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: forecasting, Marketing, Budgeting, planning, In-memory, Accounting, CFO, Workday, controller, demand, Financial Performance Management, financial reporting, FPM, Integrated Business Planning, fund accounting
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.
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, forecasting, FP&A, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Human Capital, Kofax, Statistics, Analytics, Business Analytics, Hadoop, Business Intelligence (BI), Customer Performance Management (CPM), Data, Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), import.io
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, forecasting, Governance, GRC, Mobile Technology, Budgeting, close, Continuous Accounting, Continuous Planning, end-to-end, Human Capital, quote-to-cash, Tax, tax data warehouse, Analytics, Business Analytics, Business Collaboration, CIO, Cloud Computing, In-memory, Uncategorized, Accounting, Business Performance Management (BPM), CFO, CPQ, Financial Performance Management (FPM), Risk, risk management, CEO, 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, forecasting, 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), Predictive Analytics, prescriptive analytics
Ventana Research recently released the results of our Next-Generation Business Planning benchmark research. Business planning encompasses all of the forward-looking activities in which companies routinely engage. The research examined 11 of the most common types of enterprise planning: capital, demand, marketing, project, sales and operations, strategic, supply chain and workforce planning, as well as sales forecasting and corporate and IT budgeting. We also aggregated the results to draw general conclusions.
Topics: Big Data, Planning, Predictive Analytics, Sales, Social Media, forecasting, Marketing, Operational Performance Management (OPM), Reporting, Budgeting, Controller, sales forecast, strategic, workforce, Business Analytics, Cloud Computing, In-memory, Business Performance Management (BPM), CFO, Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain, Workforce Performance Management (WPM), capital spending, demand, Financial Performance Management, financial reporting, FPM, Integrated Business Planning, S&OP, spreadsheet
Last year Ventana Research released our Office of Finance benchmark research. One of the objectives of the project was to assess organizations’ progress in achieving “finance transformation.” This term denotes shifting the focus of CFOs and finance departments from transaction processing toward more strategic, higher-value functions. In the research nine out of 10 participants said that it’s important or very important for the department to take a more strategic role. This objective is both longstanding and elusive. It has been part of the conversation in financial management circles since the 1990s and has been a primary focus of my research practice since its inception 12 years ago. Yet our recent research shows that most finance organizations struggle with the basics and few companies are even close to achieving this desired transformation.
Topics: Big Data, Planning, Predictive Analytics, forecasting, Governance, GRC, Budgeting, close, end-to-end, quote-to-cash, Tax, Tax-Datawarehouse, Analytics, CIO, In-memory, Accounting, Business Performance Management (BPM), CFO, CPQ, Financial Performance Management (FPM), Risk, risk management, CEO, Financial Performance Management, FPM
Tagetik provides financial performance management software. One particularly useful aspect of its suite is the Collaborative Disclosure Management (CDM). CDM addresses an important need in finance departments, which routinely generate highly formatted documents that combine words and numbers. Often these documents are assembled by contributors outside of the finance department; human resources, facilities, legal and corporate groups are the most common. The data used in these reports almost always come from multiple sources – not just enterprise systems such as ERP and financial consolidation software but also individual spreadsheets and databases that collect and store nonfinancial data (such as information about leased facilities, executive compensation, fixed assets, acquisitions and corporate actions). Until recently, these reports were almost always cobbled together manually – a painstaking process made even more time-consuming by the need to double-check the documents for accuracy and consistency. The adoption of a more automated approach was driven by the requirement imposed several years ago by United States Securities and Exchange Commission (SEC) that companies tag their required periodic disclosure filings using eXtensible Business Reporting Language (XBRL), which I have written about. This mandate created a tipping point in the workload, making the manual approach infeasible for a large number of companies and motivating them to adopt tools to automate the process. Although disclosure filings were the initial impetus to acquire collaborative disclosure management software, companies have found it useful for generating a range of formatted periodic reports that combine text and data, including board books (internal documents for senior executives and members of the board of directors), highly formatted periodic internal reports and filings with nonfinancial regulators or lien holders.
Topics: Mobile, ERP, forecasting, Modeling, Reporting, Budgeting, close, closing, Consolidation, Controller, Finance Financial Applications Financial Close, IFRS, multinational Tagetik, process management, report, strategy, XBRL, Analytics, Business Analytics, Business Intelligence, Governance, Risk & Compliance (GRC), Accounting, Business Performance Management (BPM), CFO, Chief Financial Officer, compliance, Data, Financial Performance Management (FPM), benchmark, Financial Performance Management, financial reporting, FPM, GAAP, Integrated Business Planning, Profitability, SEC Software, spreadsheet
Our research consistently finds that data issues are a root cause of many problems encountered by modern corporations. One of the main causes of bad data is a lack of data stewardship – too often, nobody is responsible for taking care of data. Fixing inaccurate data is tedious, but creating IT environments that build quality into data is far from glamorous, so these sorts of projects are rarely demanded and funded. The magnitude of the problem grows with the company: Big companies have more data and bigger issues with it than midsize ones. But companies of all sizes ignore this at their peril: Data quality, which includes accuracy, timeliness, relevance and consistency, has a profound impact on the quality of work done, especially in analytics where the value of even brilliantly conceived models is degraded when the data that drives that model is inaccurate, inconsistent or not timely. That’s a key finding of our finance analytics benchmark research.
Topics: Big Data, Planning, Predictive Analytics, forecasting, Governance, Operational Performance Management (OPM), Budgeting, close, Finance Analytics, Tax, tax data warehouse, Analytics, Business Analytics, CIO, Governance, Risk & Compliance (GRC), In-memory, Accounting, Business Intelligence (BI), Business Performance Management (BPM), CFO, Financial Performance Management (FPM), Information Applications (IA), Risk, risk management, Workforce Performance Management (WPM), CEO, Financial Performance Management, FPM
Business computing has undergone a quiet revolution over the past two decades. As a result of having added, one-by-one, applications that automate all sorts of business processes, organizations now collect data from a wider and deeper array of sources than ever before. Advances in the tools for analyzing and reporting the data from such systems have made it possible to assess financial performance, process quality, operational status, risk and even governance and compliance in every aspect of a business. Against this background, however, our recently released benchmark research finds that finance organizations are slow to make use of the broader range of data and apply advanced analytics to it.
Topics: Big Data, Planning, Predictive Analytics, forecasting, Governance, Budgeting, close, Finance Analytics, Tax, tax data warehouse, Analytics, Business Analytics, CIO, Governance, Risk & Compliance (GRC), In-memory, Accounting, Business Intelligence (BI), Business Performance Management (BPM), CFO, Financial Performance Management (FPM), Information Management (IM), Risk, risk management, CEO, Financial Performance Management, FPM