From Chaos to Dashboard: How Power BI Analysts Turn Data Disasters into Decisions That Actually Stick

INTRODUCTION As a data related practitioner be it engineering, science or whatever your cup of tea is, we often receive files that look like a dataset but act like a hostage situation. But here's the thing about being a data professional, there is no negotiating team coming and the hostage negotiator is you. The hostage is your KPIs. And the ransom? Your ability to turn this crime scene of a spreadsheet into something stakeholders can nod at during a Tuesday morning meeting. Power Bi has proven to be a resourceful tool in the translation of this messy data to actionable insights through the use of a couple of tools that are made available. The process can simply broken down into three key stages that we will get into in a moment: Data Cleaning. Data Enrichment. Data Visualization. 1. Data Cleaning. This being the very first stage and a vital bit of the process, the first step involved in this phase would be to check on the validity of the data given. If you can not trust the data given