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
The imperative to transform the finance department to function in a more strategic, forward-looking and action-oriented fashion has been a consistent theme of practitioners, consultants and business journalists for two decades. In all that time, however, most finance and accounting departments have not changed much. In our benchmark research on the Office of Finance, nine out of 10 participants said that it’s important or very important for finance departments totake a strategic role in running their company. The research also shows a significant gap between this objective and how well most departments perform. A large majority (83%) said they perform the core finance functions of accounting, fiscal control, transaction management, financial reporting and internal auditing, but only 41 percent said they play an active role in their company’s management. Even fewer (25%) have implemented a high degree of automation in their core finance functions and actively promote process and analytical excellence.
Topics: Big Data, Planning, Predictive Analytics, Social Media, Governance, GRC, Mobile Technology, Office of Finance, Budgeting, close, Continuous Accounting, Continuous Planning, end-to-end, Human Capital, Tax, Analytics, Business Analytics, Business Collaboration, CIO, Cloud Computing, In-memory, Uncategorized, Business Performance Management (BPM), CFO, CPQ, Financial Performance Management (FPM), Risk, CEO, Financial Performance Management, FPM
The enterprise resource planning (ERP) system is a pillar of nearly every company’s record-keeping and management of business processes. It is essential to the smooth functioning of the accounting and finance functions. In manufacturing and distribution, ERP also can help plan and manage inventory and logistics. Some companies use it to handle human resources functions such as tracking employees, payroll and related costs. Yet despite their ubiquity, ERP systems have evolved little since their introduction a quarter of a century ago. The technologies shaping their design, functions and features had been largely unchanged. As a measure of this stability, our Office of Finance benchmark research found that in 2014 companies on average were keeping their ERP systems one year longer than they had in 2005.
Topics: Big Data, Microsoft, SAP, Social Media, ERP, FP&A, Mobile Technology, NetSuite, Office of Finance, Operational Performance Management (OPM), Reporting, close, closing, Controller, dashboard, Human Capital, Reconciliation, Analytics, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Uncategorized, Business Performance Management (BPM), CFO, Data, finance, Financial Performance Management (FPM), Supply Chain Performance Management (SCPM), Financial Performance Management, FPM, Intacct
Tagetik is a long-established vendor of financial performance management (FPM) software. Its full-featured suite includes planning, budgeting, consolidation, close management, disclosure management, analysis, dashboards and reporting. The software can be deployed on premises or in the cloud as multitenant software as a service or in a private cloud. Tagetik also offers pre-built integration with SAP and SAP HANA, Microsoft SharePoint and Qlik to best support a range of financial management needs.
Optimization is the application of algorithms to sets of data to guide executives and managers in making the best decisions. It’s a trending topic because using optimization technologies and techniques to better manage a variety of day-to-day business issues is becoming easier. I expect optimization, once the preserve of data scientists and operations research specialists will become mainstream in general purpose business analytics over the next five years.
Topics: Big Data, Performance Management, Social Media, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Price Optimization
Longview’s recent Dialog user group meeting highlighted the company’s continued commitment to providing much needed automation tools for improving tax department performance – tools that enable the tax function to play a more strategic role in the management of a company. The sessions also covered the capabilities contained in the company’s latest release, Longview 7.2 Update 2 and gave customers a detailed product evolution roadmap following their merger with arcplan.
IBM’s Vision user conference brings together customers who use its software for financial and sales performance management (FPM and SPM, respectively) as well as governance, risk management and compliance (GRC). Analytics is a technology that can enhance each of these activities. The recent conference and many of its sessions highlighted IBM’s growing emphasis on making more sophisticated analytics easier to use by – and therefore more useful to – general business users and their organizations. The shift is important because the IT industry has spent a quarter of a century trying to make enterprise reporting (that is, descriptive analytics) suitable for an average individual to use with limited training. Today the market for reporting, dashboards and performance management software is saturated and largely a commodity, so the software industry – and IBM in particular – is turning its attention to the next frontier: predictive and prescriptive analytics. Prescriptive analytics holds particular promise for IBM’s analytics portfolio.
Topics: Big Data, Planning, Predictive Analytics, Operational Performance Management (OPM), Budgeting, Human Capital, Analytics, Business Analytics, Cloud Computing, Governance, Risk & Compliance (GRC), Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM)