Finding Business Insights in Machine Data
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]
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 […]
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 […]
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 […]
Data scientists are needed to help turn big data into a richer model of the customer. What is a data scientist? That’s the question asked of Dan Woods in this […]
The first draft of a program for finding and making use of external data to improve business results. In the Forbes article “Do You Suffer From the ‘Data Not Invented […]