Balancing the Great Resignation, Inflation and Recessionary Headwinds

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Rose Report: Issue 55

By Ted Rose, CEO, Rose Financial Solutions

Are you having issues hiring and retaining employees? Is inflation adversely affecting your costs from critical suppliers and the salary expectations from staff? Are you worried that rising interest rates, spiking energy costs, supply chain issues, and the 2022 stock market correction will push the economy into a full and extended recession?

If so, you are not alone. According to the U.S. Bureau of Labor Statistics, approximately 47 million people resigned in 2021. Additionally, a Willis Towers Watson  survey  from 2022 found that most U.S. employees (53 percent) are willing to leave their current employment. This is in the face of record gas prices, the first significant interest rate hikes by the Fed in decades, an extended war in Europe, and the largest stock market plunge since the beginning of the pandemic.

These challenges are impacting industries across the board, leaving companies with one viable path forward, finding ways to do more with less. For the most part, this involves transforming your business with technology in ways that may not have been possible or may not have made sense before the pandemic. During the last two years, we’ve seen the dramatic expansion of technology focused on transacting business remotely, including video conferencing, IP phone systems, payment processing, accounting technologies, cloud-based software, etc.

The key to a successful transformation is the ability to connect all of these remote technologies in a comprehensive system that improves visibility, communication, and access. This solution is traditionally limited to a full ERP implementation for larger enterprises. Novel technologies are making all of this possible for smaller companies allowing most companies to maintain remote support staff in cases where a physical operation is required, or to create an entirely remote team for most knowledge workers.

The Willis Towers Watson survey additionally reports that more than half of the respondents (56%) stated salaries are the main factor in looking for a new job. Health benefits (39%), job security (33%), and flexible work arrangements (31%) are other factors survey respondents cited as reasons for accepting a position at another company. As these findings suggest, companies are under pressure to increase salaries, enhance benefits packages, and offer additional perks to retain and recruit employees—expenses that many small to mid-size companies can’t afford in the current environment. Transforming your back office will allow companies to do more with less and provide employees with what they are looking for, higher-value work with increasing compensation, and good benefits, including hybrid or remote work options.

While every industry struggles to hire during this period of transition, hiring and retaining finance and accounting professionals, who traditionally have a higher turnover rates, is often of particular concern. According to the Bureau of Labor Statistics, the total number of accountants and auditors in the U.S. decreased by 17% from 2019 to 2021. The mass resignation has only added to the issue of declining accountant professionals that existed before the pandemic.

Outsourcing has become an increasingly popular solution for organizations struggling to fill roles and afford the rising cost of hiring employees. In fact, according to Deloitte, 70% of businesses turned to outsourcing to reduce business costs in 2020. While cost savings are valuable during these uncertain times, outsourcing offers additional benefits, including a larger team of skilled experts, reduced onboarding requirements, and improved delivery time. Outsourcing the back office is not just about finding people; it’s about connecting the entire system of people, process, and technology. This is the next generation of finance and accounting outsourcing, and it is called Finance as a Service.

How we can help

As the finance and accounting outsourcing pioneer, RFS understands companies’ unique challenges when staffing their back-office functions. Going beyond traditional accounting outsourcing, our Finance as a Service (FaaS) solution combines our cutting-edge technology platform,  Easby™, our best practices,  and our team of experienced finance, accounting, and tax professionals. Whether you need a fully staffed solution or need support in specific areas of your accounting and finance department, we configure your solution to fit your needs. Our fully staffed solutions include our full technology platform, our best practices, and our people. Or you can make your accounting and finance staff more effective using our cutting-edge technology platform, Easby™, with your existing accounting software.

Our cost-effective and scalable solutions deliver the meaningful, timely, and accurate financial information and guidance you need to make better business decisions, minimize compliance-related risks, and improve financial performance. Schedule a meeting below to find out how RFS can help you overcome the challenges of balancing the Great Resignation, inflation, and the recessionary headwinds.

This content is for information purposes only and should not be considered legal, accounting or tax advice, or a substitute for obtaining such advice specific to your business.

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By Matthew Scroggs January 10, 2024
Issue 72 - Data Driven and AI Enablement Strategies for 2024
By Matthew Scroggs January 10, 2024
Recent findings from Pigment’s Office of the CFO 2024 survey highlight a critical issue for business leaders – the prevalent use of inaccurate data in their decision-making processes. The survey reveals that a staggering 89% of finance leaders are basing their decisions on incomplete or faulty data. The foundation of successful business strategies depends on the quality and accuracy of the decisions made. As businesses navigate expansion and heightened competition, the reliance on data-driven insights has become critical. Harnessing the transformative power of accurate, reliable data enables informed and effective decision-making. Businesses with financial clarity will outpace companies that struggle with flawed data. Financial visibility will help businesses avoid common pitfalls while shaping a future oriented strategic vision. Why Is Most Financial Data Flawed? Financial Data often ends up flawed due to several factors. Disparate systems and fragmented processes within an organization can cause increased inaccuracies over time. The lack of standardization of data within an organization introduces complexities and leads to inconsistencies in data handling. Nomenclature and connectivity issues further compound the problem, making it challenging to establish a framework for data organization. When these issues persist, they pave the way for flawed data, hindering accurate analysis and decision-making. Improving Financial Data with a “Single Source of Truth” Addressing the complexity of inaccurate financial data requires a strategic approach. Streamlining systems and processes and implementing standardized, data-oriented procedures across departments can mitigate inaccuracies stemming from disparate systems and fragmented processes. Moreover, establishing a unified nomenclature and resolving connectivity issues are pivotal to ensuring data integrity. By instituting a cohesive framework for data organization and management, businesses can tackle the root causes of flawed financial data. Establishing a single source of truth consolidates data into a single data structure. This allows for the streamlining of processes, reduction of complexity, standardization of nomenclature and improved connectivity. In essence, a single source of truth reduces errors by ensuring everyone in an organization refers to the same accurate information. This unified data hub speeds up decision making and lays the groundwork for integrating AI into future financial operations. Enter Easby, a system of engagement that standardizes financial activities and data while improving data integrity. As a CFO Co-Pilot, Easby streamlines data handling and reporting, allowing leaders to make better decision based on better information. Easby reduces administrative activity and promotes data-accuracy, improving decision-making and driving companies toward success in our competitive business environment. Easby connects with your accounting system of record to become a “single source of truth”, centralizing data and refining processes. By streamlining data collection and reporting, Easby empowers leaders to refocus their efforts on strategic growth initiatives. To discover how Easby can become your CFO Co-Pilot while fortifying the future of your organization, we invite you to schedule an introductory call with Rose Financial Solutions (ROSE). Schedule an Introductory Call
By Matthew Scroggs January 10, 2024
Technology, Data and Automation are transforming decision-making, especially with the democratization of Artificial Intelligence (AI). This transformation is especially pronounced within finance, where AI's emergence is influencing financial system strategies, placing a premium on structured data for AI-driven initiatives. However, the ability to utilize AI effectively heavily relies on data organization and security. Organizing data includes data consolidation, categorization, and tokenization. This organization can help establish the groundwork for your company to benefit from the full potential of a wide-range of AI-driven use-cases. Consolidating Diverse Data for Unified Insights Data consolidation includes merging and unifying diverse data sets from multiple sources into a single source of truth. Let’s consider a corporation that operates across various states. Each division might maintain financial and operational records, such as sales figures, payroll, operational expenses, and inventory in disparate systems. Data consolidation in this scenario involves merging these diverse datasets from different divisions into a singular, centralized system. For instance, combining sales data from different regions, integrating it with payroll and inventory records, and aligning financial reports across divisions creates a comprehensive overview of the company's overall performance. This consolidated data allows for better analysis of revenue streams, cost optimization strategies, and more accurate forecasting across the entire organization, aiding in strategic decision-making for the whole company. Enhancing AI Precision through Categorization Categorization involves sorting data into specific items or categories based on various parameters or attributes. It's about organizing and labeling data in a structured manner. For example, in accounting, data categorization refers to sorting expenses into a variety of dimensions, such as general ledger codes, department codes, project codes, etc. These codes are normally broken down into logical categories that help users and AI understand that certain vendors are related to travel and others are related to office supplies, or utilities. In AI-driven strategies, categorization is paramount for contextualizing and organizing information effectively. By classifying data into relevant categories or items, AI systems can understand the nuances of different data sets. This categorization allows for more precise analysis, facilitating the extraction of actionable insights and comparisons that are crucial for decision-making. Tokenization for Advanced Data Efficiency and Security Tokenization is the segmentation of complex data into smaller, more manageable units known as tokens, each representing individual pieces of data or information. This process primarily focuses on maintaining confidentiality when inputting data into AI systems. Its core objective is safeguarding sensitive data by substituting identifying information with distinct tokens or representations. By implementing tokenization, organizations create a protective barrier around sensitive information, like personal or financial data, thwarting AI from associating the data from a specific entity. Tokenization ensures that AI algorithms work with transformed data. For instance, tokenization involves converting sensitive data, like vendor names, into random tokens in financial transactions. This not only enhances security by safeguarding sensitive information but also streamlines data analysis by reducing the complexity of the dataset. In AI strategies, tokenization is a critical step. By segmenting data into tokens, AI algorithms can more effectively identify patterns, trends, and correlations within the information, ultimately enabling more accurate predictions and insights, all without providing the AI with sensitive information. Leveraging Integration Opportunities with AI Consider a company working to streamline its accounting processes. The organization creates a unified database through data consolidation and tokenization. The integration of AI technology allows for the use of machine learning to automate transaction coding, a move that significantly reduces manual workload while improving processing accuracy. Other examples of AI integration include automating graphic analysis and categorization creation. For instance, AI-driven tools can autonomously generate visual representations of complex datasets. Moreover, within categorization, AI systems excel at continuously refining and automating the sorting of diverse data sets into specific categories or segments, ensuring accuracy and efficiency in data handling. Finally, AI-driven tools leverage historical patterns to track and analyze financial behaviors. For instance, by examining past expenditures, these systems identify trends, anomalies, and potential cost-saving opportunities. This level of insight allows businesses to make more informed decisions regarding budget allocation, identifying areas for optimization and possible financial risks. Scaling Efficiently Through AI-Driven Strategies By merging AI-driven strategies with data management, businesses gain adaptability. This agility powers informed decisions, intelligent resource allocation, and proactive risk management. This approach isn't just about navigating competition; it's about efficient scaling and strategic growth, representing a shift towards growth while benefiting from financial clarity. This strategic combination empowers businesses to thrive, evolve, and seize opportunities in a constantly changing business environment. Schedule an introductory call with us today to explore how optimizing your data strategy can enhance your adaptability, drive informed decisions, and propel your business towards scalable growth. Schedule an Introductory Call
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