This report presents an analytical overview of neurological imaging and statistical data obtained from the Fortune Neurological ClinicDashboard The purpose of this report is to interpret the data in a structured manner, highlight clinical implications, and provide recommendations

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I will like to analys this type of data using python

This month, may your hard work stop being invisible. May interviews turn into offers, pitches turn into offers, and late nights turn into opportunities. May God bless the work of your hands and reward the discipline people don’t see. Happy new month.

Many tech schools teach Data Analysts, the tools and focus heavily on design, and yes, good design matters. But from experience, reports break down when teams ignore some of the real operational practices listed below: • Clear ownership: who’s accountable when numbers change, • Validation checks: reconciling reports back to source data, • Data lineage: tracing where each metric comes from, • Access control: managing who can view or edit, • Scalabilty: planning for growth in users and data, • User alignment: building what people actually need, • Source control: managing changes safely • Stakeholder priority shifts: handling evolving business questions and many more. These are the practices that keep dashboards trusted in real organisations.

Beautifully done..

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Every Monday morning at Saint Freedom Health, the same conversation happened, but in two different languages. Kunle from Finance would walk into the boardroom, staring at his spreadsheets. All he saw was the ₦12.9M outstanding balance and a collection rate that was sitting at 56.2%. To him, the hospital was a "leaky bucket" of revenue. "We need to tighten the belt," he’d say. "The numbers aren't adding up." On the other side of the table sat Folashade, the Medical Director. She wasn't looking at the naira; she was looking at the people. She was worried about why 27.3% of their patients were hypertensive and why clinical risk factors were trending upward. To her, "tightening the belt" meant compromising on the care that kept those 2,000 patients alive. The problem? Kunle didn't see the patients, and Folashade didn't see the payroll. They were two captains steering the same ship in different directions. That’s where the data comes in. I built this two-page dashboard to be the bridge between Kunle’s ledger and Folashade’s stethoscope. Page 1 (The Pulse of the Patient): Gives Folashade a 360-degree view of population health, from BMI distributions to real-time vitals trends. Page 2(The Pulse of the Business): Gives Kunle the clarity he needs on claims, revenue by payer, and AR days. No more guessing where the money is stuck. When we put these two pages together, the conversation changed. Kunle realized that healthy, well-managed patients lead to better insurance claims. Folashade realized that a financially stable hospital is the only way to afford the best equipment. At Saint Freedom Health, we’ve stopped speaking two different languages. We’ve started speaking the language of Data. Because at the end of the day, you can’t have clinical excellence without financial sustainability, and you can’t have either without a clear view of the truth. To my Health Professionals & Data Community: I’m curious to hear your thoughts. Does this capture the reality of the "Finance vs. Clinical" tension in healthcare? How did I do with the metrics? Do these KPIs give you enough direction to make a decision? I’d love your feedback in the comments! 👇 Tool: @msexcel #DataAnalytics #HealthIT  #HealthcareManagement #BusinessIntelligence  #DataStorytelling #Excel

As a tech professional, one mistake to avoid is overlearning. Taking in too much information at once can lead to confusion, mental overload, and reduced ability to apply what you’ve learned effectively.

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