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jerryking : factual   7

Push to exploit an ocean of information
Richard Waters Source: The Financial Times. (Dec. 10, 2012): News: p19

Like anticipating film demand and judging the effectiveness of window displays, much of the effort in the field of big data analytics is aimed at making existing companies more effective. Designing products, setting optimal prices and reaching the best prospects among potential customers are turning into data-driven exercises.

But it is also throwing up disruptive new businesses. Companies set up from scratch have the chance to draw on public streams of digital data to enter markets that were once closed to incumbents with long-established customer relationships and proprietary information. And such businesses come without the legacy technology platforms, entrenched business processes and cultural norms that make it hard for big groups to change.

"Even if you're not a bank or a healthcare company, you can play in banking or healthcare," says James Manyika, director at McKinsey's research arm.
massive_data_sets  Quantifind  Hollywood  Climate_Corporation  sensors  Euclid_Analytics  Kabbage  Factual  disruption  start_ups  McKinsey  data_driven  new_businesses  large_companies  open_data  legacy_players  digital_disruption  customer_relationships  legacy_tech  cultural_norms  Richard_Waters 
february 2013 by jerryking
Big-Data Investing Gets Its Own Supergroup -
August 12, 2012 | NYT | By QUENTIN HARDY.

The Data Collective is a fund specializing in investments in companies doing everything from creating large, complex databases and faster processing of information from diverse sources, to applications that make use of novel and interesting patterns that might be exploited. The initial fund is small, but the outfit clearly has some very large ambitions.
massive_data_sets  investors  Square  Factual  Kaggle  Citus_Data 
august 2012 by jerryking
Data as a Renewable Commodity and Profit Center — Jason Kolb dot Com
June 6, 2011 | Jason | By Jason Kolb.

One of the reasons I love data is because there’s so much potential for mining real value from it, especially when you combine it with other, new data sources. In fact it acts a lot like a traditional commodity such as copper or wool in that someone produces it, and then someone else buys the raw material and makes something new from it. It’s unique from traditional commodities, however, in that it doesn’t get used up at all when it’s used to create something new–this makes it particularly interesting from an economic point of view.

In addition, anyone can make it, it doesn’t get used up, and the industry of using data to create new and valuable things is still so young and ripe for profit-making. In fact I think it’s one of the areas that America needs to focus on if its economy is to recover because for the most part it’s still virgin territory and it’s going to create a lot of economic value. What I really don’t want to see is foreign companies being the first to capitalize on the data as that would suck most of the value out of our economy, just what we don’t need right now.
data  commercialization  renewable  commodities  metadata  Factual  Infochimps  data_scientists  information_sources 
june 2012 by jerryking
Data-as-a-Service: Factual, InfoChimps & Google Squared
Oct. 20, 2010, By Imran Ali . Do you have unique datasets in
your biz. that could be valuable to others?...dB apps have been
curiously absent from the mix of web worker productivity tools...a new
generation of tools are providing this functionality. DaaS providers are
emerging enabling users to create, manage & publish specialized
datasets, providing both authoring tools & opportunities to
participate in a web of data, not just of pgs...Factual bills itself as
an “open data repository” where users can upload & create datasets,
as well as add data hosted by Factual to their own sites &
apps...InfoChimps positions itself as a “data mktplace” enabling
publishers & owners of datasets to charge for their usage.
Publishers can offer free & paid datasets, charging either for API
access or for making them downloadable. Some datasets are organized into
collections from particular organizations,e.g. Wikipedia &
==> InfoChimps allows orgs. to outsource mgmt. of their open data
What's an example of a company creating a valuable dataset from scratch?
DaaS  Infochimps  Factual  data  Google_Squared  Freshbooks  massive_data_sets  databases  data_scientists  commercialization 
july 2011 by jerryking

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