Data Analytic and Accounting

Today, I am going to write about the importance of data analytics to accounting profession. In the same write up, I would look at various types of data analytics and its application in various activities being undertaken in an organization by accountants.

Accountants use data analytics to help businesses uncover valuable insights within their financials, identify process improvements that can increase efficiency, and better manage risk. Accountants will be increasingly expected to add value to the business decision making within their organizations and for their clients. A strong facility with data analytics gives Accountant the tools to help strengthen their partnership with business leaders.

Below, I would consider few examples where data analytics is applied within the accounting profession:

Auditors, both those working internally and externally, can shift from a sample-based model to employ continuous monitoring where much larger data sets are analyzed and verified. The result: less margin of error resulting in more precise recommendations.

Tax accountants use data science to quickly analyze complex taxation questions related to investment scenarios. In turn, investment decisions can be expedited, which allows companies to respond faster to opportunities to beat their competition — and the market — to the punch.

Accountants who assist, or act as, investment advisors use big data to find behavioral patterns in consumers and the market. These patterns can help businesses build analytic models that, in turn, help them identify investment opportunities and generate higher profit margins.

We have seen above few areas where big data is applied in the accounting profession. Now, we to better appreciate what time of data to use and in what scenario, we would look at four different types of data analytics below, thus;

Descriptive Analytics

This is most often used data analytics and includes the categorization and classification of information. Accountants report on the flow of money through their organizations: revenue and expenses, inventory counts, VAT tax collected. Accurate reporting is a hallmark of solid accounting practices. Compiling and verifying large amounts of data is important to this accurate reporting.

Predictive Analytics

Here, data is used to assess the likelihood of future outcomes. Accountants are instrumental in building forecasts and identifying patterns that shape those forecasts. When accountants act as trusted advisors and build forecasts, business leaders grow increasingly confident in following them.

Prescriptive Analytics

Major operations and most important business decisions arise from prescriptive analytics. Accountants use the forecasts they create to make recommendations for future growth opportunities or, in some cases, raise an alert on poor choices. This insight is an example of the significant impact that accountants make in the business world.

Diagnostic Analytics

This type of data analytics monitors changes in data and on of Accountant’s responsibility is regularly analyzing variances and calculating historical performance. Because historical precedent is often an excellent indicator of future performance, these calculations are critical to build reasonable forecasts.

As professional with an amazing technical skill therefore, Accountant are used to aggregating information to create a picture of an organization that summarizes the details contained in each transaction. Working with descriptive analytics, predictive analytics, and prescriptive analytics comes more easily to people who already possess excellent quantitative skills. Moreover, the profession is naturally a problem-solving profession using historical data to predict and forecast possible future occurrence.