Rethinking Cost Savings Models: A Reframing Approach to Government Business
Jonathan Beris
Chief Data Officer @ US Navy | Leading Data and Analytics Strategy
The Cost Savings Model: A Flawed Approach in Modern Business
In today's rapidly evolving business landscape, the traditional model of cost savings—broadly defined as actions aimed at reducing the expenses associated with conducting business—has often been oversimplified. This approach typically includes decisions regarding personnel, process optimization, product selections, and geographic considerations, all aimed at minimizing operational costs ("2024 Annual Report," U.S. GAO). However, the problem arises when organizations equate cost savings solely with reducing headcounts or cutting back on systems, expecting to achieve the same outcomes with fewer resources. This narrow view overlooks the complexity of modern business environments and can lead to unintended consequences.
Why the Traditional Cost Savings Model Falls Short
The issue with focusing solely on cost reduction is that it often results in a short-term fix rather than a sustainable strategy. Cutting personnel, for instance, might reduce immediate expenses but can also lead to a loss of valuable knowledge, lower morale, and decreased productivity. Similarly, reducing the number of systems without a strategic approach to integration and data management can lead to inefficiencies, data silos, and a lack of interoperability. These outcomes can negate any initial savings and even incur additional costs in the long run.
Additionally, the practice of budgetary fratricide exacerbates these issues. This term describes a situation where different units or departments within the same organization compete for limited financial resources. Such competition can lead to internal conflicts, inefficiencies, and a lack of coordination, ultimately harming the organization's overall effectiveness and goals. The metaphor of "fratricide" highlights the unintended negative consequences, akin to friendly fire, where allies inadvertently harm each other (Stewart). This scenario underscores the danger of indiscriminate cost-cutting, especially when vital functions like data management are affected. In an era where data is crucial for decision-making and operational efficiency, underfunding data initiatives can be detrimental, akin to compromising the lifeblood of the organization.
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Introducing TOIL Reduction: A Modern Approach
Last week, a colleague from the Air Force introduced me to the concept of TOIL reduction, which stands for "Tasks Of Insignificant Labor." TOIL refers to repetitive, manual tasks that are not directly related to an organization’s core objectives but are necessary for operations. These tasks consume valuable time and resources, creating inefficiencies and often leading to employee burnout. TOIL can include activities such as routine data entry, system maintenance, or manual report generation. The concept of TOIL reduction is detailed in Google's Site Reliability Engineering (SRE) book, which focuses on minimizing these non-essential tasks to free up resources for more impactful work (Beyer et al. n.p.).
The concept of TOIL reduction focuses on automating these mundane tasks to free up human resources for more strategic, value-added activities. By investing in automation technologies and streamlining processes, organizations can significantly reduce TOIL, leading to improved efficiency, higher employee satisfaction, and better overall performance.
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The Real Question: How Do We Save Time?
In today's competitive environment, the key to success is not just about cutting costs but optimizing the use of time. Automation is a powerful tool in this regard, offering a way to streamline repetitive tasks and free up time for more critical activities. While the term "artificial intelligence" (AI) often conjures images of futuristic technology, it's important to clarify that the focus should not solely be on the technology itself. Rather, the emphasis should be on changing the organizational culture to prioritize efficiency and innovation.
AI, machine learning (ML), and robotic process automation (RPA) are all valuable technologies that can be applied to automate repetitive and mundane tasks. These technologies can handle tasks such as data entry, report generation, routine customer inquiries, and even elements of the recruitment process, such as screening resumes and scheduling interviews. The goal is to use these technologies to handle low-value, repetitive tasks, allowing human employees to focus on more strategic and creative work.
For instance, in human resources, RPA can be used to automate the onboarding process, including the generation of employment contracts, verification of documents, and scheduling of orientation sessions. This not only speeds up the process but also ensures consistency and accuracy. However, the success of implementing such technologies depends heavily on a cultural shift within the organization. It requires an understanding that technology should support employees rather than replace them, and that the primary focus should be on creating a more efficient and innovative workplace.
In conclusion, while cost savings remain an important aspect of business strategy, a narrow focus on cutting expenses can be detrimental. A more holistic approach, which includes reducing TOIL and optimizing time, offers a sustainable path to efficiency and growth. This modern perspective encourages organizations to invest in automation and process improvement, ultimately leading to long-term success.
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References:
"2024 Annual Report: Additional Opportunities to Reduce Fragmentation, Overlap, and Duplication and Achieve Billions of Dollars in Financial Benefits." U.S. GAO, May 15, 2024, www.gao.gov/duplication-cost-savings .
Beyer, Betsy, et al. Site Reliability Engineering: How Google Runs Production Systems. O'Reilly Media, 2016, sre.google/sre-book/eliminating-toil/ .
Stewart, Herbert G. "Fratricide and the Operational Commander: An Appraisal of Losses to Friendly Fire." Naval War College, 1996, apps.dtic.mil .
Manager, Customer Success | Intelligent Automation, Cloud Computing, AI
3 个月Jonathan, thanks for sharing! How are you?