Data Analytics & BI — Turn Data into Decisions
At Nirvista we help organisations unlock the value trapped in their data. Our Data Analytics practice combines robust data engineering, modern cloud data platforms and domain-led analytics to deliver timely, trustworthy insights that drive measurable business outcomes.
From building centralized data platforms and ETL pipelines to designing executive dashboards and production-grade predictive models, we make analytics practical and operational. We focus on data quality, observability and governance so insights are repeatable, auditable and secure.
Core Capabilities
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Data platform design: cloud data warehouses, lakehouses and real-time stores
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ETL/ELT & pipeline automation (Airflow, dbt, Spark, Kafka)
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Business Intelligence & dashboards (Looker, Power BI, Tableau)
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Predictive analytics & ML models (churn, LTV, forecasting)
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Real-time analytics & stream processing for operational use-cases
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Data governance, lineage, privacy and compliance (GDPR/CCPA)
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MLOps & model monitoring for production reliability
Business Benefits
- Faster, data-driven decisions using self-serve dashboards
- Improved forecasting accuracy and operational efficiency
- Monetize data: insights that create new revenue streams
- Stronger compliance posture through governed pipelines
Delivery & Governance
We start with a rapid assessment to map your data landscape, KPIs and pain points. Next we design a pragmatic roadmap that balances quick wins (dashboards, reports) with long-term investments (data platform, MLOps). Governance and security are embedded from day one — role-based access, lineage tracking and automated tests ensure trust in production analytics.
How to Get Started
Book a data assessment with our analytics leads. We'll analyse sample datasets, map opportunities and propose a phased delivery plan with estimated ROI. Pilots and PoCs available to validate value quickly before scaling to an enterprise analytics program.