
Picture by Editor | ChatGPT
# Introduction
NotebookLM is a strong AI device launched by Google. It’s designed to reinforce analytical capabilities via superior pure language processing and insightful summarizations. One in every of its most fascinating purposes is the power to generate insights, summaries, and even audio overviews from paperwork. Whereas NotebookLM doesn’t instantly assist Excel (.xlsx) information, you possibly can simply export your Excel information to appropriate codecs like PDF or TXT for evaluation.
This tutorial will present you the best way to analyze your Excel spreadsheets with NotebookLM.
# Step 1: Making ready and Exporting Excel Spreadsheets
Let’s contemplate a quarterly enterprise report with information on gross sales, bills, revenue, and buyer satisfaction scores throughout totally different areas and product classes. The aim is to research this information to trace efficiency and establish tendencies.
To investigate this information utilizing NotebookLM, export your spreadsheet:
- Go to the File tab > choose Save As > choose PDF/TXT from the file sort dropdown, and click on Save.
- A PDF will retain visible formatting, whereas a TXT file ensures pure text-based information appropriate for detailed textual evaluation.
Be sure that exported information have clear headers, correct numerical information, and constant formatting.
# Step 2: Importing Information to NotebookLM
After exporting the spreadsheet into an acceptable format (PDF or TXT), open NotebookLM in your browser.
- Choose Add File > select your exported PDF or TXT file
- Click on Open
NotebookLM will quickly scan and digest the content material of your information, making ready it for interactive querying.
# Step 3: Analyzing Information with NotebookLM
When you add the file, NotebookLM mechanically generates a abstract, permitting you to start exploring your spreadsheet information.
NotebookLM additionally suggests related questions. You’ll be able to both sort your individual query or choose one of many mechanically generated prompts to start your evaluation.
As you work together with the device, it suggests new prompts, guiding you towards deeper insights.
Regional Insights:
Let’s establish high-performing areas or merchandise via pure language queries akin to:
Which area had the very best gross sales in Q2?
What product confirmed the best profitability enhance?
NotebookLM Response:
“To find out which product confirmed the best profitability enhance, we are going to examine the change in revenue from Q1 to This fall for every product class.
Right here is the profitability enhance for every product:
- Laptop computer (North Area)
- Q1 Revenue: $35,000
- This fall Revenue: $60,000
- Revenue Improve: $60,000 – $35,000 = $25,000
- Smartphone (South Area)
- Q1 Revenue: $35,000
- This fall Revenue: $45,000
- Revenue Improve: $45,000 – $35,000 = $10,000
- Pill (East Area)
- Q1 Revenue: $20,000
- This fall Revenue: $30,000
- Revenue Improve: $30,000 – $20,000 = $10,000
- Equipment (West Area)
- Q1 Revenue: $15,000
- This fall Revenue: $25,000
- Revenue Improve: $25,000 – $15,000 = $10,000
Primarily based on these calculations, the Laptop computer within the North Area confirmed the best profitability enhance, with its revenue rising by $25,000 from Q1 to This fall. This product additionally constantly held the very best revenue figures all year long, as famous in our earlier dialog about total revenue [Conversation History]”.
NotebookLM first offers detailed calculations after which presents the ultimate reply. That is notably helpful for customers who wish to see the underlying evaluation, not simply the conclusion. This degree of element might be very useful for stakeholders who want to know the important thing insights from quarterly gross sales information.
Buyer Insights:
To grasp buyer conduct, you need to use the next immediate.
What is the common buyer satisfaction rating?
NotebookLM Response:
“To calculate the typical buyer satisfaction rating, we have to sum all the person buyer satisfaction scores offered within the sources after which divide by the whole variety of scores.
Listed here are the shopper satisfaction scores for every product, area, and quarter:
- Laptop computer (North Area) Q1: 88%
- Smartphone (South Area) Q1: 85%
- Pill (East Area) Q1: 80%
- Equipment (West Area) Q1: 90%
- Laptop computer (North Area) Q2: 87%
- Smartphone (South Area) Q2: 83%
- Pill (East Area) Q2: 82%
- Equipment (West Area) Q2: 89%
- Laptop computer (North Area) Q3: 89%
- Smartphone (South Area) Q3: 84%
- Pill (East Area) Q3: 81%
- Equipment (West Area) Q3: 91%
- Laptop computer (North Area) This fall: 90%
- Smartphone (South Area) This fall: 86%
- Pill (East Area) This fall: 83%
- Equipment (West Area) This fall: 92%
Summing these scores: 88 + 85 + 80 + 90 + 87 + 83 + 82 + 89 + 89 + 84 + 81 + 91 + 90 + 86 + 83 + 92 = 1380
There are 16 particular person buyer satisfaction scores recorded throughout all merchandise and quarters.
Now, divide the whole sum by the variety of scores: 1380 / 16 = 86.25
Subsequently, the common buyer satisfaction rating is 86.25%“.
NotebookLM’s detailed response validates the end result mechanically, guaranteeing its accuracy.
# Step 4: Creating an Audio Overview
One attention-grabbing characteristic of NotebookLM is its potential to generate audio overviews of uploaded content material. It could actually convert textual summaries into audio overviews, making it simple to soak up data:
- You need to use the “Audio Overview” possibility in NotebookLM.
- Or to create a custom-made audio abstract, merely immediate NotebookLM with: “Present an audio overview summarizing key tendencies from this quarterly information”.
NotebookLM will generate an audio file that you could obtain. This file concisely summarizes important insights, making it preferrred for shows or government briefings. You may also stream the audio overview, which facilitates simple overview throughout commutes or conferences.
# Step 5: Visualizing Insights with Thoughts Maps
NotebookLM additionally gives thoughts maps, that are an effective way to visualise relationships and key factors extracted out of your information.
- In NotebookLM, you possibly can click on “Thoughts map”.
- Or immediate the system clearly: “Generate a thoughts map summarizing relationships and insights into the quarterly gross sales information”.
- As soon as the Thoughts Map is created, it opens from the right-side bar.
- It mechanically considers main insights as central nodes, branching into detailed factors akin to regional gross sales efficiency, product profitability, and buyer satisfaction tendencies.
- You’ll be able to customise the thoughts map by dragging nodes, including notes, or highlighting important insights.
This thoughts map visually highlights connections between merchandise, areas, efficiency metrics, and buyer satisfaction, permitting for simple interpretation and communication of advanced data. This visible illustration additionally aids reminiscence retention and clarifies advanced information relationships.
# Step 6: Making Strategic Selections Utilizing NotebookLM Insights
After exploring and analyzing the information with NotebookLM, you will be geared up with actionable insights that may information decision-making.
As an example, if the evaluation reveals rising gross sales however shrinking revenue margins for a product, this would possibly point out the necessity to overview pricing methods or provide chain efficiencies.
Alternatively, if buyer satisfaction stays constantly excessive in a sure area, you possibly can apply that area’s customer support practices in low-performing areas.
# Conclusion
You’ll be able to leverage NotebookLM to research your Excel spreadsheets. Although NotebookLM doesn’t but instantly settle for Excel spreadsheet information, exporting information to PDF or plain textual content simply bridges that hole. It offers a strong means to uncover actionable insights simply and effectively. Whether or not producing concise audio summaries or detailed thoughts maps, NotebookLM transforms the way you have interaction with information, streamlining evaluation and decision-making processes.
Shamima Sultana works as a Venture Supervisor at ExcelDemy, the place she does analysis on Microsoft Excel and writes articles associated to her work. Shamima holds a BSc in Laptop Science and Engineering and has an awesome curiosity in analysis and growth. Shamima likes to study new issues, and is making an attempt to supply enriched high quality content material concerning Excel, whereas all the time making an attempt to assemble data from varied sources and making modern options.