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# Introduction
NotebookLM is a robust AI software launched by Google. It’s designed to enhance analytical capabilities by superior pure language processing and insightful summarizations. One among its most fascinating functions is the flexibility 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 knowledge to appropriate codecs like PDF or TXT for evaluation.
This tutorial will present you analyze your Excel spreadsheets with NotebookLM.
# Step 1: Getting ready and Exporting Excel Spreadsheets
Let’s take into account a quarterly enterprise report with knowledge on gross sales, bills, revenue, and buyer satisfaction scores throughout completely different areas and product classes. The purpose is to research this knowledge to trace efficiency and establish developments.
To investigate this knowledge utilizing NotebookLM, export your spreadsheet:
- Go to the File tab > choose Save As > choose PDF/TXT from the file kind dropdown, and click on Save.
- A PDF will retain visible formatting, whereas a TXT file ensures pure text-based knowledge appropriate for detailed textual evaluation.
Make sure that exported information have clear headers, correct numerical knowledge, and constant formatting.
# Step 2: Importing Knowledge 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 knowledge, getting ready it for interactive querying.
# Step 3: Analyzing Knowledge with NotebookLM
When you add the file, NotebookLM mechanically generates a abstract, permitting you to start exploring your spreadsheet knowledge.
NotebookLM additionally suggests related questions. You’ll be able to both kind your individual query or choose one of many mechanically generated prompts to start your evaluation.
As you work together with the software, it suggests new prompts, guiding you towards deeper insights.
Regional Insights:
Let’s establish high-performing areas or merchandise by pure language queries similar to:
Which area had the very best gross sales in Q2?
What product confirmed the best profitability improve?
NotebookLM Response:
“To find out which product confirmed the best profitability improve, we’ll examine the change in revenue from Q1 to This autumn for every product class.
Right here is the profitability improve for every product:
- Laptop computer (North Area)
- Q1 Revenue: $35,000
- This autumn Revenue: $60,000
- Revenue Improve: $60,000 – $35,000 = $25,000
- Smartphone (South Area)
- Q1 Revenue: $35,000
- This autumn Revenue: $45,000
- Revenue Improve: $45,000 – $35,000 = $10,000
- Pill (East Area)
- Q1 Revenue: $20,000
- This autumn Revenue: $30,000
- Revenue Improve: $30,000 – $20,000 = $10,000
- Equipment (West Area)
- Q1 Revenue: $15,000
- This autumn Revenue: $25,000
- Revenue Improve: $25,000 – $15,000 = $10,000
Based mostly on these calculations, the Laptop computer within the North Area confirmed the best profitability improve, with its revenue rising by $25,000 from Q1 to This autumn. 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 gives 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 understand the important thing insights from quarterly gross sales knowledge.
Buyer Insights:
To grasp buyer conduct, you should use the next immediate.
What is the common buyer satisfaction rating?
NotebookLM Response:
“To calculate the common buyer satisfaction rating, we have to sum all the person buyer satisfaction scores offered within the sources after which divide by the overall variety of scores.
Listed below are the client 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 autumn: 90%
- Smartphone (South Area) This autumn: 86%
- Pill (East Area) This autumn: 83%
- Equipment (West Area) This autumn: 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 overall sum by the variety of scores: 1380 / 16 = 86.25
Due to this fact, the common buyer satisfaction rating is 86.25%“.
NotebookLM’s detailed response validates the outcome mechanically, guaranteeing its accuracy.
# Step 4: Creating an Audio Overview
One attention-grabbing characteristic of NotebookLM is its capacity to generate audio overviews of uploaded content material. It might convert textual summaries into audio overviews, making it simple to soak up data:
- You need to use the “Audio Overview” choice in NotebookLM.
- Or to create a custom-made audio abstract, merely immediate NotebookLM with: “Present an audio overview summarizing key developments from this quarterly knowledge”.
NotebookLM will generate an audio file that you would be able to obtain. This file concisely summarizes important insights, making it ultimate for displays or government briefings. It’s also possible to stream the audio overview, which facilitates simple evaluate throughout commutes or conferences.
# Step 5: Visualizing Insights with Thoughts Maps
NotebookLM additionally affords thoughts maps, that are an effective way to visualise relationships and key factors extracted out of your knowledge.
- 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 knowledge”.
- 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 similar to regional gross sales efficiency, product profitability, and buyer satisfaction developments.
- 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 straightforward interpretation and communication of advanced data. This visible illustration additionally aids reminiscence retention and clarifies advanced knowledge relationships.
# Step 6: Making Strategic Choices Utilizing NotebookLM Insights
After exploring and analyzing the information with NotebookLM, you may be outfitted with actionable insights that may information decision-making.
For example, if the evaluation exhibits rising gross sales however shrinking revenue margins for a product, this would possibly point out the necessity to evaluate 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 knowledge to PDF or plain textual content simply bridges that hole. It gives a robust 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 knowledge, streamlining evaluation and decision-making processes.
Shamima Sultana works as a Challenge Supervisor at ExcelDemy, the place she does analysis on Microsoft Excel and writes articles associated to her work. Shamima holds a BSc in Pc Science and Engineering and has an excellent curiosity in analysis and growth. Shamima likes to be taught new issues, and is making an attempt to offer enriched high quality content material relating to Excel, whereas all the time making an attempt to assemble data from numerous sources and making progressive options.
