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
Prophix is an established provider of financial performance management (FPM) software for planning and budgeting, forecasting, analysis and reporting, and managing the financial close and consolidation process. Its eponymous software is designed specifically for midsize companies or midsize divisions of larger corporations. These organizations are a distinctive segment of the market in that they have almost all the functional requirements of large enterprises but have fewer resources to apply to these critical tasks. Fortunately, the evolution of information technology over the past decade has been especially beneficial to midsize customers, bringing them expanded capabilities, substantially better performance and greater automation of routine tasks at an affordable total cost of ownership.
Topics: Analytics, Business Intelligence, Collaboration, Office of Finance, Continuous Planning, Financial Performance Management, Price and Revenue Management, Work and Resource Management, Sales Planning and Analytics, Budgeting, Planning, Integrated Business Planning, Midsize, Consolidation, accounting close, Reporting
Centage recently released Budget Maestro Version 9, a complete revamping of its longstanding budgeting application designed for midsize companies. The software, now offered as a multitenant cloud-based offering, delivers several structural improvements that can enhance the effectiveness of a company’s planning processes and at the same time is easier to use. Budget Maestro Version 9 is designed to support what Centage is calling a “Smart Budgets” approach to replace traditional budgeting. This approach is consistent with what we have been calling integrated business planning.
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: Analytics, Big Data, Budgeting, Business Analytics, Connotate, cryptic, Customer Performance Management (CPM), Data, data science, Datawatch, equity research, Finance Analytics, Financial Performance Management (FPM), FP&A, Human Capital, Kapow, Kofax, Office of Finance, Operational Performance Management (OPM), Planning, Predictive Analytics, Sales Performance Management (SPM), Social Media, Statistics, Supply Chain Performance Management (SCPM), Strata+Hadoop, Business Intelligence
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: Analytics, Big Data, Budgeting, Business Analytics, Business Collaboration, Business Performance Management (BPM), CEO, CFO, CIO, close, Cloud Computing, Continuous Accounting, Continuous Planning, CPQ, end-to-end, Financial Performance Management, Financial Performance Management (FPM), FPM, Governance, GRC, Human Capital, In-memory, Mobile Technology, Planning, Predictive Analytics, Risk, Social Media, Tax, Uncategorized, Office of Finance
Supply and demand chain planning and execution have grown in importance over the past decade as companies have recognized that software can meaningfully enhance their competitiveness and improve their financial performance. Sales and operations planning (S&OP) is an integrated business management process first developed in the 1980s aimed at achieving better alignment and synchronization between the supply chain, production and sales functions. A properly implemented S&OP process routinely reviews customer demand and supply resources and “replans” quantitatively across an agreed rolling horizon. The replanning process focuses on changes from the previously agreed sales and operations plan; while it helps the management team understand how the company achieved its current level of performance, its primary focus is on future actions and anticipated results. Adoption of S&OP has increased as software to support the process has become more powerful and affordable and as a growing list of companies demonstrated its value in producing meaningfully improved business results. Even without adopting a full-scale S&OP management approach, companies can benefit from better coordination and collaboration between their supply and demand functions. Software plays an important role here, too, in facilitating this coordination and collaboration.
Topics: Analytics, Business Analytics, Business Collaboration, Business Performance Management (BPM), Cloud Computing, Demand Chain, Financial Performance Management (FPM), Forecast, Human Capital, Integrated Business Planning, Mobile Technology, Operational Performance Management (OPM), Planning, SaaS, Sales, Sales Performance Management (SPM), Sales Planning, SCM Demand Planning, S&OP, Supply Chain, Supply Chain Performance Management (SCPM), Supply Chain Planning
Tidemark Systems offers a suite of business planning applications that enable corporations to plan more effectively. The software facilitates rapid creation and frequent updating of integrated company plans by making it easy for individual business functions to create their own plans while allowing headquarters to connect them to create a unified view. I coined the term “integrated business planning” a decade ago to highlight the potential for technology to substantially improve the effectiveness of planning and budgeting in corporations, and it remains true that integrating business planning can produce superior results. Companies that maintain direct links between functional or departmental plans more often have a planning process that works well than others. Our next-generation business planning benchmark research shows that two-thirds (66%) of those that maintain such links have a planning process that works well or very well, compared to 40 percent that copy information from individual plans into an overall plan and just 25 percent in which plans have little or no connection.
Topics: Analytics, Budgeting, Business Analytics, Business Collaboration, Business Mobility, Business Planning, Cloud Computing, Customer Performance Management (CPM), Demand Planning, Financial Performance Management (FPM), Governance, Risk & Compliance (GRC), Human Capital, Integrated Business Planning, Planning, Project Planning, Reporting, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Tidemark, Workforce Performance Management (WPM), Customer Experience, Marketing Planning, Predictive Analytics
Our benchmark research on next-generation business planning finds that a large majority of companies rely on spreadsheets to manage planning processes. For example, four out of five use them for supply chain planning, and about two-thirds for budgeting and sales forecasting. Spreadsheets are the default choice for modeling and planning because they are flexible. They adapt to the needs of different parts of any type of business. Unfortunately, they have inherent defects that make them problematic when used in collaborative, repetitive enterprise processes such as planning and budgeting. While it’s easy to create a model, it can quickly become a barrier to more integrated planning across the business units in an enterprise. As I’ve noted before, software vendors and IT departments have been trying – mainly in vain – to get users to switch from spreadsheets to a variety of dedicated applications. They’ve failed to make much of a dent because although these applications have substantial advantages over spreadsheets when used in repetitive, collaborative enterprise tasks, these advantages are mainly realized after the model, process or report is put to use in the “production” phase (to borrow an IT term).
Topics: Analytics, Budgeting, Business Analytics, Business Collaboration, Business Performance Management (BPM), Business Planning, Customer Performance Management (CPM), Demand Planning, Financial Performance Management (FPM), Integrated Business Planning, Operational Performance Management (OPM), Planning, Reporting, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Marketing Planning
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: Analytics, Budgeting, Business Analytics, Business Performance Management (BPM), Cloud Computing, Customer Performance Management (CPM), Financial Performance Management (FPM), Governance, Risk & Compliance (GRC), Human Capital, Operational Performance Management (OPM), Planning, Sales Performance Management (SPM), Big Data, Predictive Analytics