick 1–2 high-value use cases
• Build an MVP (model → metrics → viz/app)
• Ship with adoption + definition of done

2) Foundations + Governance Tune-up (3–6 weeks)

• Ownership + critical data elements
• Quality thresholds + monitoring
• Light workflow teams will use

3) AI / Conversational Analytics Prototype (2–3 weeks)

• RAG over your docs + metrics
• Ask questions → get narratives + visuals
• Guardrails + evaluation plan

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Our Writing

Latest Blog Posts

• Rethinking Data Governance
• Mastering Data Using Business Capabilities
• Catalogs Drive Better Master Data

Contact

Email: [email protected]
LinkedIn: Connect on LinkedIn

# What to send me
- Your role + context
- Your data product / analytics goal
- Timeline + constraints
- Where trust breaks today (quality / ownership / access / definitions)