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Data analytics techniques used by Accountants

Accountants use data analytics to help them in their work, including understanding trends and making predictions that will aid business decisions. In this article, I will discuss how accountants can use data analytics in their profession.


We found that accountants are very familiar with the concept of descriptive analytics. Descriptive analytics is the process of collecting data, performing analysis on it, and then generating reports. This can be used to determine what is occurring and potentially predict what might occur in the future.


Business operations teams often use descriptive analytics to evaluate trends in revenue or costs over time or by product, customer, geographic area, etc. Accountants have access to more detailed data than the business operations team because they can connect the financial information with other information like personnel records and tax filing information from customers. This allows them to generate even more valuable reports for their organisation.


Derived and predictive analytics are two other types of analytics that accountants can use. Derived analytics is the process of analysing historical data to make predictions about future spending or revenue based on projections for changes in economic conditions or other factors. Predictive analytics is the process of using statistical models to forecast future transactions, outcomes, and trends. This can help determine what will happen next so organizations can plan accordingly and counteract negative effects before they occur. Business owners typically use predictive analytics to project things like how much cash flow they’ll have in the next period if their business plans will pan out as expected. Accountants can use this type of analytics to prepare.


Another kind of analytics that accountants can use is experimentation and decision support. Experimentation involves the use of In-sample and Out-of-sample testing with a control group to determine whether results are statistically significant. Decision support uses technology or algorithms to help make decisions about how to proceed with a problem. For example, accountants may need to decide on the best way of calculating depreciation tax credits for certain new assets. They can turn to a decision support system that will provide them with many options for their clients and help them select the best option to apply for each asset.


What accountants mainly use data analytics is to:

1. Manage and improve organisational performance.

With the ability to collect and analyse data across multiple clients, accountants can provide their organisations with meaningful performance data. This level of analysis can help them identify areas of weakness and develop strategies to improve their performance.

2. Manage Risk

The external forces that can affect a company’s financial performance are often complex and can vary widely. It is important that your accountants consider these factors when assessing the company’s financial position.


To find out more about how Quick Consols can assist your finance team in transforming and be the best at what they do, Request a free demo today.


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