Emerging Technologies in Cost Accounting
In a recent global analysis conducted by Deloitte and the Institute of Management Accountants (IMA), emerging technologies such as artificial intelligence (AI), machine learning, and advanced analytics are gradually becoming significant players in the arena of finance and accounting. The survey, entitled
"Unlocking Profitability Insights: How Companies Are Leveraging Data to Enhance Business Performance," provides insights into how these technologies are altering the landscape of business performance accountability, even though conventional methods still hold sway.
Current State of Cost Accounting
Despite the advent of sophisticated technologies, traditional performance modeling techniques are still prevalent. According to the findings, a substantial 30% of finance professionals report that spreadsheets remain the go-to tool for performance modeling, significantly overshadowing emerging tools like AI analytics (only 3%) and blockchain solutions (merely 1%). This reliance on traditional methods raises questions about the readiness of the industry to embrace advancements that could automate routine tasks and refine profitability analysis.
However, many professionals express optimism regarding the future impact of these technologies on traditional practices. For instance, respondents indicated that significant benefits could emerge from automating repetitive processes (19%), facilitating real-time data analysis and reporting (18%), and transitioning from traditional historical analysis to more predictive analytics frameworks (18%).
Colleen Whitmore, a partner at Deloitte Touche LLP, emphasizes the urgency for change in methodologies used in cost and profitability management. She highlights that traditional performance management approaches lack the precision and responsiveness that newer tools offer in generating insights critical for navigating today’s rapid and dynamic business environment. This sentiment reflects a growing desire among controllers and CFOs to reevaluate and transform their cost management approaches for better operational performance and strategic decision-making.
Adoption of Emerging Technologies
From the pool of over 440 finance and accounting professionals surveyed, it was revealed that more than half (53%) have either already integrated (24%) or are planning to integrate (29%) emerging technological solutions such as AI, blockchain, or advanced data analytics into their existing frameworks for managing cost and profitability.
Though the interest in integrating advanced technologies exists, the survey also unveiled significant hurdles that organizations face regarding their data practices. When questioned about the utilization of cost-to-serve analytics—which assess the costs associated with delivering products or services—only 38% claimed their organizations effectively employ these analyses to align business strategies with profit goals.
Interestingly, over half (54%) of the participants noted difficulties in achieving transparent cost and profitability reporting, with complex systems (15%) and data availability concerns (14%) being cited as major hurdles. As Rebecca Baker, Ph.D., pointed out, the value of analytics tools is heavily dependent on the robustness of data management strategies in place, underscoring the critical need for effective data governance.
Transformational Potential of Advanced Analytics
The potential of employing advanced technologies is not just limited to overcoming operational inefficiencies; there are other notable benefits as well. For example, many organizations reported reduced data collection times (12%), increased reporting efficiency (11%), and enhanced accuracy in cost estimations (10%) through the use of AI and machine learning technologies.
In conclusion, while traditional methods in cost accounting and profitability reporting continue to prevail, the insights from Deloitte and IMA's survey affirm a strong correlation between the integration of emerging technologies and the enhancement of decision-making and operational performance in finance. As organizations navigate their paths through these changes, the importance of investing in data management strategies cannot be overstated. To explore more insights, you can read the complete report
here.