Understanding the Complete Data Journey: From Business Problem to Prediction in Microsoft Fabric

This training session is designed for attendees who are new to data, haven’t found their niche, or decision makers who want to understand how a complete data solution is built from start to finish. It focuses on the full journey, from a business problem to insight and prediction, showing every step involved and explaining concepts clearly, without assuming prior technical experience.

Using a realistic business scenario, a company that is losing customers (customer churn), attendees will be taken on an end-to-end data journey using Microsoft Fabric. Starting with raw, imperfect data, we will use Fabric pipelines and dataflows to ingest, clean, and shape the data so we can identify where customers are leaving and the impact on the business. We will then model the data to support analysis and reporting before going further to explore why churn is happening and how predictive models built in Fabric notebooks can help identify which customers are likely to leave next.

The session is built around a continuous, practical demonstration, with each stage building on the last. There will be guided, introductory coding within Fabric notebooks as well as clicky-clicky-draggy-droppy pipeline creation. The aim is not to turn attendees into developers, but to demystify what the code is doing, why it exists, and how it fits into a wider data solution that supports both analytics and machine learning.

While the day is based on customer churn, the techniques and thinking shown apply to every data scenario, including sales performance, operational reporting, forecasting, and customer behaviour. Attendees will leave with a clear mental model of the entire data lifecycle and a better understanding of how tools like pipelines, dataflows, and notebooks work together within Fabric.

By attending this training day, you will:

-Understand how business problems translate into data and analytical solutions
-Learn why data quality, modelling, and preparation are critical foundations
-See how analytics and machine learning build on the same underlying data
-Gain confidence engaging with data solutions, even without a development background
-Leave with a transferable framework that can be applied to most real world data problems

This is a ‘zero to hero’ training day that shows how data, analytics, and machine learning come together in Microsoft Fabric to support better business decisions.

-Understand how business problems translate into data and analytical solutions
-Learn why data quality, modelling, and preparation are critical foundations
-Leave with a transferable framework that can be applied to most real world data problems

A laptop and access to the internet.