The world of accounting remains somewhat of a mystery to many of us. We know that people in the profession crunch numbers and ultimately impact many major financial decisions in both our lives and in the businesses they serve. But beyond that, many of us don’t have a great grasp on the incredible amount of data that goes into accounting and finance careers.
Indeed, the amount of data required for the job has expanded significantly with the explosion of new technologies. Now, understanding database management and data analytics is almost an essential component of being a successful accountant. In fact, much of the finance industry has been taken by storm when it comes to the revolution that technology is bringing.
These rapid changes have encouraged many within the career path to learn an array of new skills. For those thinking about entering a finance-based educational program, technology and analytic software will suddenly be a much larger part of the curriculum. With that in mind, exploring how data is used in accounting and finance can be beneficial to all.
Big Data in Accounting
The ways that big data and analytics have altered the financial world are astounding. Today, traces of the technology can be seen in nearly every aspect of the industry. The term fintech has been coined to describe many of these adaptations. Fintech, by definition, is the computer programs and technologies that have led to significant technological changes and are enabling many banking and financial services today.
Big data can more accurately help financial advisors and CFOs alike understand and respond to rapidly changing trends in finance. Likewise, it can be used to gain a greater knowledge of the spending habits and behaviors of clients. In combination with other collected financial trend data such as commercial customer data, public and government sector demographic data, social media, and so on, financial institutions can make more educated financial decisions that will drive economic growth.
Many see blockchain as one of the biggest factors in the growth of fintech. The technology can be used to make faster, more secure transactions that ultimately speed up the processing time and security of financial management. These digital transactions are set to completely change the financial industry as we know it. In some ways, it already has.
A Changing Career Path
For many people who are interested in pursuing careers in finance and accounting, these rapid changes mean learning a different set of skills. Likewise, many professionals already in the field are finding that they need to continue to learn new skills to keep up with the changes that are happening in their workplaces. Professionals that already have these skills are in high demand and can make significant incomes with the right experience.
For instance, today many internal and external auditors and other financial professionals find themselves using data analytics to complete tasks that enhance their job performance such as:
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Regular monitoring of transactions
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Continuous auditing technologies
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Expansion to complete audits rather than samples of client transactions
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Assessing the best financial decisions based on currently available data trends
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Determining how customer behavior influences larger financial trends
Ultimately, the technology is poised to increase both efficiency and accuracy in accounting careers. It will allow professionals to take on larger, more complete projects where they can look at larger subsets of data to make decisions. With the help of big data, processing times will drop, more errors will be caught, and previously undetected connections may be made.
Improving Client Experience
All of these changes that come with the incorporation of big data will also substantially improve the client experience as well. For instance, the time that it takes to complete an audit will decrease and the ease of communicating important information to clients will increase. Both of these changes can create a greater understanding of the financial process and lead to increased client satisfaction with the work completed.
Data analytics in accounting can also help better personalize the experience to the customer. This means segmenting specific client-based scenarios and using data to better understand the customer’s position within them. It can be used to help identify specific risks a client may be exposed to and mitigations that can help manage them. Likewise, it can lead to greater personal gains for a company.
This is true in personal financial management too. Financial advisors can assess spending habits, trends, and risks for individuals and help create a tailored financial plan that will work best for the client. For example, a client in Generation Z will likely have a very different outlook and set of needs when it comes to finances than a Baby Boomer. Even within age groups, clients will have different needs that can be better catered to using data analytics for financial management.
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Data analysis, analytics, and big data are all tied to the concept of fintech and all are working to completely change the financial world. Today, skills in these areas are almost essential for finance professionals to do their jobs. These advances have plenty of benefits for customers from greater efficiency to greater accuracy to greater personalization.Â
