OneStream XF from OneStream Software is a financial performance management (FPM) platform available on-premises or in the cloud. The company is a relative newcomer (it started in 2010) but its founders are industry veterans and it has a long list of referenceable customers. Being self-financed, it only recently began to raise its market profile. Its SmartCPM system consists of software for statutory financial consolidation, planning, forecasting, budgeting and reporting that’s used primarily by midsize and larger corporations, including large multinationals with complex ownership structures. Designed as a platform, OneStream XF fits into the company’s strategy to offer an array of financial applications developed by itself or third-parties that use a single authoritative source of data.
After more than a decade of steady development, ERP systems today are changing fundamentally, facilitated by the availability of advances such as cloud computing, advanced database architecture, collaboration, improved user-interface design, mobility, analytics and planning. This was evident when Oracle recently held its third analysts-only ERP Cloud Summit in New York to coincide with its Modern Finance Experience event. Oracle now has an increasingly robust set of business applications that reside in the cloud and a growing list of live customers – large and midsize – from a range of industries across the world, both of which were offered as part of the here-and-now technology theme at the event.
Accountants love electronic spreadsheets – and for good reason. They’re a powerful and versatile personal productivity tool and just about everyone knows how to use them. Spreadsheets are the default software tool for accountants because they enable autonomy (you don’t need to ask IT for anything) and they’re free (so you don’t have to make a business case to authorize buying something). Some accountants humorously (but earnestly) invoke the line “you’ll have to pry this spreadsheet from my cold, dead hands” whenever somebody suggests eliminating them.
Topics: Office of Finance, ERP and Continuous Accounting, Financial Performance Management, Lease Accounting, revenue recognition, Enterprise Resource Planning, ERP, Continuous Accounting, ASC842, IFRS16, Controller, FASB, IASB, CFO, real estate, Lease Management, leasing, Accounting, Spreadsheets
Pricing is an issue that almost every for-profit company confronts – and usually agonizes over. Organizations’ approach to pricing can range from centralized to decentralized and from highly disciplined to lax. Whether pricing is best handled in a centralized or decentralized fashion depends a great deal on the markets the company is serving as well as its organizational structure and culture. However specific pricing policies are established, though, a disciplined approach to price setting and negotiation is always superior to an ad-hoc process. Discipline is key to preventing margin “leakage” caused by unnecessary price concessions. Configure, price and quote (CPQ) software is a critical component in any leakage-prevention strategy.
SAP recently held a teleconference to highlight its blockchain strategy. Lately, the major business software vendors have been calling attention to their blockchain initiatives. While the focus on this technology might seem premature to those who still equate it with cryptocurrencies, evidence is pointing to a future pace of adoption similar to the rapid take-up of the internet in the 1990s. That blockchain is useful for a wide range of business functions isn’t news – just google “blockchain use cases.” Payment, provenance, testament and efficiency are four main themes driving a multitude of applications of the technology. That said, blockchain isn’t technology in search of a mission but is something more like the internet, both in its broad utility and in value multiplication through network effects.
Robots of the physical sort are not about to take over finance and accounting but we have arrived at the age of “Robotic Finance”. I coined this term to focus on four key technologies with transformative capabilities: artificial intelligence and machine learning, robotic process automation, bots and natural language processing and blockchain distributed ledger technology. Embracing these technologies will enable any department to redefine itself as a forward-looking strategic partner to the rest of the company.
The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its adoption.
Topics: Planning, Continuous Planning, FP&A, Integrated Business Planning, budget, Budgeting, Forecast, forecasting, Predictive Analytics, Analytics, Reporting, consolidating, Data Management, AI, Machine Learning, Cognitive Computing
Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in accounting, data preparation and reporting. (I recently summarized these in a “Robotic Finance”)
Topics: Planning, Continuous Planning, Integrated Business Planning, FP&A, budget, Budgeting, Forecast, forecasting, Predictive Analytics, Analytics, Reporting, consolidating, Data Management, AI, Machine Learning, Cognitive Computing
For several years, I’ve commented on a range of emerging technologies that will have a profound impact on white-collar work in the coming decade. I’ve now coined the term “Robotic finance” to describe this emerging focus, which includes four key areas of technology: Artificial intelligence (AI) and machine learning (ML), robotic process automation (RPA), bots utilizing natural language processing, and blockchain distributed ledger technology (DLT), each of which I describe below. Robotic finance will have a disproportionate impact on finance and accounting departments: I estimate that adoption of these technologies potentially will eliminate one-third of the accounting department’s workload within a decade.
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.