The treasury function in finance departments doesn’t get a lot of attention, but it’s a fundamentally important one: to ensure that all funds are accounted for and that there is sufficient cash on hand each day to meet operating requirements. Keeping track of and managing cash, especially in larger organizations, can be complicated because of multiple bank accounts, complex financing requirements and various methods of receiving and making payments; the complexity deepens when more than one currency is used across multiple jurisdictions, which also can pose regulatory issues.
There were two noteworthy themes in SAP CEO Bill McDermott’s keynote at this year’s Sapphire conference. One was customer assurance; that is, placing greater emphasis on making the implementation of even complex business software more predictable and less of an effort. This theme reflects the maturing of the enterprise applications business as it transitions from producing highly customized software to providing configurable, off-the-rack purchases. Implementing ERP will never be simple, as I have noted, but as companies increasingly adopt multitenant software as a service (SaaS), vendors will need to make their implementations as repeatable as possible and enable flexible configuration of parameters and processes that substantially reduce the billable hours required to complete a deployment. “Customer assurance” is an important stake in the ground, but it will be an empty concept unless there is complete overhaul of the entire value chain to take it beyond good intentions. Otherwise, customer assurance will be an ongoing rearguard action to overcome technology-driven challenges and disincentives for improvement. Business applications must be re-engineered to facilitate implementation, substantially reduce the likelihood of implementation errors and facilitate subsequent changes to adapt to changing business conditions. Moreover, software vendors’ partners will need to demonstrate that they can reliably cut a substantial number of billable hours per implementation engagement. This will require partners to restructure their business models. Neither of these changes will be easy to accomplish. To its credit SAP has set a course for increasing the simplicity of using its core ERP and financial management software. Getting there soon would greatly enhance its ability to retain if not gain customers in these mature markets.
Topics: Predictive Analytics, SAP, Operational Performance Management (OPM), Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)
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
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: Planning, Predictive Analytics, Customer Experience, Marketing Planning, Reporting, Budgeting, Human Capital, Analytics, Business Analytics, Business Collaboration, Business Mobility, Cloud Computing, Governance, Risk & Compliance (GRC), Business Planning, Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Tidemark, Workforce Performance Management (WPM), Demand Planning, Integrated Business Planning, Project Planning
Whatever Oracle’s cloud strategy had been the past, this year’s OpenWorld conference and trade show made it clear that the company is now all in. In his keynote address, co-CEO Mark Hurd presented predictions for the world of information technology in 2025, when the cloud will be central to companies’ IT environments. While his forecast that two (unnamed) companies will account for 80 percent of the cloud software market 10 years from now is highly improbable, it’s likely that there will be relentless consolidation, marginalization and extinction within the IT industry sector driven by cloud disruptions and the maturing of the software business. In practice, though, we expect the transition to the cloud to be slow and uneven.
Topics: Microsoft, Predictive Analytics, SAP, ERP, FP&A, Mobile Technology, NetSuite, Office of Finance, Operational Performance Management (OPM), Reporting, close, closing, Controller, dashboard, Human Capital, Tax, Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Business Performance Management (BPM), CFO, Customer Performance Management (CPM), Data, finance, Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Financial Performance Management, FPM, Intacct, Spreadsheets
Unit4 is a global business software vendor focused on business and professional services, the public sector and higher education. Recently company executives met with industry analysts to provide an update of its strategic roadmap and to recap its accomplishments since being acquired by a private equity firm in 2014. Unit4 is the result of successive mergers of ERP and business software companies, notably CODA and Agresso. The company is also a part-owner (with salesforce.com and others) of independently run FinancialForce, which sells a cloud-based ERP system built on the Force.com platform.
Topics: Predictive Analytics, Office of Finance, Operational Performance Management (OPM), Human Capital, Business Analytics, Business Collaboration, Business Performance Management (BPM), Financial Performance Management (FPM)
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)
Managing prices has always been an activity of keen interest to businesses, but it has become even more critical to do it well. Over the past decade many companies have found their ability to raise prices has been constrained by intense competition resulting from Internet commerce, global competition and other factors. One tool for dealing with this pressure is price and revenue optimization (PRO), an analytic methodology that calculates how demand varies at different price levels and then uses that algorithm to recommend prices that should optimally balance revenue and profit objectives. Computer-supported PRO began in earnest in the 1980s as the airline and hospitality industries adopted revenue management practices in efforts to maximize returns from less flexible travelers (such as people on business trips) while minimizing the unsold inventory by selling incremental seats on flights or nights in hotel rooms at discounted prices to more discretionary buyers (typically vacationers). Price and revenue optimization algorithms are designed to enable a company to achieve fatter profit margins than are possible with a monolithic pricing strategy. Using PRO, airlines and hotels catering mainly to less price-sensitive business travelers found they could match discounters’ fares and rates to fill available seats and rooms without having to forgo profits from their high-margin customers.
Topics: Big Data, Performance Management, Predictive Analytics, Sales, Office of Finance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Performance Management (BPM), Financial Performance Management (FPM), Sales Performance Management (SPM), analytical application, Price Optimization
It’s stating the obvious to say that how well executives manage planning processes has a big impact on how well a business unit or company plans. However, one significant source of the value of our benchmark research is that it establishes hard evidence – the numbers – that transforms mere assertions into proof points. This is particularly important when people within an organization want to improve a process. Change management is facilitated by providing senior executives with facts to back up assertions related to solving a business issue. Our recently completed next-generation business planning research provides insight into the importance of managing the planning process well and identifies some components of good management.
Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Human Capital, Business Analytics, Cloud Computing, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain, Supply Chain Performance Management (SCPM), S&OP