Data Analytics Services
We turn raw data into reliable decisions, building modern data stacks, actionable dashboards, and experimentation programs that teams actually use.
- / Trust By
Built on a modern stack (Snowflake, BigQuery, Redshift, Databricks, PostgreSQL) with dbt, Airflow, Fivetran/Stitch, Kafka. We design for quality, governance, and cost from day one.
KPI-driven
Governed
Scalable
- / Techstack
Our toolkit
What we deliver
From source systems to trusted metrics — pipelines → warehouse → models → BI → governance.
Analytics Engineering
dbt models, semantic layers, metrics definitions, and data contracts.
Data Warehousing
Snowflake/BigQuery/Redshift/Databricks design, partitioning, cost controls.
ELT & Pipelines
Fivetran/Stitch/Kafka, CDC, orchestration with Airflow — observability built‑in.
BI Dashboards & Self‑Serve
Looker/Metabase/Power BI dashboards, governed explores, and training.
Experimentation
A/B testing frameworks, uplift metrics, guardrail KPIs, and rollout playbooks.
Data Governance & Security
Row‑level security, PII handling, lineage, SLAs, and access controls.
Outcomes you can expect
Trust
Single source of truth with documented metrics
Speed
Stakeholders answer questions in minutes, not days
Cost
Warehouse spend governed with usage policies
Compliance
PII policies, RBAC, and audit trails in place
Our delivery process
- / Process
1/6
Stakeholders, questions to answer, current stack, and data mapping.
Discover
2/6
Data model, warehouse strategy, governance, and dashboard specs.
Design
3/6
Pipelines, dbt models, tests, and BI dashboards with usage tracking.
Build
4/6
Row‑level security, lineage, SLAs, and cost policies.
Harden
5/6
Enablement, documentation, and change management.
Rollout
6/6
Experimentation, backlog, and quarterly roadmap for impact.
Improve
Who we build for
From visual search in ecommerce to defect detection in factories tailored to your domain.
Ecommerce
Operations
Fintech
Customer Support
Marketing
HR & IT
Logistics
Healthcare
Engagement models
Analytics Sprint (2–4 weeks)
Answer top business questions with a focused dashboard and trusted metrics.
Modern Data Stack (4–8 weeks)
Warehouse + pipelines + dbt + BI with governance and cost controls.
Fractional Data Team
Ongoing analytics engineering, experimentation, and ops enablement.
- / FAQs
Frequently Asked Questions
- Which BI tool do you recommend?
We are tool‑agnostic. We match tools to your skills and budget; common picks: Looker, Metabase, or Power BI.
- How do you ensure data quality?
Tests in dbt, lineage, monitoring, contracts with producers, and SLAs with owners.
- How do you control costs?
Partitioning, clustering, materialization strategy, and warehouse usage policies.
- Can you work in our VPC?
Yes. We can deploy to your cloud, with least‑privilege access and audit logging.
Ready to put your data to work?
We’ll design a modern data stack and the dashboards that move your KPIs governed, scalable, and cost‑aware.