Years of enterprise delivery
Enterprise clients served
Industries with deep expertise
Source of truth, not many
The problem is not usually a lack of data. It is that the data is scattered across systems that do not talk to each other, owned by different teams, formatted differently, and updated at different times.
Webvillee builds data analytics solutions that bring your data together, clean it up, and surface the answers your leadership team actually needs, in dashboards they will check every day, not once a quarter.
Static monthly reports emailed as spreadsheets, by the time they arrive, the moment to act has passed.
Finance has one version. Operations has another. Nobody agrees which number is correct.
Analysts spend most of their time collecting and cleaning data instead of analysing it.
Decisions get made based on experience or instinct because getting the data takes too long.
Not reports. Not presentations. Actual tools your team will use every day to run the business.
Real-time views of the metrics that matter, sales, operations, finance, or customer data, updated automatically without any manual effort.
All your data in one place, cleaned and unified, so every team is working from the same numbers, no more conflicting reports from different systems.
Get notified when something important changes, sales below target, stock running low, a metric going out of range, before it becomes a crisis.
Forward-looking analysis built on your historical data, so you can plan ahead instead of always reacting to what already happened.
Tools that let your teams answer their own data questions without raising a ticket with IT or waiting for an analyst to build a new report.
Automated flows that collect, clean, and move data from source systems into your analytics environment, no manual exports, no stale data.
We assess what data you have, where it lives, and what decisions you need to make, then build a practical roadmap for turning your data into a business asset.
We connect your systems, ERP, CRM, eCommerce, finance, operations, so data flows automatically into one place and your team stops spending time collecting it manually.
We design and build the data infrastructure your analytics sits on, structured for performance, scalable as your data grows, and maintainable by your team.
We build dashboards in Power BI, Tableau, or Looker, designed around how your leadership team actually thinks, not how the data is structured in the underlying system.
We define rules for how data should be collected, validated, and maintained, so your analytics produces numbers people trust, not numbers they argue about.
Beyond standard reporting, cohort analysis, customer lifetime value, churn modelling, scenario planning, and other analysis that helps you understand not just what happened, but why.
Starting with a clear understanding of the decisions you need to make, not the data you happen to have.
We start by asking what decisions you need to make, not what data you have. The right analytics solution starts with the business question.
We map what data exists, where it lives, how clean it is, and whether it is sufficient to answer the questions that matter. Gaps are identified before any build starts.
We build the data pipelines, data model, and reporting layer, with regular check-ins so you see progress and can give feedback before everything is finalised.
We deploy to your environment and train the people who will use it daily, so adoption happens and the investment delivers its return.
We stay involved, adding new data sources, building new dashboards, and improving the platform as your business questions evolve.
Production yield, OEE, downtime analysis, supply chain visibility, quality metrics, and cost-per-unit tracking across plants and production lines.
Revenue and cost reporting, customer profitability, risk exposure dashboards, regulatory reporting, and portfolio performance tracking.
Patient flow, bed occupancy, clinical outcome tracking, cost-per-episode analysis, and operational efficiency metrics for providers and administrators.
Sales performance, inventory turnover, customer behaviour, basket analysis, channel attribution, and margin tracking across products and locations.
A manufacturer's production data lived in five separate systems. Leadership had no real-time visibility into output, quality, or downtime. Monthly reports took three days to compile.
Unified production dashboard live in 4 weeks. Monthly reporting effort reduced from 3 days to 2 hours. Leadership identified and resolved a recurring downtime issue in the first week of use.
A financial services firm had separate reporting tools for sales, operations, and finance. Each team argued about whose numbers were right. Board packs took two weeks to prepare.
Single integrated data platform built in 8 weeks. Board pack preparation reduced from 2 weeks to 2 days. Cross-team data disputes eliminated entirely.
A retailer had no visibility into which products, locations, or customer segments were driving margin, only top-line revenue. Buying decisions were based on instinct rather than data.
Margin analytics dashboard delivered in 5 weeks. Buying team identified 3 underperforming product ranges. Gross margin improved by 4 points in the following quarter.
