ENTRIES TAGGED "Big Data"
2013 is the year you need to embrace "big data"
At TOC NY 2012 I made a point of telling attendees they need to learn the essentials of “big data.” It was still a fairly new concept then and a completely foreign one to most of the crowd. What a difference a year makes.
At next month’s TOC NY we’ll continue the dialog about big data and how it’s a resource every publisher needs to embrace. One of those TOC NY sessions features Rich Maraschi from IBM; I’ll have the pleasure of joining Rich in this session to help take big data from concept to reality.
Big data and better device and platform connectivity are on my wishlist
After you read these two recent articles about the top book industry stories and happenings of 2012 (and some predictions/hopes for 2013 from some industry gurus):
A Year in Digital Publishing and What To Expect in 2013, from The Literary Platform
Notables of 2012, from Publishers Weekly
you might agree with me that it’s been a mind-bogglingly crazy year of transmogrification, change and upheaval (and excitement!) in the publishing world over the past twelve months. The continued meteoric growth of ebook sales, the [real and imagined] Big Six mergers, the price-fixing collusion debacle, the arrival of gads of new devices like the iPad Mini and Kindle Paperwhite are just a few things that went down/broke loose this year.
A major publisher drops DRM, Harvard opens up, and a Reuters blogger sparks a news-for-sale debate.
Macmillan's imprints under publisher Tom Doherty Associates will be DRM-free come July, Harvard opens access to its data and research, and Felix Salmon suggests the NYT sell its scoops to hedge funds.
Peter Collingridge on real-time data and analytics in publishing.
Peter Collingridge, cofounder of Enhanced Editions, says big data can be eye opening for publishers. In this interview, Collingridge talks about the role of real-time data and analytics in publishing and about a new market intelligence service for books.
Kristian Hammond on how Narrative Science gives a voice to insights found in the growing world of big data.
Scaling content no longer requires new hires — Narrative Science automatically generates stories from data. In this interview, CTO Kristian Hammond explains how it works and how the expanding types of data are creating new storytelling opportunities.