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How to Turn an Excel Spreadsheet Into an App

excel to web app

Microsoft Excel remains the software solution of choice for millions of businesses worldwide. This software is favored for its versatility and flexibility, as well as for the depth of data manipulation and analysis it allows. The Open as App platform allows Excel spreadsheets to be turned into apps within minutes, overcoming some of the challenges in using Excel. If you really want to excel to web app then you can visit our website.

Excel can be used for any task, from collecting data to planning projects, analyzing risks, to generating quotes, predicting financial results, or even production planning and order management.

But when it comes to using Excel collaboratively or protecting the data efficiently, that’s when things get messy. Suddenly, your Excel spreadsheet crashes, data is corrupt, and you don’t know if you’re using the latest version. Excel files that are unmanaged are prone to this problem, but managed ones are sometimes affected as well.

If this is the case, you may want to convert your Excel spreadsheet into a native or web application. Data management, distribution, and protection errors can be reduced as a result, and usability will also improve.

Why should you turn your Excel spreadsheet into an app?

Despite their usefulness, spreadsheets can quickly become “Excel Hell” due to one or two simple mistakes. During the so-called “London Whale” incident, JP Morgan lost about $6.5 billion due to several faulty equations and copied-pasted cells.

What are the reasons spreadsheets fail and how can an app help you avoid them?

#1. Spreadsheet version control is hard

Since spreadsheets are constantly circulated, it is likely that the latest version will disappear sooner or later. Moreover, updates by different people can end up destroying the file’s core data and making it unusable.

As soon as you move your data to an app, you can restrict access to the “master version” of your spreadsheet and only allow admin access. In this scenario, users are only given access to specific data and fields, while everything else is hidden. This As a result, they are able to conduct the required operations without accidentally corrupting the native spreadsheet.

#2. Excel does not work like a database and is difficult to scale

Excel can be a good place to store and manipulate data, but it does not offer the functionality of a database, or more specifically, of a data management system. Excel cannot handle complex data types, nor can it handle relations between files and records. As a result, you are limited in the operations you can perform.

When used on a desktop computer and not online, spreadsheets do not allow for real-time multi-user input. In the end, your spreadsheet becomes a hindrance to scaling operations and improving efficiency. Further complicating matters is the fact that operations become slower and more cumbersome as files grow in size.

By making an app from your spreadsheet, you can provide your users with flexible and easy access to data, as well as data collection from a variety of sources, not just Excel. Plus, you can share your know-how with multiple users without the risk of them overwriting your work or exposing your data.

#3. Apps offer greater security

Even though Excel offers a certain level of security, such as password protection, it can fairly easily be bypassed. It is not a good idea to keep your data in a spreadsheet that is publicly accessible if you want to keep it safe.

By turning your Excel spreadsheet into an app, you effectively remove user access to the source file, encrypt the data, and host it securely on your own servers. Users at the admin level will have access to it. This ensures the integrity and safety of the data. You can also decide who can see your data and completely restrict access to third parties. You can even set an expiration date for your app after which it will no longer be accessible.

To ensure even greater security, you can create your app with dummy data and then populate it with your original data later on.

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