Once again, bigger than ever, here is the 2017 Big Data Landscape:
For more on Big Data, click here.
For our investing criteria: Investment Criteria.
For Matt’s useful 2017 update, here.
Here is version 3.0 of the Big Data Landscape, from Matt Turck, now at FirstMark.
And, for some context, here is the prior version:
The door to your personal uber-search has now been opened. Several emerging companies are working on various versions, but the basic idea is to conduct the perfect search across all of your personal content, on your various devices and in your personal cloud accounts, like Facebook and Evernote. Isn’t this turf in Google’s backyard? Click here for TechCrunch’s profile of CloudMagic as a current leader in this space. It’s latest release now covers Google Docs, Google Contacts, Google Calendar, Microsoft Exchange, Twitter,
Facebook, Dropbox, Evernote, Box, iCloud, AOL, Mail.com, GMX, and Office 365.
Placed, a Seattle-based startup, is building one of the largest location-based databases around.
In July I noted that Placed is collecting 400 data points from 300 million locations (per CEO David Shim, as reported by Derrick Harris from GigaOM), i.e., a dataset of 120 billion elements each time it is updated. Impressive!
Devindra Hardawar from Venturebeat reported in August 2012 that Placed recorded 1 billion data elements in 60 days, which says that Placed may have a long way to go to execute its plan. In fact, at the current rate the Placed database would be completed by 2032.
In any event, Placed is up to something very intriguing, since it’s one of a few companies that are both “cleaning” location data (to fill out holes where GPS coordinate data is lacking) and adding a robust set of interpretative data (demographics, velocity, location characteristics, etc.) to enable marketers to have actionable intelligence.
In October 2012 the company launched Placed Panels to enable businesses to recruit their own “panels” of consumer participants to gather location data around their own unique interests.
Local content and ad delivery continue to get smarter with more context around people, places and how they’re connected, says Michael Boland of BIA/Kelsey.
With smartphone penetration breaking the 50 percent barrier, there is an explosion in geo-data, and various alternatives are emerging to make sense of it.
One approach getting traction is to combine location data with “Big Data” on users (demographic, behaviorial, historical) and contextual data to help marketers extract more useful information. Examples are Localeze, Sense Networks, PlaceIQ, Placed, Locu, Factual, Urban Mapping, and mobile local ad networks xAd, WHEREads, JiWire.
Read more here. Are there other approaches possible? A topic for another day…
October 22 update: Mike Boland provides an update on the some of the players here.