Service
Data & analytics
The data foundations that both reporting and AI depend on — and the dashboards people actually open.
Almost every stalled AI programme traces back to data. Not to its absence, but to its accessibility, consistency and ownership. Fixing that is unglamorous and it is usually the precondition for everything else.
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We build data foundations sized to the decisions they serve, rather than a warehouse programme with no consumer. Then we build the reporting and predictive capability on top, designed around what a specific person will do differently on a specific day.
A dashboard nobody opens is a cost. We would rather build three reports that change decisions than thirty that demonstrate coverage.
What you get
- Agreed definitions and a single source for key numbers
- Reporting that runs without manual effort
- Data access that AI systems can use safely
What's included
Data strategy and governance
Pipelines and warehousing
BI implementation
Self-service enablement
Predictive analytics
AI-ready data access
Where this applies
- Numbers that differ depending on who produced them
- Reporting assembled manually every month
- AI plans blocked by data access
- Dashboards built and never used
Technologies
- Microsoft Power BI
- Tableau
- Qlik Sense
- Azure
- AWS
- Python
- D3.js
Engagement models
- Data assessment. Two to three weeks. Sources, quality, ownership, gaps and a prioritised roadmap.
- Foundation build. Pipelines, model and governance for a defined domain.
- BI delivery. Semantic models and dashboards delivered iteratively with their users.
- Managed data operations. Ongoing pipeline operation, monitoring and enhancement.
Related services
Ready to talk about Data & Analytics?
Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.
Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853