Robert Kugel's Analyst Perspectives

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

Aria Systems provides companies with software for managing subscription or recurring revenue business models. A recurring revenue business models includes three types of selling and billing structures: a one-time transaction plus a periodic service charge; subscription-based services involving periodic charges; or a contractual relationship that charges periodically for goods and services. Aria’s cloud-based software addresses key requirements of users in the marketing, sales, operations and accounting functions in this type of business.

Topics: SaaS, Sales, Customer Engagement, Customer Experience, ERP, Marketing, NetSuite, Office of Finance, Operational Performance Management (OPM), Recurring Revenue, customer life cycle, Business Analytics, Cloud Computing, Customer Service, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), billing software

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: Planning, SaaS, Sales, Forecast, Mobile Technology, Operational Performance Management (OPM), Human Capital, Supply Chain Planning, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Business Performance Management (BPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Sales Planning, Supply Chain, Supply Chain Performance Management (SCPM), Demand Chain, Integrated Business Planning, SCM Demand Planning, S&OP

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

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

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: Planning, Marketing Planning, Operational Performance Management (OPM), Reporting, Budgeting, Analytics, Business Analytics, Business Collaboration, Business Performance Management (BPM), Business Planning, Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Demand Planning, Integrated Business 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: 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)

Revenue recognition standards for companies that use contracts are in the process of changing, as I covered in an earlier perspective. As part of managing their transition to these standards, CFOs and controllers should initiate a full-scale review of their order-to-cash cycle. This should include examination of their company’s sales contracts and their contracting process. They also should examine how well their contracting processes are integrated with invoicing and billing and any other elements of their order-to-cash cycle, especially as these relate to revenue recognition. They must recognize that how their company structures, writes and modifies these contracts and handles the full order-to-cash cycle will have a direct impact on workloads in the finance and accounting department as well as on external audit costs. Companies that will be affected by the new standards also should investigate whether they can benefit from using software to automate contract management or in some cases an application that supports their configure, price and quote (CPQ) function by facilitating standardization and automation of their contracting processes.

Topics: Planning, Office of Finance, Operational Performance Management (OPM), Reporting, Revenue Performance, Budgeting, Tax, Business Performance Management (BPM), Financial Performance Management (FPM), Sales Performance Management (SPM)

For most of the past decade businesses that decided not to pay attention to proposed changes in revenue recognition rules have saved themselves time and frustration as the proponents’ timetables have slipped and roadmaps have changed. The new rules are the result of a convergence of US-GAAP (Generally Accepted Accounting Principles – the accounting standard used by U.S.-based companies) and IFRS (International Financial Reporting Standards – the system used in much of the rest of the world). Now, however, it’s time for everyone to pay close attention. Last year the U.S.-based Financial Accounting Standards Board (FASB, which manages US-GAAP) and the Brussels-based International Accounting Standards Board (IASB, which manages IFRS) issued “Topic 606” and “IFRS 15,” respectively, which express their harmonized approach to governing revenue recognition. A major objective of the new standards is to provide investors and other stakeholders with more accurate and consistent depictions of companies’ revenue across multiple types of business as well as make the standard consistent between the major accounting regimes.

Topics: Planning, Customer Experience, Office of Finance, Reporting, Revenue Performance, Budgeting, Tax, Governance, Risk & Compliance (GRC), Business Performance Management (BPM), commission, Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM)