Big Data in Accounting

14/10/2022 0 By indiafreenotes

The use of big data in accounting can open up massive possibilities for growth by providing valuable insights to assist leaders in decision-making regarding finances, compliance, and risk management.



Auditing is the core of the accounting industry. It helps analyze a company’s financial assets and performance. However, in this age, traditional accounting procedures are time-consuming and don’t provide valuable insights. Big data and data analytics are transforming the audit process from being sample-based to data-based, providing information about all key areas of the business. It helps leaders understand their business better by providing detailed information. Big data helps track expenditure accurately in real-time and is, thus, highly helpful with periodic auditing. Combining the power of big data, analytics, and other tools such as RPA can not only automate the auditing process but also help reduce errors usually encountered in the manual process. Thus, they provide greater accuracy and compliance than conventional methods.

Risk management

The insights provided by big data help to identify financial risks and rectify them easily. Having a huge set of data beforehand empowers accountants to carry out predictive analytics, and thus they can predict future risks more accurately. They can warn clients and advise them to take the necessary steps required to avert any major financial issue. Big data analytics can also help to identify potential frauds. It, however, may need the support of AI, blockchain, and computer vision technology to continuously monitor an enterprise’s assets and expenditure details to determine any irregularities.

Business decisions

Since big data helps businesses take complete control of their financial operations, business leaders can make better growth-oriented decisions. With the real-time availability of data, leaders can make better short-term, and, as well as, long-term financial plans. Thus, big data works as a trusted advisor for accountants, helping them provide better services to their clients.

Big data brings enormous benefits to the accounting sector. Still, it needs a coherent partnership of other technologies such as artificial intelligence, RPA, and computer vision to be leveraged to its maximum potential. Therefore, accounting firms investing in big data in accounting practices should also look to incorporate the other technologies mentioned to maximize the benefits of big data.

How Can the Use of Big Data and Related Technologies Improve Accounting Practices?

One of the most straightforward, impactful technologies in accounting and finance sector applications is robotic process automation (RPA). With RPA, advanced AI software can automate many repetitive tasks, like data entry, as well as more complex tasks involved in auditing and other accounting practices.

This streamlines and exponentially increases the efficiency of mundane accounting processes. RPA also helps reduce errors common to manual data entry, improving process speed and accuracy as well as the resulting quality and timeliness of insight gained from analysis. Plus, with the ability to detect outliers in vast datasets, RPA and big data analytics help accountants move past the limits of narrow audit sampling.

The speed and scope of AI-driven RPA and big data analysis enable accounting insight delivery in near real-time, on demand. This availability means decision-makers get the information they need when they need it. Plus, accountants are freed up to do more impactful work. The accountant’s role becomes more of a strategic advisor than a number cruncher, helping translate big data analyses into strategy formulation insight for clients and businesses.

An Institute of Management Accountants (IMA) survey found that 70% of respondents who have implemented big data into practices use it to inform strategy formulation. Improving business decision-making and strategy is the real benefit of data analysis. Deploying big data capabilities to analyze large amounts of complex finance and accounting data can maximize the perspective and insight gained for strategy formulation.