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Services · Data & Analytics

Pipelines and dashboards that turn data into decisions.

Data & Analytics turns scattered data into decisions — reliable pipelines, trustworthy models, and dashboards your team actually uses.

Scope this with usSee pricing
4–10 weeks
typical engagement
Rs 1.5 lakh
from
1 day
reply from a senior engineer
96%
On-time delivery

What you get

Data pipelines & warehouse integration
Executive & operational dashboards
Real-time metrics & alerting
Custom charting & data storytelling
Self-serve reporting for non-technical teams

What changes for you

Decisions made on live data, not spreadsheets
Hours saved on manual reporting each week
One shared source of truth across teams
Typical engagement · 4–10 weeks · from Rs 1.5 lakh

What Data & Analytics looks like in practice

We build the data engineering and analytics practice behind good decisions — pipelines that clean and model your data, and the interactive dashboards and reports your team actually opens, built around the decisions you need to make, not just the data you happen to have. Dashboards are also becoming conversational: the same warehouse can now power a natural-language layer where someone asks a question in plain English and gets a chart back, alongside the fixed executive view they check every morning. We build all of it — the pipeline, the always-on dashboard, and, where it adds real value, the AI-assisted layer on top — on a modern stack that scales from a first warehouse to real-time streaming.

Data warehousesdbt-style modellingPython / SQLBI dashboardsScheduled pipelines

Who is Data & Analytics for?

Teams making decisions on stale spreadsheets
Leaders with no single source of truth
Businesses with data scattered across systems
Anyone who wants dashboards people actually trust

How this one runs

Four stages, agreed before code.

01

Connect the sources

We bring your data together from the systems it's currently scattered across.

02

Build the pipeline

A reliable, repeatable flow so the numbers are fresh and trustworthy.

03

Model & visualise

A clean data model and dashboards designed around the decisions you make.

04

Make it self-serve

Your team answers its own questions without pinging an analyst every time.

Proof

Built with this service

All work →
Retailblueprint

Replacing spreadsheet reporting with a live executive dashboard

Consolidating a retailer's scattered spreadsheet exports into a single governed, live executive dashboard — cutting the reporting cycle from days to minutes.

6 hrs/week
Weekly hours lost to spreadsheet version-control errors, per team member
5x
More likely to make faster decisions with advanced analytics (Bain & Company)
47%
Orgs citing data literacy as a top-3 analytics barrier

Solution blueprint — the figures above are cited industry benchmarks for this class of system, not results claimed for a named client.

Read the build →
B2B Servicesblueprint

A self-serve analytics rollout for sales and marketing

Giving a growing B2B services firm's sales and marketing teams the ability to build their own reports, removing a standing dependency on a small central BI team.

47%
Orgs citing data literacy as a top-3 analytics challenge (Gartner)
32%
Orgs succeeding at org-wide BI adoption (industry estimate)
61%
Orgs evolving their analytics operating model due to AI (Gartner)

Solution blueprint — the figures above are cited industry benchmarks for this class of system, not results claimed for a named client.

Read the build →
Manufacturing / Logisticsblueprint

A real-time operations dashboard for the production floor

Replacing end-of-shift paper logs with live OEE, downtime, and throughput monitoring for a regional manufacturer's production floor.

up to 50%
Downtime reduction after adopting real-time analytics (McKinsey)
up to 15%
Productivity gain from real-time performance tracking (McKinsey)
86%
Manufacturers who say smart-factory initiatives will drive competitiveness (Deloitte)

Solution blueprint — the figures above are cited industry benchmarks for this class of system, not results claimed for a named client.

Read the build →

Questions about Data & Analytics

We already have dashboards — why rebuild?

If they're manual, stale, or nobody trusts them, the fix is a reliable pipeline and a model people believe — not another chart on top.

What tools do you use?

Whatever fits your stack — a warehouse, dbt-style modelling, and dashboards your team will actually open, rather than a tool you have to babysit.

How fresh will the data be?

As fresh as the decision needs — from daily batches to near-real-time, scoped to what actually changes the call.

The other five disciplines

All services →
01Neural AIAgents and assistants that understand your business02Flow AutomationLet the repetitive work run itself03Studio EngineeringWeb & mobile your customers notice04Product ForgeConcept to launch-ready, with you at every step05Cloud & DevOpsInfrastructure that scales while you sleep

Tell us the task.

One business day for a reply from a senior engineer, and a straight answer on fit — including when the honest answer is that you don't need us.

Start a project[email protected]

Kathmandu · GMT+5:45