Ventana Research recently awarded Workday a 2016 Technology Innovation Award for its newly released application, Workday Planning, because it simplifies and streamlines the budgeting and planning processes while facilitating collaboration, deepening visibility into spending and enabling tight fiscal control. These capabilities can help a variety of user organizations in several ways.
Topics: Big Data, Marketing, Office of Finance, Budgeting, In-memory, CFO, Workday, controller, demand management, Financial Performance Management, financial reporting, FPM, Integrated Business Planning
SYSPRO is a 35-year-old software vendor that focuses on selling enterprise resource planning (ERP) systems to midsize companies, particularly those in manufacturing and distribution. In manufacturing, SYSPRO supports make, configure and assemble, engineer to order, make to stock and job shop environments. The company attempts to differentiate itself through vertical specialization and its years of ongoing development, which can reduce the need for customization and cut the cost of initial and ongoing configurations to suit the needs of companies in these industries, thereby reducing the total cost of ownership. Worldwide its targeted verticals include electronics, food, machinery and equipment and medical devices; in the United States, SYSPRO adds automotive parts (original equipment and after-market) and energy. The company’s development efforts follow a design philosophy that balances its target customers’ need for software capabilities that are on par with larger enterprises with their resource constraints (chiefly limited financial resources and technical staffs). Its software can be deployed on-premises or in the cloud.
The annual Oracle OpenWorld user group meeting provides an opportunity to step back and take a longer view of business, industry and technology trends affecting the company. Last year, after listening to Larry Ellison’s and Mark Hurd’s vision for the future of IT, I wrote that Oracle had to continue shifting its focus to business applications because the accelerating shift to cloud computing would lead corporations to outsource their IT infrastructures, services and security to third parties. Eventually, this would substantially shrink the market for corporate IT departments, which has been Oracle’s strength. At this year’s conference the company demonstrated how it is applying its technology strengths to create a competitive advantage that it can apply to its broad business applications portfolio.
Vendavo is a vendor of business-to-business (B2B) price and revenue optimization software, which I have written about. A major focus of the conference sessions this year at the company’s annual user group meeting was on practical approaches to successful price optimization initiatives. While this category of software has been achieving increasing acceptance, penetration is still limited in the B2B segment, which includes, for example, industrial goods and services.
Topics: Big Data, Operational Performance Management (OPM), Business Analytics, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Vendavo, price, pricing, optimization, revenue, cu
Today’s proponents of artificial intelligence (AI) tend to focus on its spectacular uses such as self-driving cars and uplifting ones such as medical treatment. AI also has the potential to aid humanity in more modest ways such as eliminating the need for individuals to do tedious repetitive work in white-collar areas. Along these lines, at its recent Vision users conference, IBM displayed an application of its Watson cognitive computing technology designed to automate important aspects of regulatory and legal compliance. Should it prove workable, the application of cognitive computing to compliance could be the first step in achieving what various “Paperwork Reduction Act” legislation has failed to do: substantially cutting the time needed to comply with rules imposed by government entities.
Topics: Big Data, Operational Performance Management (OPM), Cloud Computing, Governance, Risk & Compliance (GRC), Uncategorized, Business Performance Management (BPM), Financial Performance Management (FPM), GRC, governance, risk, compliance, risk management
I recently wrote about the challenge some companies will face in planning and budgeting when new revenue recognition rules go into effect in most countries in 2018. It’s important for companies that will be affected to be sure they have the appropriate systems, processes and training to handle the more difficult demands imposed by the new rules. With the change in accounting, the time lag between when a contract is signed and when a company recognizes revenue from it may be more variable and less predictable than in the past. In extreme cases, performance measured by financial accounting will diverge materially from the “real” economic performance of the organization. Consequently, executives – especially those leading publicly listed companies – will need the ability to look at their plans from both perspectives and be able to distinguish between the two in assessing their company’s performance. In companies where the timing of revenue recognition can diverge substantially from current methods, financial planning and analysis (FP&A) groups will need to be able plan using models that incorporate financial and managerial accounting methods in parallel. They will need to be able to identify actual-to-plan variances caused by differences in contract values booked in a period and differences between the expected and actual timing of revenue recognized from contracts signed in a period.
Information technology enables a data-driven management style that was not feasible until powerful, affordable computers became generally available. There’s no bright line marking when this became possible; the process is ongoing. People were using financial analytics long before ENIAC, the first general-purpose computer, appeared, but the metrics available were not especially timely, broadly applicable to day-to-day situations or comprehensive enough to inform most management decision-making. Even today, there are many areas of business management where companies continue to operate much as they have in the past. One of those is pricing.
Topics: Big Data, Office of Finance, Operational Performance Management (OPM), Business Analytics, Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM)
New rules governing revenue recognition for contracts will go into effect for most companies in 2018. The Financial Accounting Standards Board (FASB), which administers Generally Accepted Accounting Principles in the U.S. (US-GAAP) has issued ASC 606, and the International Accounting Standards Board (IASB), which administers International Financial Reporting Standards (IFRS) used in most other countries, has issued IFRS 15. The two are very similar and will enforce fundamental changes in this area of accounting. The new rules will affect companies that use even moderately complex contracts in their dealings with customers. They include, for example, contracts that are structured using tiered pricing or volume discounts or ones that routinely involve modifications, such as adding or dropping users, or that allow seasonal changes to services. The changes necessitate an extensive review of an organization’s contracting and accounting policies and processes and are likely require changes to procedures and systems. Companies affected by the new rules also will need to examine their planning and budgeting processes. Those that currently use desktop spreadsheets for planning and budgeting should consider adopting dedicated planning and budgeting software in order to cope effectively with the increased complexity of planning in this new environment.
I coined the term “cryptic data” to mean information that isn’t easy to find or access by people who could make use of it. In one instance, cryptic data offers professional investors – portfolio managers and securities analysts – a source of proprietary information that can improve their ability to pick stocks and achieve superior performance relative to their benchmarks. Automation through technology now makes collecting cryptic data substantially more efficient than manual methods and thus makes accessing it practical. In particular, Web scraping tools (what I call “data drones”) can be programmed to retrieve specific information once or on an ongoing basis. Although this data is accessible to anyone, it requires insight and experience to understand how to use it for superior investment performance.
Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.
Topics: Big Data, data science, Planning, Predictive Analytics, Social Media, FP&A, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Human Capital, Kofax, Statistics, Analytics, Business Analytics, Business Intelligence, Customer Performance Management (CPM), Data, Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Strata+Hadoop