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.
One of the challenges of being a practically minded technology analyst is squaring the importance of “the next big thing” with the reality of what most organizations are doing. For decades it’s been the case that “the next big thing” in the world of information technology is easily several years ahead of where most organizations are in their use of technology. And before most organizations can realize the benefit of some whiz-bang technology, they frequently need to address a range of more mundane issues, such as data availability and accuracy, employee training and corporate culture, among other impediments. Sometimes, though, advanced technology works to uncomplicate things for organizations.
Topics: Human Capital Management, Marketing, Office of Finance, Analytics, Business Intelligence, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Work and Resource Management, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, robotic finance, Predictive Planning, AI and Machine Learning, revenue and lease accounting, subscription management, intelligent sales
Business planning is an essential part of an organization’s focus on its future performance and overall potential because it ensures continuous operations, even in black-swan events. Planning across the entire organization needs to be a critical priority and leadership should give it the attention it deserves. In challenging times, a focus on execution tends to take hold — this is not unreasonable but in focusing on satisfying immediate customer and workforce needs and putting out fires, business leaders too often forget that forward-looking continuous planning is essential to achieving desired outcomes. Fulfilling this objective requires technology designed to meet these needs for every business process in the organization.
Topics: Sales, Human Capital Management, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, Total Compensation Management, Predictive Planning, Conversational Computing
Workiva recently introduced Chains, a visual workflow tool for the Workiva platform. Individuals use Chains to create and manage linear sequences of tasks that they otherwise would have to execute manually, for example, automatically updating a report with the most current dataset. Chains is like old-style Excel macros in its simplicity; users configure sequences with a drag-and-drop visual interface. There’s nothing to code and it’s easy to follow the sequence and the logic that drives the process. Organizations can take a modular approach to building chains, enabling users to string together a sequence of them. Such an approach makes it possible to standardize process execution and maintaining shorter chains is usually simpler than longer ones.