Achieving a highly efficient financial close, consolidation, and reporting process requires a strong controllership function. This guide identifies six key elements and best practices, along with practical tips and technological solutions for improvement.
High-performing finance teams share common approaches to transforming their financial close processes. But what constitutes exceptional performance in closing, consolidation, and reporting? This guide outlines six foundational elements and leading practices, enhanced by emerging technologies, to optimise and achieve peak financial close performance.
A standardised, unified data structure is fundamental to efficient financial management. Eliminating disparate data sources and manual reconciliation significantly improves access to real-time financial insights, enabling faster, more informed decision-making. This approach also enhances financial transparency and agility by ensuring data consistency and accuracy.
A streamlined technology ecosystem is crucial for operational efficiency and adaptability. Leading organisations invest in scalable platforms that integrate cutting-edge technologies while maintaining cost-effectiveness. Simplifying the technology architecture not only boosts efficiency but also better positions finance teams to support strategic growth.
The financial close process is undergoing a significant transformation, moving from a manual, time-intensive task to an automated, continuous cycle. Leading organisations are adopting near-touchless close processes, significantly improving accuracy, compliance, and efficiency. This not only enhances reliability but also frees up finance teams to focus on higher-value activities such as analysis and strategic decision-making.
As finance functions become increasingly reliant on data, robust governance is paramount to ensuring accuracy, compliance, and operational efficiency. Organisations with well-defined financial processes (including clear ownership, timelines, and deliverables) are better equipped to maintain high standards of control, strengthen financial integrity, mitigate risk, and foster accountability.
Advanced analytics and artificial intelligence (AI) are transforming financial insight generation. By implementing clearly defined metrics, real-time analytical tools, and AI-driven predictive modelling, organisations can gain on-demand business insights. This provides deeper visibility into financial performance and future trends to enhance decision-making. AI-powered tools can also help anticipate potential challenges, such as supply chain vulnerabilities or optimising financial planning scenarios, allowing for proactive action. This access to on-demand insights transforms finance teams from mere record-keepers into strategic partners driving business success.
In today's rapidly changing business landscape, finance functions must build agile platforms capable of adapting to evolving needs, emerging business models, and new opportunities. A technology-driven approach to financial operations facilitates seamless integration with new business models, M&A activities, and evolving regulatory requirements. Organisations that design platforms for interoperability and flexible integration with new systems are best positioned for sustained growth and navigating the complexities of the future of finance.
To gain a broader understanding of current financial close practices, we conducted various polls among our audience during the webinar. The results offer valuable insights into common challenges and opportunities for improvement. Let's delve into the analysis of the findings:
Poll 1: What is the duration of your quarter-end close — the number of days from Workday 1 of the month to final consolidated P&L (GL close + consolidation)?
Poll 2: In the next 12 months, what is likely to be the greatest challenge to your organisation’s efforts to automate its financial close processes?
Poll 3: Which stage of your organisation’s financial close process do you believe could benefit the most from automation?
Poll 4: Which of the six leading practice themes for financial close optimisation are your highest priority for improvement?
Poll 5: Which record-to-report process area are you prioritising for AI deployment?