Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

The gaming company revamped not only its analytics technology stack, but the guiding principles on which it processed its data, stressing business relevance and scalability.

And it has much more data in a set of Hadoop clusters—nobody

Like many private-sector firms, the military is accumulating data at a rate faster than it can analyze

who possess a higher level of IT capabilities and the ability to manipulate big data technologies specifically (as compared with traditional quantitative analysts).

Big data technologies include a variety of hardware/software architectures, including clustered parallel servers using Hadoop/MapReduce, dedicated big data appliances, in-memory analytics, in-database processing, and so forth.

One example of a focused big data start-up is Operating Analytics, a Boston-based firm that uses data and analytics to help hospitals optimize the use of their operating rooms.

Analysts estimate that fifty billion sensors will be connected to the internet by 2025 (“the Internet of Things”), and each one can produce a passel of data. While early prognostications suggested that internet-connected

prescriptive analytical models are embedded into key operational processes, someone needs to work with frontline workers and process owners to bring about needed changes in roles, process designs, and skills. It goes almost without saying that the skills,

GPS tracking on trucks and trains means that arrival times for shipments can be more precisely predicted. Transportation