Organizations need to use external data in planning and budgeting, both data and third-party forecasts. This need also extends to external data in training artificial intelligence systems to assist in planning and for predictive analytics. Companies do not live in a vacuum and things occurring outside physical facilities have a direct impact on how an organization performs. Incorporating external data and third-party forecasts in any systemic fashion is really only practical if you’re using dedicated planning and budgeting software. And increasingly, planning and budgeting software will be incorporating AI capabilities. Watch this brief video presentation by Ventana Research SVP and Research Director Robert Kugel to uncover the benefits of organizations using external data.
Sage recently announced that it is expanding its Sage Intacct software offering to support discrete manufacturing, with its initial foray into this competitive market centered in France. The move supports the company’s strategy of building out the scope of industries served by its cloud applications to include product-oriented business models and expanding Sage Intacct’s geographic footprint. The company has been extending the functionality it offers customers with human capital management as well as budgeting and planning and extending beyond its sole focus on service organizations to be able to support product-focused businesses. These include wholesale distribution, construction, retail (with the recently completed Bright Pearl acquisition) and now discrete manufacturing, specifically industrial machinery and supplies, electrical equipment and electronic parts.
Value-added tax is a type of levy that is applied at each step of a transaction chain, from basic inputs to the final good or service. The amount assessed is based on the value added by an organization (hence the name) when a transaction occurs. VAT is used throughout the world because, historically, it has been harder to evade compared to income taxes. VAT is a common method of national taxation: Approximately 85% of countries impose it worldwide. A notable exception is the United States, where sales and use taxes are imposed at the state and local level and applied only to the price of the final good or service. As commerce has become global and cross-border sales have increased, traditional methods for calculating, applying and complying with VAT regimes has grown more complex. To achieve higher tax revenue while ensuring better compliance, governments are turning to technology to make collections more effective while making processes more efficient.
I recently attended an analyst conference held by Unit4, an enterprise resource planning vendor focused on midsize organizations in people-centric industries. The conference was intended to communicate the company’s strategy, product updates and roadmap. The meeting took place shortly after announcement of the availability of Unit4 Industry Mesh and the acquisition of Compright, which does compensation planning as well as in the context of the broad technology shifts affecting ERP applications.
Topics: Human Capital Management, Office of Finance, Business Planning, Financial Performance Management, Talent Managment, ERP and Continuous Accounting, Total Compensation Management, digital finance
Software that automates the full scope of the accounting close, including reconciliations, consolidation and reporting, has grown more capable and affordable over the past five years. By enabling consistent process management that captures best practices, and by automating rote, repetitive activities to boost staff productivity, these applications enable organizations to shorten the close, make the process more efficient and reduce the risk of material errors by strengthening accounting controls. As accounting departments have learned over the past two years, close automation software helps ensure business continuity under any circumstance, especially as remote workforces that are able to perform the close virtually become more commonplace.
Reconciling accounts at the end of a period is one of those mundane finance department tasks that are ripe for automation. Reconciliation is the process of comparing account data (at the balance or item level) that exists either in two accounting systems or in an accounting system and somewhere else (such as in a spreadsheet or on paper). The purpose of the reconciling process is to identify things that do not match (as they must in double-entry bookkeeping systems) and then assess the nature and causes of the variances. This is followed by making adjustments or corrections to ensure that the information in an organization’s books is accurate. Most of the time, reconciliation is a matter of good housekeeping that identifies errors and omissions in the accounting process, including invalid journal postings and duplicate accounting entries, so they can be corrected. Reconciliation also is an important line of defense against fraud since inconsistencies may be a sign of such activity.
The use of artificial intelligence (AI) using machine learning (ML) will be the single most important trend in business software this decade because it can multiply the investment value of such applications and provide vendors an important source of differentiation to achieve a competitive advantage in what are today very mature software categories. I assert that by 2025, almost all Office of Finance software vendors will have incorporated some AI capabilities to reduce workloads and improve performance. However, software vendors will be challenged to apply innovations in this area quickly while ensuring that the AI capabilities function well enough in the real world to foster rapid adoption while avoiding user frustration. The failures of the Apple Newton and Microsoft’s Clippy office assistant stand out as examples of too-ambitious-too-soon attempts at infusing intelligent automation.
I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Business Planning 2022 is the distillation of a year of market and product research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect real-world criteria incorporated in a request for proposal to business planning vendors supporting the spectrum of planning. Using this methodology, we evaluated vendor submissions in seven categories: five relevant to the product experience ﹘ Adaptability, Capability, Manageability, Reliability and Usability ﹘ and two related to the customer experience ﹘ Total Cost of Ownership/Return on Investment and Vendor Validation.
Having just completed the 2022 Ventana Research Value Index for Business Planning, I want to share some of my observations about the business planning software market and how it has advanced as an important part of our market coverage for almost two decades. Dedicated applications for planning and budgeting have been around since the 1980s and are, therefore, quite mature, with robust features and functionality as well as continual refinements in usability and performance. Outwardly, the specifications for offerings in this category appear very similar, but how the software works is at least as important to buyers’ preferences. Moreover, planning is not a mechanical process, so despite limited differentiation at the surface, an organization can find that one vendor’s offering is a better fit for its individual approach to planning than others.
Ventana Research recently announced its 2022 Market Agenda for the Office of Finance, continuing the guidance we have offered since 2003 on the practical use of technology for the finance and accounting department. Our insights and best practices aim to enable organizations to operate with agility and resiliency, improving performance and delivering greater value as a strategic partner.
Topics: Office of Finance, Business Intelligence, Collaboration, Business Planning, Financial Performance Management, ERP and Continuous Accounting, Revenue, blockchain, robotic finance, Predictive Planning, AI and Machine Learning, lease and tax accounting, profitability management