Ventana Research recently announced its 2021 research agenda for Operations and Supply Chain, continuing the guidance we’ve offered for nearly two decades to help organizations across industries derive optimal value from business technology and improve outcomes.
Profitability management produces a sustainable competitive advantage but by 2025 only one-third of companies will have implemented a profitability management initiative, explains Ventana Research SVP and Research Director Robert Kugel. This brief video shows why FP&A organizations must be part of a profitability management approach to pricing and costing.
One of the oddities of corporate management is that, as a rule, nobody oversees managing profitability. CEOs are accountable for meeting company-wide financial targets and assign responsibility for achieving profitability levels to business unit owners across and down an organization. Sales quotas designed to achieve revenue goals are put in place, and budget owners have cost and margin objectives. But setting profitability objectives is not the same as managing profitability.
The last decade has seen exponential growth amongst subscription-based business models. Pioneered in the B2C market with cloud-based SaaS offerings, the last decade has seen exponential growth in the share of the economy that is now subscription based. Increasingly, this modern business model is permeating throughout more traditional style industries and companies. But regardless of whether a company is natively subscription based, or is transitioning, maintaining this growth requires organizations to foster long-term relationships with customers and deliver products and services that get better over time.
Topics: Sales, Customer Experience, Office of Finance, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Contact Center, Product Information Management, Price and Revenue Management, Digital Commerce, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, robotic finance, AI and Machine Learning, revenue and lease accounting, subscription management, agent management, intelligent sales, sales enablement
An important recent development in software designed for the Office of Finance is the addition of what we’re calling a data aggregation device (DAD) for analytical applications. A DAD automates the collection of data from disparate sources using, for example, application programming interfaces (APIs) and robotic process automation (RPA). With a DAD, users of the analytical application have immediate access to a much broader data set; one that incorporates operational as well as financial data from internal and external sources. The larger data set enables a much more expansive set of analyses than has been feasible in the past because the process of acquiring the data is automated, and the data aggregation is handled in a controlled manner. This control means that data in the system is authoritative, accurate, consistent, complete and secure. The difference between a DAD and a finance data mart is that the former is prebuilt for the specific application, and therefore eliminates this source of implementation costs and offers faster time to value.