The traditional office of finance has five main organs: accounting keeps the books; financial planning and analysis (FP&A) analyzes performance and manages the forward-looking activities of the company such as planning, budgeting and forecasting; corporate finance raises outside money; treasury takes care of the cash and bank accounts, and tax. The modern office of finance requires a sixth: Finance IT (FIT).
Topics: Office of Finance, Analytics, Financial Performance Management, Price and Revenue Management, Digital Technology, Operations & Supply Chain, ERP and Continuous Accounting, blockchain, robotic finance, Predictive Planning, Conversational Computing, AI and Machine Learning, revenue and lease accounting, collaborative computing, subscription management
A quarter century ago the “fast, clean close” became a key measure of a finance and accounting department’s effectiveness. Since then there has been general agreement that companies should be able to close their books within a business week. Our research on the accounting close has consistently shown that companies with very similar characteristics (measured in terms of revenue, number of employees, location and industry) vary considerably in the number of days it takes them to complete their accounting cycle. The lack of connection between the structural conditions of a corporation and the time it takes to close the books suggests that the obstacles to a faster close are not innate, but the result of poor process design and execution, insufficient automation of the process as well as choices made by finance executives. One of those choices is deciding — for whatever reason — not to close sooner.
By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to include all financial and operational information that can yield actionable insights. Analysis thus should include, for example, data from the systems that manage sales operations, human resources and field service and that data must be available to all departments and applications that need it.
Topics: Customer Experience, Human Capital Management, Voice of the Customer, embedded analytics, Learning Management, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, ERP and Continuous Accounting, blockchain, natural language processing, robotic finance, Predictive Planning, candidate engagement, Intelligent CX, Conversational Computing, Continuous Payroll, AI and Machine Learning, revenue and lease accounting, collaborative computing, mobile computing, subscription management, total rewards management, intelligent marketing, intelligent sales
What’s the easiest way to completely immobilize a 500,000-ton ship?
Lose a sheet of paper.
The paperwork that accompanies international trade is a serious source of friction, inefficiency — and therefore cost — in supply chain execution. Trade documentation requires massive amounts of paper that today can be replaced by digital data. In 2018, Maersk, the world’s largest shipping company, teamed up with IBM to create TradeLens, a digital platform that utilizes blockchain technology as a secure, unified source of trade transaction data used by businesses, financial institutions and government authorities. TradeLens is designed to enable all participants to connect, share information and collaborate, providing them with a comprehensive view of the data they need to transact trade. The system makes it possible to digitally collaborate in handling their global supply chains.
Infor recently held their Innovation Summit at Infor corporate headquarters in New York. At this annual event, they spend a good deal of time talking about progress on current initiatives and the exciting parts of the development roadmap. A key focus this year was AI and machine learning with Infor Coleman.