Data & Analytics

Data & analytics services that earn their keep.

We connect scattered data into a reliable platform, give teams analytics they trust and build the AI-ready foundations that agents and models depend on. Governance and security are built in from the start.

Typical start
Data maturity assessment
Focus
Decisions, not just dashboards
Foundation
AI-ready, governed data

What we deliver

Data & Analytics services, in detail.

Engage us for the full scope or a single piece. Every engagement is led by a senior specialist and shaped around your goals.

01

Data platforms & pipelines

Warehouses and lakehouses with reliable ELT pipelines, data modeling and automated quality checks.

02

BI & dashboards

Self-service dashboards and KPI frameworks for leadership, operations and finance.

03

Data integration & migration

Consolidate data from ERP, CRM, spreadsheets and apps, and migrate legacy databases safely.

04

Machine learning & forecasting

Demand, churn, risk and anomaly models deployed with monitoring and retraining.

05

Real-time analytics

Streaming pipelines and live operational dashboards for time-sensitive decisions.

06

Data governance & privacy

Catalogs, lineage, access policies and privacy controls aligned with GDPR and India's DPDP Act.

Outcomes

What changes for your business.

We measure success by business results, not deliverables. These are the outcomes we design every data & analytics engagement around.

One version of the truth

Metrics are defined once and trusted across teams.

Faster decisions

Leaders see what changed and why, without waiting for a spreadsheet.

AI-ready data

Clean, documented and permissioned data that AI agents and models can use safely.

Less reporting effort

Automated reports replace hours of spreadsheet work every week.

Approach

How a typical engagement runs.

A proven sequence, adapted to your context, with clear checkpoints where you decide whether and how to continue.

  1. 011–2 weeks

    Assess

    Map data sources, users and decisions, and agree on the priority metrics.

  2. 022–6 weeks

    Build foundations

    Pipelines, models, security and a shared metrics layer.

  3. 032–4 weeks

    Deliver insights

    Dashboards and models for the first priority use cases.

  4. 04Ongoing

    Scale

    Extend to new teams and use cases while monitoring quality and cost.

Technologies & frameworks

  • Python
  • SQL
  • dbt
  • Apache Airflow
  • Apache Spark
  • Apache Kafka
  • Databricks
  • Snowflake
  • BigQuery
  • Microsoft Fabric
  • Power BI
  • Tableau
  • Looker Studio
  • PostgreSQL
  • scikit-learn
  • MLflow

Case study

Proof, not promises.

See how this service played out for a online medical certification provider.

All case studies

FAQ

Data & Analytics: common questions.

Still have a question? Ask a consultant.

Do we need a data warehouse?

If reporting means stitching spreadsheets together, or different teams quote different numbers, almost certainly. We right-size it: many companies start with a lightweight, low-cost platform and grow from there.

Which BI tool should we use?

Power BI, Tableau and Looker Studio all work well. We recommend one based on your existing Microsoft or Google ecosystem, your licensing and who will build reports.

How does data work relate to AI agents?

AI agents are only as good as the data they can reach. We make sure data is accurate, documented and permissioned so agents and models can use it safely. See our AI agents & automation service.

Start a conversation

Let's scope your data & analytics initiative.

Tell us about the challenge on your desk. Within one business day a senior consultant will reply with initial thoughts, and with questions if we need them, before any sales conversation.

  1. A reply within 1 business dayFrom a consultant, not a sales script.
  2. A 30-minute discovery callWe listen, ask hard questions and share early ideas.
  3. A clear proposal in about 5 daysScope, team, timeline and a transparent estimate.