I’ve written before about blockchain’s significant potential. A lot of the current discussion on the topic centers on cryptocurrencies and financial trading platforms, both of which are already in operation. However, my focus is on its applicability to business generally, especially in B2B commerce, where I believe there is significant potential for it to serve as a universal data connector. There’s also a great deal of potential for blockchain to provide individuals with greater power in managing their identity and greasing the wheels of trade. That noted, those designing and planning to implement commerce-related blockchains must address fundamental issues if blockchain technology is to achieve its potential.
Topics: Sales, Human Capital Management, business intelligence, Collaboration, Internet of Things, Data, Product Information Management, Digital Commerce, Enterprise Resource Planning, blockchain, candidate engagement, collaborative computing, continuous supply chain
Human resources and recruiting departments, and most job candidates, are well aware that we are firmly in a seller’s market when it comes to finding and hiring high-quality talent. Primary reasons for this include record low unemployment, the need to fill a variety of digital-age jobs across all industries that did not exist a few years ago and organizations competing fiercely to make their value proposition to candidates more attractive. This emphasis on effectively engaging candidates to maximize recruiting has motivated employers to devise new ways of elevating candidate interactions and personalizing the engagement experience. Some of these new methods are proving effective, while others may yield better results only when other variables are present.
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
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.
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