KPMG Spark Blog
This primer talks about the benefits of software-enabled accounting platforms, and how machine learning helps reduce manual, repetitive tasks so you can take care of what machines are not good at: relating to your customers.
Let’s face it, if you are a small business owner, you probably didn’t get into it so you could do the bookkeeping. In fact, it’s probably the part of running a business that you enjoy the least.
But, more than just being a diversion from the day-to-day operation of the business, most current approaches to bookkeeping and accounting for small and medium sized businesses may also potentially reduce the accuracy of decision making.
“As a start-up business you may struggle to get real-time insight into your actual numbers, waiting until the end of the month before bookkeepers even look at your accounts. Investing in new accounting technologies can help small business owners reduce the stress of bookkeeping and improve visibility into their business.”
-Zach Olson, Managing Director, KPMG Spark
The rapid evolution and maturity of new technologies like machine learning, data analytics and visualization tools can assist decision-makers with achieving unprecedented insights and visibility into their data. And that can be harnessed to give small business owners a real advantage.
Indeed, there are a growing number of back office and accounting platforms that are applying cognitive technologies to help deliver greater value to business owners. What is cognitive automation? Cognitive software mimics human activities such as perceiving, inferring, gathering evidence, hypothesizing, and reasoning. And, like humans, cognitive software is taught rather than traditionally programmed.
In other words, while we program explicit steps into a traditional computer to solve a problem, in a cognitive solution, we teach the tool the area of interest, or ‘domain’. Once the base domain knowledge is established within the software, the cognitive solution typically continues to learn and solve problems within that domain, generally all on its own.[KA1]
Some of the very best new accounting platforms, for example, use cognitive automation technologies to create a better understanding of their users’ bookkeeping and expense reporting methods. This information is then digested by the system and translated into functionality improvements that are tailored to the specific user.
“Far too often, I talk to founders who find themselves bogged down in bookkeeping which means they are not fully focused on doing what they do best – improving and growing the business. With all of the new technologies that are now available, founders and small business owners should be considering all of the available options for reducing the back office burden.”
- Brian Hughes, National Private Markets Group Leader and Co-Leader Venture Capital, KPMG LLP
How can new software-enabled approaches to accounting and bookkeeping potentially help founders and small business owners make better decisions and reduce the burden of the back office? Today’s software-enabled accounting platforms may be able to help you:
How can cognitive deliver value in small business accounting? To start, the system we work with at KPMG uses APIs and direct connections to over 20,000 financial institutions to continuously update the accounting ledger. Leveraging machine learning, it automatically categorizes line items based on algorithms trained specifically for their business and sector. All of that data is then served up to users through a cloud platform, allowing users to tap into their accounting data from virtually anywhere.
Of course, machines on their own are not (yet) sophisticated enough to replace human capability, judgement and control; they are also not terribly good at customer relationship management. So it is still important to have a dedicated – human – accountant who oversees the books, carefully monitors the algorithms and interacts with clients. But, given that most of their manual, repetitive tasks are now being shouldered by bots, these accounting professionals are free to focus on helping small business owners increase the amount of information derived from their data.
Some or all of the services described herein may not be permissible for KPMG audit clients and their affiliates and related entities.
The following information is not intended to be “written advice concerning one or more Federal tax matters” subject to the requirements of section 10.37(a)(2) of Treasury Department Circular 230.
The information contained herein is of a general nature and based on authorities that are subject to change. Applicability of the information to specific situations should be determined through consultation with your tax adviser.
KPMG’s individual tax services may only be provided to owners and senior executives of private business clients of the firm or in connection with global mobility services or bank trust outsourcing services.
© 2019 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. The KPMG name and logo are registered trademarks or trademarks of KPMG International.
[KA1]Sources should be credited in a format similar to the examples below:
Source: Financial Times, London, Joanna Chung (July 7, 2016).
Source: KPMG International, “Replay: Fast Forward” (November 2015).
Source: ABC News Web site, Politics section, May 23, 2016.
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