Robotic process automation (RPA) relies on programming or the application of analytical algorithms to execute the most appropriate action in an automated workflow. RPA enables business users to configure a “robot” (actually, computer software) to interact with applications or data sources to process a transaction, move or manipulate data, communicate with other digital systems and manage machine-to-machine and man-to-machine interactions. This technology is gaining increasing notice by finance departments, with good reason: RPA represents an important step beyond simple process automation in that it uses software to execute routine but complex workflows that require judgment. Rather than making an individual check-off a step in a routine approval, a robotic system applies an algorithm that decides the next step. The system thus does what people spend an awful lot of their time doing every day: making judgments that most of the time could be done by a machine.
Earlier this year Zuora acquired revenue recognition software vendor Leeyo. Zuora, which initially focused on taming the complexities of subscription billing, has been broadening its software offerings to handle a wider set of the operational and financial requirements of a subscription business. Leeyo held a Revenue Recognition Summit in 2016 and the event was recently repeated. The need for the Summit reflects the impact new standards for accounting for contracts will have on subscription businesses. Compliance with these standards is proving to be a major challenge for companies that have subscription or recurring-revenue business models.
Kofax offers Kapow, robotic process automation (RPA) software used to acquire information from a range of sources without human intervention and without having to write code. These sources include websites, applications, unstructured documents, data stores and desktop spreadsheets. RPA software does repetitive, low-value work that otherwise may be performed by person. It saves time in these tasks, completing them sooner and freeing skilled individuals to concentrate on work that utilizes their skills to the fullest. One of the earliest uses of software robots was “Web crawling,” which automated rapid collection of data posted on websites, for example, prices and locations. This was the Kofax Kapow’s original purpose, but its scope has expanded. When used to gather information from multiple applications, the software precludes the need for setting up and maintaining a separate data store. This saves time and money while ensuring that the information has come from the authoritative source and that there is no latency in the data. Rather than taking the time to write a program with broad applicability, a robot can be quickly configured to perform a specific task in a way that mimics how an individual does the job.
When applying information technology to drive better business performance, companies and the systems integrators that assist them often underestimate the importance of organizing data management around processes. For example, companies that do not execute their quote-to-cash cycle as an end-to-end process often experience a related set of issues in their sales, marketing, operations, accounting and finance functions that stem from entering the same data into multiple systems. The inability to automate passing of data from one functional group to the next forces people to spend time re-entering data and leads to fragmented and disconnected data stores. The absence of a single authoritative data source also creates conflicts about whose numbers are “right.” Even when the actual figures recorded are identical, discrepancies can crop up because of issues in synchronization and data definition. Lacking an authoritative source, organizations may need to check for and resolve errors and inconsistencies between systems to ensure, for example, that what customers purchased was what they received and were billed for. The negative impact of this lack of automation is multiplied when transactions are complex or involve contracts for recurring services.
Topics: Analytics, Big Data, Business Performance Management (BPM), close, closing, computing, CRM, Data, Data Management, end-to-end, ERP, finance, FPM, Information Applications (IA), Information Management (IM), Management, Mobile, Operational Performance Management (OPM), Operations, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Office of Finance, Cloud Computing
Anaplan, a provider of cloud-based business planning software for sales, operations, and finance and administration departments, recently implemented its new Winter ’14 Release for customers. This release builds on my colleagues analysis on their innovation in business modeling and planning in 2013. Anaplan’s primary objective is to give companies a workable alternative to spreadsheets for business planning. It is a field in which opportunity exists. Our benchmark research on this topic finds that a majority of companies continue to use spreadsheets for their planning activities. Almost all (83%) operations departments use spreadsheets for their plans, as do 60 percent of sales and marketing units. Yet the same research shows that satisfaction with spreadsheets as a planning tool is considerably lower than satisfaction with dedicated planning applications. But despite general agreement in companies that the planning process is broken and spreadsheets are a problem, companies seem reluctant to break the bad habit of using spreadsheets. This conclusion suggests that either switching to dedicated software hasn’t been easy enough or that the results of doing it have not been compelling enough to motivate change. Anaplan intends to address both of these issues.
Topics: Big Data, Budgeting, Business Analytics, Business Performance Management (BPM), CFO, Cloud Computing, Controller, Financial Performance Management, Financial Performance Management (FPM), financial reporting, FPM, In-memory, Integrated Business Planning, Marketing, Operational Performance Management (OPM), Operations, Performance Management, Planning, Predictive Analytics, Reporting, Sales Performance Management (SPM), Sales Planning, Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM), Office of Finance