IBM Planning Analytics, formerly known as TM1, is a comprehensive planning and analytics application designed to integrate and streamline an organization’s planning processes. It can support multiple planning use cases on a single platform, including financial, headcount, sales and demand planning. The software automates enterprise-wide data collection to make it repeatable and scalable across multiple users and departments. It supports sophisticated driver-based modeling that enables rapid what-if or scenario-based planning, while its built-in analytics provide deep business intelligence capabilities. This enables senior executives and managers to work interactively to immediately assess their current position and consider the impact of various options to address opportunities and issues rather than laboring through a lengthy process.
Robotic Process Automation (RPA) has emerged as a core digital technology for finance and accounting organizations. It can drive significant gains in productivity and efficiency by automating mechanical, repetitive accounting processes in a continuous, end-to-end fashion. RPA improves efficiency, ensures data integrity and enhances visibility into processes.
Ventana Research recently announced its 2021 market agenda for the Office of Finance, continuing the guidance we’ve offered since 2003 on the practical use of technology for the finance and accounting department. Our insights and best practices aim to enable organizations to operate with agility and resiliency, improving performance and delivering greater value as a strategic partner.
Topics: Office of Finance, enterprise profitability management, Business Intelligence, Collaboration, Business Planning, Financial Performance Management, ERP and Continuous Accounting, Revenue, blockchain, robotic finance, Predictive Planning, AI and Machine Learning, lease and tax accounting, virtual audit, virtual close
In the context of planning, budgeting and benchmarking, external data includes information about the world outside an organization such as economic and market statistics, competitors and customers. Today, a comprehensive set of external data is a “nice to have” item in most organizations, but that’s likely to change. External data is necessary for useful and accurate business-focused planning and budgeting, and for performance benchmarking. It is also essential for the effective applications of artificial intelligence (AI) to these functions.
One of the oddities of corporate management is that, as a rule, nobody oversees managing profitability. CEOs are accountable for meeting company-wide financial targets and assign responsibility for achieving profitability levels to business unit owners across and down an organization. Sales quotas designed to achieve revenue goals are put in place, and budget owners have cost and margin objectives. But setting profitability objectives is not the same as managing profitability.
In preparing this research note I took the precaution of searching “value-based planning” to see what came up. Over the years, the term has been used in several contexts each with different shadings. By my definition it’s an approach to planning and budgeting that maximizes the long-term value of an organization by considering all its objectives – not just the financial targets. Value-based planning is a more effective management tool for executives because it defines objectives in terms of resources used and outcomes achieved, not just the financial outcome. Value-based planning is only possible when it is fully supported by the senior leadership team and only feasible using software that can integrate operational planning and financial budgeting.
Enterprise resource planning (ERP) systems are central to nearly every organization’s management of operational and financial business processes. They are essential to the smooth functioning of an organization’s record keeping, accounting and finance tasks. In manufacturing and distribution, ERP manages inventory and logistics. Some ERP software vendors incorporate an extended set of capabilities that include managing human resources as well as supply chains and logistics. In the 2020s, technology will drive fundamental change in how ERP systems operate and how companies use the software.
A couple of years ago, I started talking about a “New Era of Trade.” Its starting point was the world financial crisis in 2007, but the evidence that we were experiencing a shift only became obvious years later. I think “new era” is a better description of what’s going on than calling these bilateral ructions a “trade war.” I avoid that latter term because I believe it should apply to an environment that truly merits such a description, one similar to the period from the late 1920s and well into the 1930s when escalating tariffs, export taxes and competitive currency devaluations caused world trade volume to plummet by two-thirds. Until 2020, world trade growth had only been slowing, not declining.
An important recent development in software designed for the Office of Finance is the addition of what we’re calling a data aggregation device (DAD) for analytical applications. A DAD automates the collection of data from disparate sources using, for example, application programming interfaces (APIs) and robotic process automation (RPA). With a DAD, users of the analytical application have immediate access to a much broader data set; one that incorporates operational as well as financial data from internal and external sources. The larger data set enables a much more expansive set of analyses than has been feasible in the past because the process of acquiring the data is automated, and the data aggregation is handled in a controlled manner. This control means that data in the system is authoritative, accurate, consistent, complete and secure. The difference between a DAD and a finance data mart is that the former is prebuilt for the specific application, and therefore eliminates this source of implementation costs and offers faster time to value.
A great deal has changed in how finance and accounting departments operate since the start of 2020. To cope with unprecedented conditions, many departments have found that significant changes to their processes and operating methods are not only possible, they’re necessary. With workers unable to be in office, organizations have learned how to work virtually using videoconferencing, and adopted a variety of new software that make it possible to work under any conditions. Software that automates the close, for instance, smooths the execution of processes by managing hand-offs, reviews and approvals even when face-to-face interaction isn’t feasible.