What is Data & Analytics?
Data & Analytics turns scattered data into decisions — reliable pipelines, trustworthy models, and dashboards your team actually uses.
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.
What's included
- Data pipelines & warehouse integration
- Executive & operational dashboards
- Real-time metrics & alerting
- Custom charting & data storytelling
- Self-serve reporting for non-technical teams
What outcomes can you expect?
- 01Decisions made on live data, not spreadsheets
- 02Hours saved on manual reporting each week
- 03One shared source of truth across teams
How it works
How does NeuralYug's Data & Analytics work?
Built with
The stack behind it
Proof of expertise
What this looks like in practice
Real numbers from real engagements and reference blueprints.
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.
Illustrative impact based on published industry benchmarks — not results from a specific client.
Weekly hours lost to spreadsheet version-control errors, per team member
More likely to make faster decisions with advanced analytics (Bain & Company)
Orgs citing data literacy as a top-3 analytics barrier
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.
Illustrative impact based on published industry benchmarks — not results from a specific client.
Orgs citing data literacy as a top-3 analytics challenge (Gartner)
Orgs succeeding at org-wide BI adoption (industry estimate)
Orgs evolving their analytics operating model due to AI (Gartner)
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.
Illustrative impact based on published industry benchmarks — not results from a specific client.
Downtime reduction after adopting real-time analytics (McKinsey)
Productivity gain from real-time performance tracking (McKinsey)
Manufacturers who say smart-factory initiatives will drive competitiveness (Deloitte)
Who it's 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
Based in Kathmandu, Nepal — working with teams locally and across multiple countries.
What does it cost?
We publish clear starting prices. Not sure where to begin? A fixed-price two-week Automation Sprint (from Rs 45,000) maps your best opportunity and is credited toward the build.
Questions
Data & Analytics FAQ
➜ ~ ready to ship
Ready to build what's next?
Tell us about your project — we'll reply within one business day with a clear plan and a straight answer on fit.