Practice
Data, AI & Analytics · BI
Data Platform · BI · Energy
One portfolio.
One source of truth.
Sterlite Power runs large-scale solar and wind projects across India and Brazil — land, construction, procurement, and finance, all moving at once. Leadership was deciding on numbers that arrived late and lived in silos. Kansoft built a unified Power BI analytics platform: one source of truth, refreshed daily.
100% portfolio visibility 8–12 hrs saved weekly 8+ workstreams unified
The Client & Context
Transmission infrastructure at continental scale — and decisions made on data that arrived late.
Sterlite Power is a leading power transmission infrastructure company operating across India and Brazil, managing large-scale solar and wind energy projects with significant capital deployed across both geographies.
With multiple projects running concurrently — each involving land acquisition, construction milestones, procurement cycles, and financial tracking — the organization required centralized, reliably up-to-date visibility across its portfolio to support faster, more informed decision-making.
Leadership was making high-stakes decisions on data that arrived late, lived in silos, and had no unified foundation to support it. The platform that came out of the engagement didn't just replace a reporting process — it reshaped how leadership operates.
Key Challenges
Operating blind across a multi-geography portfolio.
Five problems compounded each other — and none could be fixed with one more spreadsheet.
01
Fragmented data landscape
Project data distributed across spreadsheets and site-level reports. No unified or reliable source of truth for leadership — and no architecture to fix that without rebuilding from the ground up.
02
Delayed decision-making
Manual consolidation required hours to days. Insights were often outdated by the time they reached stakeholders — which meant decisions were either delayed or made against stale numbers.
03
Lack of timely, consolidated visibility
No centralized view across the solar and wind portfolios. No single surface where land, construction, and financial data could be correlated — or progress, risk, and performance tracked together.
04
Operational complexity
Multi-layered workflows spanning land acquisition, procurement, and construction. Difficulty correlating financial and operational data across phases, geographies, and asset classes.
05 · No foundation
And no scalable foundation to build on if the answer kept being more spreadsheets.
There was no architecture in place to support analytics at enterprise scale — limited ability to extend into predictive or AI-led decisioning. Any short-term reporting fix would have made the long-term problem harder. A platform was the only viable answer.
Our Approach
A data-first platform, engineered for enterprise scale.
We aligned to the business domain first, then engineered a foundation built to last. Four phases, each delivering working software rather than just a deliverable.
PHASE 01
Discovery & Domain Alignment
Mapped project lifecycle workflows to data models, anchored in the realities of land, construction, and procurement cycles — not generic project-management templates.
PHASE 02
Custom Data Architecture
Designed a scalable data platform on Amazon S3 and PostgreSQL, built for multi-geography, multi-project ingestion across India and Brazil simultaneously.
PHASE 03
Iterative Prototyping & Pipelines
Delivered early working dashboards for stakeholder validation, and built structured ETL pipelines for automated ingestion — turning spec debates into decisions through visible progress.
PHASE 04
Visualisation & Scalable Foundation
Built intuitive dashboards for executive decision-making — every chart justified by a business question — and engineered extensibility for future analytics and predictive capabilities.
Solution Delivered
Five analytical surfaces and one data layer — built around executive decisions, not generic reporting.
The deliverable wasn't a dashboard. It was a unified command center for every project and every phase — connecting the project floor to the boardroom, and closing the loop between operational and financial data.
Unified Portfolio Dashboard
A centralized Power BI workspace consolidating all project data into a single executive view across solar and wind — with drill-through from portfolio-level KPI to project-level detail.
Plan vs Actual vs Forecast
Dynamic variance tracking across project timelines, with drill-down to activity-level insight that surfaces slippage before it becomes strategic risk. A forecast lens that updates as new data lands — not as a quarterly redraw.
S-Curve Progress Monitoring
Visual tracking of planned vs actual progress — the classic infrastructure lens, modernized. Curves that respond to daily-refreshed data rather than monthly status uploads, so schedule deviations are caught early.
Land Acquisition Intelligence
Geo-tagged tracking of the land acquisition lifecycle, with parcel-level visibility across clearance stages — identified, surveyed, negotiated, cleared, possessed. The most opaque phase of an infrastructure project, made transparent.
Workflow & Performance Tracking
Structured activity workflows aligned with critical project paths, month-on-month and year-to-date benchmarking at the portfolio level, and activity-level correlation between operational milestones and financial outcomes.
Single Source of Truth
A unified data layer spanning project spreadsheets, site reports, and financial systems — replacing reconciliation debates with trusted, shared numbers, on a foundation that scales into predictive and AI-led decisioning when leadership is ready.
Platform Architecture
Technology Stack
A stack designed for reliability and reach.
Enterprise-grade components assembled into a coherent analytics pipeline — each layer chosen for what comes next: predictive analytics, multi-portfolio scale, and an operating model that doesn't depend on one analyst staying late on Sunday.
Multi-source ingestion
Spreadsheets, site reports & financial systems — ingested as-is
Amazon S3
Scalable object storage for raw & processed data
PostgreSQL
Relational system of record the dashboards read from
Power Query · ETL
Structured pipelines replacing manual consolidation
Power BI · DAX
Executive dashboards with DAX measures
Extensible architecture
Predictive- and AI-ready foundation, engineered in from day one
Measured Outcomes
From hours of reconciliation to next-day confidence.
These are the operating numbers leadership now plans against — across solar and wind, across India and Brazil.
100%
Portfolio visibility
Unified through one platform across solar and wind
8–12 hrs
Saved every week
Manual reporting consolidation eliminated
8+
Workstreams unified
Consolidated into one integrated system
Single
Source of truth
Trusted, shared numbers across portfolios
| Measure | Before | After |
|---|---|---|
| Portfolio visibility | Fragmented across spreadsheets | 100% unified through one platform |
| Reporting effort | Hours to days of manual consolidation | 8–12 hours saved every week |
| Source of truth | Multiple, contested | Single, trusted |
| Decision latency | Decisions on stale numbers | Next-day, portfolio-wide |
| Workstreams unified | Siloed across teams | 8+ consolidated into one system |
| Foundation for AI / predictive | None | Engineered in from day one |
What Changed for the Business
The platform didn't just replace a process — it reshaped how leadership operates.
Cost and effort savings were the trigger. What the business gained was a way of operating where the meeting moves on to what to do — not what the number actually is.
Operational efficiency
Manual reporting eliminated. Teams focus on execution, not consolidation — accelerating project delivery timelines across the portfolio.
Strategic decision-making
Leadership gained next-day, portfolio-wide visibility — enabling faster, more confident decisions across geographies and project phases.
Future-ready foundation
The data platform enables seamless scalability — supporting future integrations, advanced analytics, and predictive decisioning when the business is ready.
Trusted single source
Reconciliation debates replaced with shared numbers everyone can build on. The meeting moves on to what to do — not what the number actually is.
Engagement Snapshot
How the work was shaped.
Storage
Amazon S3 + PostgreSQL
BI Layer
Microsoft Power BI · DAX
Geography
India & Brazil · Solar & Wind
Why Kansoft
Infrastructure-grade analytics, engineered to evolve.
A reporting fix would have made the long-term problem harder. We built a platform instead — one that assumes the next initiative is already coming.
Deep domain understanding Expertise in infrastructure and energy project lifecycles, from land acquisition to commissioning — so the data model reflects how the business actually runs.
Data engineering excellence Strong capabilities in building scalable, cloud-based data platforms that perform in production — not prototypes that buckle under real data volumes.
Business-focused BI Dashboards designed for decision-making — every chart tied to a business question, not a generic visualization of data that happens to be available.
Engineered to evolve Every platform we build assumes the next initiative is already coming, and is structured accordingly — so it grows with the business rather than being replaced.
Ready to build something like this?
If portfolio reporting still depends on someone consolidating spreadsheets every Monday, the next call is the one worth having.
We build enterprise data platforms and analytics surfaces for infrastructure, energy, and capital-intensive businesses — engineered for next-day visibility, multi-geography scale, and the predictive and AI workloads you'll want to add next. If that's the kind of foundation you need, let's talk.
Confidential · No procurement obligation · Response within one business day