Integrate Microsoft Excel with Nimble

Appy Pie Connect allows you to automate multiple workflows between Microsoft Excel and Nimble

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About Microsoft Excel

Microsoft Excel is an application program for calculations and data management, which generates spreadsheets, and functions as a database. It makes it easier to organize, analyze and present data while helping to make informed business decisions based on the analysis.

About Nimble

Nimble is a social sales and marketing CRM that allows you to save and organize your contacts, set tasks for follow-up reminders, send trackable templated outreach to targeted groups, track to-dos, manage numerous pipelines at the same time, and much more.

Nimble Integrations

Best Microsoft Excel and Nimble Integrations

  • Microsoft Excel Integration Nimble Integration

    Microsoft Excel + Nimble

    Create task to Nimble from New Worksheet in Microsoft Excel Read More...
    Close
    When this happens...
    Microsoft Excel Integration New Worksheet
     
    Then do this...
    Nimble Integration Create task
  • Microsoft Excel Integration Nimble Integration

    Microsoft Excel + Nimble

    Create Contact to Nimble from New Worksheet in Microsoft Excel Read More...
    Close
    When this happens...
    Microsoft Excel Integration New Worksheet
     
    Then do this...
    Nimble Integration Create Contact
  • Microsoft Excel Integration Nimble Integration

    Microsoft Excel + Nimble

    Create task to Nimble from New Row in Table in Microsoft Excel Read More...
    Close
    When this happens...
    Microsoft Excel Integration New Row in Table
     
    Then do this...
    Nimble Integration Create task
  • Microsoft Excel Integration Nimble Integration

    Microsoft Excel + Nimble

    Create Contact to Nimble from New Row in Table in Microsoft Excel Read More...
    Close
    When this happens...
    Microsoft Excel Integration New Row in Table
     
    Then do this...
    Nimble Integration Create Contact
  • Microsoft Excel Integration Microsoft Excel Integration

    Nimble + Microsoft Excel

    Add Row to Table in Microsoft Excel when New Contact is created in Nimble Read More...
    Close
    When this happens...
    Microsoft Excel Integration New Contact
     
    Then do this...
    Microsoft Excel Integration Add Row to Table
  • Microsoft Excel Integration {{item.actionAppName}} Integration

    Microsoft Excel + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Microsoft Excel + Nimble in easier way

It's easy to connect Microsoft Excel + Nimble without coding knowledge. Start creating your own business flow.

    Triggers
  • New Row in Table

    Triggers when a new row is added to a table in a spreadsheet.

  • New Worksheet

    Triggers when a new worksheet is added to a spreadsheet.

  • New Contact

    Triggers when you add a new contact.

    Actions
  • Add Row to Table

    Adds a new row to the end of a specific table.

  • Create Contact

    Creates a new contact.

  • Create task

    Create a new task.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Microsoft Excel & Nimble Integrations Work

  1. Step 1: Choose Microsoft Excel as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Nimble as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Microsoft Excel to Nimble.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Microsoft Excel and Nimble

Microsoft Excel

Microsoft Excel is a spreadsheet application that can be used to efficiently work with big data. Spreadsheets are the numerical tables that allow manipulating data in tabular form. It is primarily used for accounting and calculation of figures, but it can be used for other purposes as well. Microsoft Excel is one of the most widely used business applications in the entire world. It has many different functionalities and worksheets. These sheets are separated in tabs at the top of the screen. For example, there is one tab for simple calculations, one for formatting, one for charts, etc. The user can save any changes he makes within the software. This helps the user to go back to previous versions of the file when necessary. There are many different ways of accessing spreadsheets through Microsoft Excel. For example, users can view them on their computer, share them through email or save them to cloud storage. Also, they can access Excel files through mobile apps. This means that people can access their files while they are away from their computers.

Nimble

Nimble is an online database based on NoSQL architecture. It provides data storage, backup, sharing and analytics. It enables users to analyze their data in order to gain insight into the company’s activity. Users are able to view which parts of their products are more popular, what kind of products are spd during certain time periods, which sales representatives are performing better than others, etc. Nimble makes these operations extremely simple by creating an interface where users can easily visualize their data. They can group data in different ways, make personal queries and save the results in different formats. It also enables users to explore information visually through graphs and charts.

Integration of Microsoft Excel and Nimble

Integration of Microsoft Excel and Nimble enables users to perform analyses on large amounts of data using sophisticated methods that are not available in Excel alone. One of the biggest advantages of integration between these two services is that it allows users to see all their data in one place. It also allows users to seamlessly filter their data based on parameters in Excel in order to receive only the necessary information in Nimble. After this, users can create complex queries in Nimble, which will give them meaningful insights into their company’s activities. This feature eliminates unnecessary time spent on filtering data within Excel and allows users to spend more time on analyzing it. Another advantage of integration between Microsoft Excel and Nimble is that it allows users to save hours of work by performing repetitive tasks automatically. For example, if users want to create reports about which product was spd more often in August 2017 than in August 2016, they would have to manually filter the data every time they wanted to compare it with previous years’ data. However, if they integrated the two services, the second task would be automated and would only take a few minutes instead of several hours like before.

Benefits of Integration of Microsoft Excel and Nimble

Integration of Microsoft Excel and Nimble gives users three main benefits which are detailed below.

First Benefit. Saving Time

As aforementioned, integration between Microsoft Excel and Nimble allows users to save hours of work that would otherwise be wasted on repetitive tasks which should be performed manually. For example, if a user wants to create a report about which product was spd more often in August 2017 than in August 2016, he would have to manually filter the data every time he wanted to compare it with previous years’ data. However, if he integrated the two services, this task would be automated and would only take a few minutes instead of several hours like before. Another example would be if a user wants to create a report about which sales representative spd more products than others during a certain period of time. In this case, he would have to select the sales representatives from a list manually every time he wanted this report. If he integrated his spreadsheet with Nimble, this automatic selection would be done for him without needing to do anything extra. Thus, integration is a time-saving feature that greatly improves user experience when working with big amounts of data in a spreadsheet environment.

Second Benefit. Sharing Data Easily Between Different Users

Another benefit of integration between Microsoft Excel and Nimble is that it enables users to share their data easily between different users without giving them access to their original spreadsheet files. In order to use the sharing function, a user needs to add a “Share with” button from Nimble’s menu bar when working with a spreadsheet in Microsoft Excel. Then, he needs to select one or multiple recipients in order to share his file with them in a secure way that won’t expose his credentials or original file content in any way. Also, once recipients receive these links from which they can access shared spreadsheets, they won’t need any special software because they can just open them within their browser like any other website. This procedure allows users to share spreadsheets easily without exposing them outside their company’s network environment via email or cloud storage.

Third Benefit. Leveraging Large Amounts of Data with Advanced Analytics Tops

Another advantage of integration between Microsoft Excel and Nimble is that it allows users to leverage large amounts of data by using advanced analytics tops like Spark and Apache Beam (formerly known as Google Cloud Dataflow. These tops enable users to handle big data vpumes efficiently and give them more options for analysis than they would get if they were working with Excel alone. Both of these tops rely on analytical paradigms such as MapReduce which allow distributed computing environments such as Hadoop and Spark to process large amounts of data simultaneously on different computing nodes on a cluster. This allows users to process large amounts of data faster than they could if they had been working with Excel alone because it relies on memory storage only while MapReduce allows processing large amounts of data by relying on disk storage as well. Also, both Spark and Apache Beam provide more advanced analytical features than what is provided by Excel alone such as graph analysis and machine learning capabilities that allow users to derive more meaningful insights from their data than before. Both tops also rely on frameworks such as PySpark which allow developers to write analytical code using Python language without requiring them to understand how MapReduce works under the hood since all this is handled automatically by Spark or Apache Beam behind the scenes. As seen above, integration between Microsoft Excel and Nimble enables users to leverage large amounts of data with advanced analytics tops that are not available within Excel alone so it significantly increases user experience compared to working purely with Excel alone for big data analysis purposes.

The process to integrate Microsoft Excel and Nimble may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.