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.
Dynamic Insights from Research on Finance Analytics
Posted by
Robert Kugel on Sep 19, 2019 8:30:00 AM
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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
“Platform,” as used in the world of technology, originally referred to an operating system on which one could construct software applications. More recently, its usage has been expanded to apply to two types of business models. One enables third parties to create products and services that are complementary to a company’s core technology. For instance, both Apple and Salesforce have attracted a wide array of third-party software developers whose offerings greatly increase the value of each software vendor’s platform to its customers. The second, such as Amazon’s marketplace, Facebook, Twitter and Uber, facilitates transactions and interactions. This latter type adds value by reducing transaction frictions and increasing efficiency and, in attracting large numbers of people to the platform, enables innovative business offerings to take advantage of Metcalf’s law — the “network effect.”
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Topics: Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Continuous Planning, Information Management, Internet of Things, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, robotic finance, Predictive Planning, revenue and lease accounting, collaborative computing, mobile computing, subscription management
How to Prove You Aren’t a Dog: Blockchains For Identity Management and Certification
Posted by
Robert Kugel on May 22, 2019 6:00:00 AM
Identity management is an old problem that has taken on new dimensions in the digital world. In 1993, at the dawn of the World Wide Web (WWW), The New Yorker ran a cartoon featuring two dogs talking, one perched in front of a computer. The caption reads: “On the Internet, nobody knows you’re a dog.” The phrase quickly evolved into a meme highlighting the issue of identity uncertainty in the new digital environment.
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Topics: Human Capital Management, Office of Finance, Learning Management, Internet of Things, Data, Workforce Management, Digital Technology, ERP and Continuous Accounting, blockchain, candidate engagement, collaborative computing
