Modern Data Platform
Ingestion, orchestration, storage, modeling, semantic layer, and observability.
Data & Analytics Services
Build a modern data platform, enable trusted analytics, and unlock AI use cases. From ingestion to governance, we deliver outcomes—not just dashboards.
- Lakehouse ready
- Realtime & batch
- Governed & secure
- AI-enabled
Freshness
≤ 15m
Coverage
+40 KPIs
Savings
↓ 28% cost
What we deliver
Composable building blocks that scale with your velocity and budget.
Business Intelligence
Dashboards, self-serve analytics, KPI definitions, storytelling.
AI/ML & MLOps
Feature stores, model pipelines, monitoring, experiment tracking.
Data Governance
Access controls, catalog & lineage, data quality, privacy & compliance.
Data pipeline at a glance
- 1
Discover
Use-case mapping, data audit, success metrics
- 2
Design
Target architecture and tooling decisions
- 3
Build
Pipelines, models, tests, semantic layer
- 4
Activate
Dashboards, alerts, enablement
- 5
Operate
SLAs, monitoring, cost & quality guardrails
Recent case
A subscription app unified event streams and warehouse data into a lakehouse, introduced dbt models and a semantic layer, and rolled out product & revenue dashboards.
Time-to-dashboard
2 weeks
Data freshness
≤ 15 min
Query cost
↓ 28%
Data & Analytics FAQs
How long to first value?
For a focused use-case, 2–4 weeks to a production dashboard with governed metrics.
Can you work with our existing tools?
Yes—cloud-agnostic and tool-agnostic. We adapt patterns to fit your platform.
How do you ensure data quality?
Automated tests, SLAs, lineage, anomaly alerts, and DQ dashboards in CI/CD.