Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.
Historical Databases: Becoming a Thing of the Past?
Posted by
David Menninger on Aug 13, 2019 7:00:00 AM
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Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Lake, Information Management, Internet of Things, Data, Digital Technology, AI and Machine Learning
“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
The Internet of Things: Real-Time Data and Analytics Enable Business Innovation
Posted by
David Menninger on May 20, 2019 6:00:00 AM
The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions. To do this IoT requires a set of event-centered information and analytic processes that enable people to use that event information to make optimal decisions and take act effectively.
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Topics: business intelligence, embedded analytics, Analytics, Collaboration, Internet of Things, Data, Information Management (IM), Digital Technology, data lakes, AI and Machine Learning
Big Data for Business: A Requirement for Today’s Business Analytics
Posted by
David Menninger on May 13, 2019 6:00:00 AM
Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.
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Topics: Analytics, Business Intelligence, Data Governance, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, blockchain, data lakes, AI and Machine Learning
