In a series of articles collected in the problem statement “Preparing for Big Data” we have outlined the concept of a data lake, a vision for a much wider, less organized form or storing and managing data for business intelligence purposes. In a data warehouse, data goes through a structured process for extraction, transformation, and […]
CIOs and CTOs must learn to address a challenge, involving the divide between the people who know about the vast amount of new sources of data emanating from machines and other devices (“big data”) and the questions in the enterprise whose answers can be monetized. CIOs and CTOs must learn to address a challenge, involving […]
A large amount of data is now being created by Web servers, point of sale systems, RFID sensors, networks, and a variety of other systems that have long been used by people in the data center for diagnostic purposes and for performance analysis. A large amount of data is now being created by Web servers, […]
Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: “Business […]
Early Adopter Research sat down with Matt Calkins, CEO of Appian, to discuss the convergence of social business, BPM, mobile, and existing applications to create a new concept called worksocial. In discussing this concept with Matt, Dan Woods, CEO and Founder of Early Adopter Research, was inspired to write a manifesto about “Completing the Social […]
How people can use a data fabric like Splunk to take machine data and use it to improve operational intelligence In the first article in this series, I explained what machine data is and how it can help business applications. In this article, I explain how people can use a data fabric like Splunk to […]
The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information. There is a convergence taking place in cutting-edge applications: The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information. The next generation of applications won’t […]
Wal-Mart had a big data problem before it was called “big data.” So did McDonald’s and any number of other massive companies. Big Data Problems From very early on, Wal-Mart had a big data problem, before it was called “big data.” So did McDonald’s and any number of other massive companies. These companies also had […]
Start planning for a world where signals are harvested from external repositories through APIs with built-in analytics. It is time for CIOs and CTOs to start planning for a world in which signals are harvested from external repositories through distributed APIs that have intelligence and analytics built in. So, today I’m starting a mission to […]
The idea that we won’t have to clean and disambiguate data is ludicrous. We’ve lived with enterprise business intelligence (BI) for several decades now, and it’s no secret that many of us are fed up with the inability of such expensive technology to deliver the business value we need. Some vendors have keyed into this […]
