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An audit trail is a set of records that includes all the manipulations made to a document or device. The list must be created in chronological order and provide comprehensive information about any activity. For example, in a document audit trail of a high quality, you’ll be able to see the history of changes, the name of a user, time of action, their IP addresses, approximate locations, and much more. This option comes in handy while working with process analysis and enhancing security.

An audit trail's primary purpose is to show all the activities in a document/on a device. By having a comprehensive list of records of what, when, and by whom the changes were made, you increase the security level and protect yourself from fraud. Furthermore, in capable hands, it can also function as an analytics widget and assist you in enhancing your company's data analytics workflow.

When it comes to working with research, an audit trail functions as a description of all its steps from the very beginning to reporting results. It helps to make a data analytics workflow more transparent and understandable for people who want to review the outcomes. Of course, you can skip creating these descriptions, but research process analytics is likely to become harder and less engaging for the third parties.

It's a chronological order of records containing evidence for process analytics. Each record tracks all document changes and collects data for identifying the author of these changes. In an audit trail report, you can find the name of a person that modifies a record, their IP address, type of device, operating system, browser, and many more details about a person. Consider checking the log to discover new ways to make your data analytics workflows more efficient and stimulate your business.

Process analysis is the first step to implementing improvements. To perform these analytics, an organization must analyze how it completes tasks, compare inputs with outputs, recognize bottlenecks, and find how to avoid them. In any case, checking existing workflows is a valuable thing needed for business process automation. If you want to make process analysis faster and more illustrative with analytics widgets consider trying airSlate.

A regular process analysis essay includes three main parts: introduction, body, and, specifically, analysis. In the introduction, you need to write what process you analyze and why it's important. In the body, explain what the reader or viewer should have for a procedure. Finally, in process analysis, describe all the steps required for completing a task. Don't forget to use transitions and consider separating different procedure types between paragraphs to help your reader avoid confusion.

Transfer your workflows to airSlate. On this platform, you can automate repetitive tasks and improve data analytics workflows simultaneously. Our service has built-in monitoring tools like analytics widgets, so you can always keep track of all the actions in your Flows. Try using airSlate on your own or visit the airSlate Academy to learn more about implementing automation.

It's definitely airSlate. Its analytic widgets start working right after creating a Flow. All you need is to implement our tool into your workflows. In addition to advanced business process analytics, airSlate helps you to simplify team collaboration, streamline documents, and accelerate many other repetitive tasks. If you're afraid that it might be challenging for you, feel free to join the airSlate Academy, get familiar with business automation for free, and learn how simple it actually is.

Widgets help you receive valuable information in a convenient visual way. Data from analytics widgets is easily comprehensible so that you can get answers to business questions and predict unknown outcomes earlier and, as a result, more efficiently. When you have a visual representation of data, making decisions becomes simpler. Try airSlate – access tools to track all the actions in your workflows and notice how your work is affected with the help of automation.

You can try to build a data analytics workflow in airSlate. It has enough tools to collect information, generate documents, and integrate them with other systems of record. Furthermore, you can even set up automation to complete all the repetitive tasks connected to this workflow by specialized software robots. Try to build your brand new data analytics workflow on your own or enroll in the appropriate airSlate Academy course.

Any data analytics workflow can be divided into five main steps. It all starts with preparing the right unambiguous questions. Then, it continues with information collection. After that, you need to clean up your data and analyze it. In the end, don't forget to interpret the results. You can use a specialized analytics widget to simplify the process and make it more illustrative.

In airSlate, you can configure your Workspace dashboard to show various graphs. Customize it to work with different types of data like the number of signed contracts, collected payments, archived documents, and more. Additionally, track who and how works with the built-in Audit Trail. If you need to save these reports, it's easy to create and save reports in PDF, XLS, or CSV format.