GADS

Harness the Power of Data Analytics: Transform Excel Sheets into Actionable Insights

Harness the Power of Data Analytics: Transform Excel Sheets into Actionable Insights


It’s a common issue: your department saves data in Excel, and users need to extract insights from these files, but many are not Excel-savvy. Excel dashboards are useful, but they’re constrained to preset criteria. Sharing raw Excel files doesn’t help because your users lack the necessary knowledge to manipulate the data.

The Agile Analytics Solution

The Agile Analytics Data Explorer, integrated with the LLM model (think a secure Chat GPT) , is designed to address this issue. This tool allows you to import Excel files and provide data views to users, enabling them to ask direct questions and gain immediate insights. 

The following steps can be completed in minutes, resulting in the ability for any of your users to be able to gain immediate insights by asking questions in plain English.

Step-by-Step Guide to Agile Analytics Data Explorer

  • Step 1: Import your data (30 seconds to set up) and give it a name (we will upload Sales data and call it “My Sales”). Now users can view and filter and filter the data easily
A screenshot of a black screen

Description automatically generated
  • Step 2: Select the imported data and get data insights by asking questions in plain English (30 seconds to set up)
  • Step 3: Give other users access (10 seconds to set up)

Users can now come and click on any data set and query the data any way they want by asking questions in plain English, such as “Give me the data for Country India”

Users can ask for more complex Analytics, including grouping and filtering, as well as trends. “Give me the total profit group by country and item type and total profit is greater than 10,000” 

By implementing some simple steps, users can utilize an interactive, intuitive data exploration platform that will supercharge data analysis capabilities.



Summarizing the Agile Analytics Advantage

Unleashing the power of data is crucial for strategic decisions in your business. By turning Excel data into a form that can be queried using natural language, clients can empower even the most non-tech-savvy users to extract the insights they need, without grappling with complex Excel functions or SQL language.



Frequently Asked Questions about Agile Analytics

The Agile Analytics Data Explorer imports Excel files and turns them into query-ready databases. Users can then ask direct questions to gain insights.

 

 

No, users can query the database using simple English questions. SQL knowledge is not required.

Yes, when you create a Data View, you can decide who has access to the data, ensuring it remains secure.

Frequently Asked Questions

Releated Post

Harness the Power of Data Analytics: Transform Excel Sheets into Actionable Insights


It’s a common issue: your department saves data in Excel, and users need to extract insights from these files, but many are not Excel-savvy. Excel dashboards are useful, but they’re constrained to preset criteria. Sharing raw Excel files doesn’t help because your users lack the necessary knowledge to manipulate the data.

The Agile Analytics Solution

The Agile Analytics Data Explorer, integrated with the LLM model (think a secure Chat GPT) , is designed to address this issue. This tool allows you to import Excel files and provide data views to users, enabling them to ask direct questions and gain immediate insights. 

The following steps can be completed in minutes, resulting in the ability for any of your users to be able to gain immediate insights by asking questions in plain English.

Step-by-Step Guide to Agile Analytics Data Explorer

  • Step 1: Import your data (30 seconds to set up) and give it a name (we will upload Sales data and call it “My Sales”). Now users can view and filter and filter the data easily
A screenshot of a black screen

Description automatically generated
  • Step 2: Select the imported data and get data insights by asking questions in plain English (30 seconds to set up)
  • Step 3: Give other users access (10 seconds to set up)

Users can now come and click on any data set and query the data any way they want by asking questions in plain English, such as “Give me the data for Country India”

Users can ask for more complex Analytics, including grouping and filtering, as well as trends. “Give me the total profit group by country and item type and total profit is greater than 10,000” 

By implementing some simple steps, users can utilize an interactive, intuitive data exploration platform that will supercharge data analysis capabilities.



Summarizing the Agile Analytics Advantage

Unleashing the power of data is crucial for strategic decisions in your business. By turning Excel data into a form that can be queried using natural language, clients can empower even the most non-tech-savvy users to extract the insights they need, without grappling with complex Excel functions or SQL language.



Frequently Asked Questions about Agile Analytics

The Agile Analytics Data Explorer imports Excel files and turns them into query-ready databases. Users can then ask direct questions to gain insights.

 

 

No, users can query the database using simple English questions. SQL knowledge is not required.

Yes, when you create a Data View, you can decide who has access to the data, ensuring it remains secure.

Subscribe to our Newsletter
Recent Post