A complete end-to-end data analytics programme — from messy raw data to a published Power BI dashboard with actionable insights. Designed for business teams who work with data every day but aren't getting the most out of it.
Most organisations collect enormous amounts of data every day — from ERP systems, CRMs, production lines, sales teams and finance departments. But most of that data sits in Excel files, siloed systems and inboxes, never turned into the insights that drive better decisions.
A structured, practical data analytics training programme that takes your team from raw messy data all the way to an interactive Power BI dashboard — using datasets from your own industry. By the end, your team has both the skills and a working deliverable.
Multiple data sources, multiple formats, no unified view. Nobody knows what the "right" number is because everyone has a different spreadsheet.
Manual data cleaning, copy-pasting from ERP exports, fixing formatting errors — before the actual analysis can even begin.
Static Excel charts presented in a PowerPoint once a month. By the time leadership sees the data, the moment to act has passed.
One analyst who can do everything — and the entire business stops if they're on leave. Analytics capability needs to be distributed.
Six competencies, taught in sequence — each building on the last, leading to a complete analytics workflow.
Six concrete, measurable outcomes — not just "understand analytics concepts."
Remove errors, handle nulls, fix formatting inconsistencies and standardise messy ERP exports or Excel data using Power Query — in minutes, not hours.
Unpivot wide tables, merge multiple sources, append monthly files, apply conditional logic and create calculated columns — fully automated and refreshable.
Design a star schema with fact and dimension tables, set up a Date Table, define relationships and write DAX measures for business KPIs.
CALCULATE, time intelligence (YTD, prior year), RANKX, running totals, % of total and custom KPI measures relevant to your organisation's metrics.
Choose the right visual for the question, apply visual design principles, use bookmarks and drillthrough — and publish a live, interactive Power BI report.
Present insights, not just charts. Structure findings as a narrative, highlight the "so what" and make recommendations that lead to action.
The same analytics journey, adapted for different business functions using industry-relevant datasets.
P&L, budget vs actual, cash flow, AR/AP ageing, cost centre dashboards — using finance data from your ERP or accounting system.
Target vs achievement, regional comparison, product performance, customer analytics and sales pipeline dashboards.
Production output, OEE, inventory levels, supplier performance and logistics KPIs — using manufacturing or supply chain datasets.
Headcount trends, attrition analysis, recruitment funnel, training completion, payroll cost analytics and workforce planning dashboards.
The complete data analytics journey without a specific domain focus — ideal for MIS teams, analysts and cross-functional groups.
Batch tracking, quality metrics, regulatory compliance dashboards, production planning and yield analysis for pharma and manufacturing teams.
From needs assessment to post-training support — four steps ensuring your team applies what they learn.
We discuss your team's current skill level, the data sources they work with, the reports they currently produce and the KPIs that matter most to your leadership — then design the curriculum accordingly.
We prepare practice datasets that mirror your industry and company type — pharmaceutical sales data, manufacturing production data, or FMCG retail data — so every lab feels immediately relevant.
Hands-on, lab-heavy sessions. For every concept taught, participants immediately apply it to the practice dataset. By Day 3, they're building their own complete Power BI dashboard from scratch.
Participants leave with a real deliverable — a working Power BI report they built during training. Lifelong email support means they can reach out when they hit a challenge applying skills in the real world.
A pharma company's MIS team of 6 analysts was spending every Thursday preparing a monthly sales analytics report by manually combining data from 4 regional Excel files.
After a 4-day Data Analytics programme, the team built a fully automated Power BI dashboard that replaced the manual report — connecting all 4 regional files and refreshing daily.
Tell us about your team's current skill level and what you want them to be able to do — we'll design the right programme.