You already have it. It’s called Excel.
Most professionals I talk to are sitting on valuable data (MLS exports, loan pipelines, past clients)… but they’re not using it.
Let me show you what “basic analytics” actually looks like 👇
📊 1. Descriptive Analytics (What already happened)
Start simple:
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Average sales price
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Days on market
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List price vs. sold price
This is straight out of foundational statistics, where we summarize data using averages and distributions
👉 In Excel:
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=AVERAGE() -
Pivot Tables
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Basic charts
If you can answer: “What’s happening in my market?” — you’re already ahead of 80% of agents.
📈 2. Trend Analysis (What’s changing?)
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Monthly sales volume
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Price trends over time
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Inventory shifts
👉 In Excel:
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Line charts
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Moving averages
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Sorting by date
This is where you stop reacting… and start anticipating.
🔮 3. Intro to Predictive Thinking (What’s likely to happen?)
You don’t need AI (yet).
Start with simple relationships:
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Price vs. square footage
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Days on market vs. price reductions
This is the foundation of regression and correlation (yes… stats you thought you’d never use)
👉 In Excel:
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Scatterplots
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Trendlines
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=FORECAST()
🎯 4. Business Application (Where the money is made)
Now connect it to your business:
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Which price ranges sell fastest?
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Which zip codes are slowing down?
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Where should you prospect?
This is where Excel becomes a lead generation tool, not just a spreadsheet.
💡 Bottom Line:
You don’t need to be a data scientist.
You need to start thinking like one.
Excel → Insights → Conversations → Closings
If you’re an agent or loan officer and want to learn how to:
✔️ Download MLS data
✔️ Analyze your farm area
✔️ Build a predictive seller list
Shoot me a message. I’ll point you in the right direction.
📍 NhanceData
🌐 https://nhancedata.com
📧 robert@nhancedata.com
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