A complete, practical data analytics training programme — covering data cleaning, transformation, modelling, DAX calculations, Power BI visualisation and data storytelling. Using your industry's real data throughout.
Most organisations collect enormous data every day — from ERP systems, CRMs, production lines, sales teams and finance departments. But most of it sits in Excel files and siloed systems, never turned into the insights that drive better decisions.
A structured, practical 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 they can show leadership immediately.
Multiple sources, multiple formats, no unified view. Nobody knows the "right" number because everyone has a different spreadsheet.
Manual cleaning, copy-pasting from ERP exports, fixing formatting — before any actual analysis can begin.
Static Excel charts 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 when they're on leave. Analytics must be distributed.
Six competencies, taught in sequence — each building on the last, leading to a complete analytics workflow.
Excel & Power Query
M Language
Power Pivot & DAX
DAX Measures
Power BI Reports
Insights & Decisions
Six concrete, measurable outcomes — not just concepts.
Remove errors, fix inconsistencies and standardise messy ERP exports using Power Query — in minutes, not hours.
Unpivot tables, merge multiple sources, append monthly files, apply conditional logic — fully automated and refreshable.
Design a star schema with fact and dimension tables, set up a Date Table, define relationships — properly.
CALCULATE, time intelligence (YTD, prior year), RANKX, running totals, % of total — KPIs your leadership actually needs.
Right visual for the question, visual design principles, bookmarks, drillthrough — and publish a live interactive report.
Present insights, not just charts. Structure findings as a narrative, highlight the "so what" and drive action.
Four steps from needs assessment to a live dashboard deliverable.
We discuss your team's skill level, the data they work with, reports they produce and KPIs that matter — then design the curriculum accordingly.
We prepare practice datasets mirroring your industry — pharma sales data, manufacturing production data, or FMCG retail data — so every lab is immediately relevant.
Hands-on, lab-heavy sessions. For every concept taught, participants apply it immediately. By Day 3 they're building their own complete Power BI dashboard from scratch.
Participants leave with a working Power BI report they built during training. Lifelong email support helps them apply skills to real-world challenges.
The same analytics journey, adapted for different functions using industry-relevant datasets.
P&L, budget vs actual, cash flow, AR/AP ageing — using data from your ERP or accounting system.
Target vs achievement, regional comparison, product performance, customer analytics and pipeline dashboards.
Production output, OEE, inventory levels, supplier performance and logistics KPIs using manufacturing datasets.
Headcount trends, attrition, recruitment funnel, training completion and payroll cost analytics.
The complete journey without a domain focus — ideal for MIS teams, analysts and cross-functional groups.
Batch tracking, quality metrics, regulatory compliance dashboards, production planning and yield analysis.
A pharma company's MIS team of 6 analysts spent 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 — connecting all 4 regional files and refreshing daily.
Tell us your team's current skill level and what you need them to do. We'll design the right programme — and they'll leave with a live dashboard they built themselves.
