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Anzo views Web Dashboards That Do Much More Looking to do some serious analysis of data scattered across Excel spreadsheets? Anzo web dashboards give you everything you'd expect from a state-of-the-art business reporting tool, and much more. Like most reporting tools, Anzo lets non-technical users create new tables, charts, and drill-downs in minutes. Big data: Global good or zero-sum arms race? Last month, Netezza CEO Jim Baum gave a talk at the GigaOM big data event. If I’m honest, I was checking my email and missed most of it, but I do remember tuning in just in time to hear him say something like “big data is going to have a huge economic impact.” I spend most of my days considering how the component pieces of this big data transformation will impact the corporate enterprise. Baum’s comment got me thinking, though, about a more meta question: Is “big data” a key to some kind of industrial revolution reboot? Or, is it just going to be expensive table stakes for previously simple-to-understand businesses?

5 Predictions for Online Data In 2011 Josh Jones-Dilworth is the founder and CEO of Jones-Dilworth, Inc. a PR consultancy focused on bringing early stage technologies to market. He blogs at joshdilworth.com. A lot has changed since this post’s forbearer last December, so much so that I think it’s safe to say that data, particularly as it relates to marketing and social media, is no longer an annual topic, but rather a daily one. Below, I outline five data-driven trends that will shape our coming year. 1. “Data scientist” Is the New Community Manager

Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)! Although programming experience is helpful, Protovis is mostly declarative and designed to be learned by example. Protovis is no longer under active development.The final release of Protovis was v3.3.1 (4.7 MB).

IT Looks for New Tools to Exploit 'Big Data' Computerworld - As tools for real-time and batch analysis of so-called big data emerge, IT operations are gaining the ability to track the activities, habits and movements of customers with great precision. Experts say many businesses want to better analyze data stored in emerging massively parallel databases like the open-source Apache Hadoop framework to learn where their customers are employed, what they do in off-hours and who they spend time with. The information could help companies tailor Web-based advertising and marketing materials to specific customers. "[The trend] will change our existing notions of privacy.

FTC Fair Information Practice The United States Federal Trade Commission's Fair Information Practice Principles (FIPPs) are guidelines that represent widely accepted concepts concerning fair information practice in an electronic marketplace.[1] Introduction[edit] FTC Fair Information Practice Principles are the result of the Commission's inquiry into the manner in which online entities collect and use personal information and safeguards to assure that practice is fair and provides adequate information privacy protection. The FTC has been studying online privacy issues since 1995, and in its 1998 report,[2] the Commission described the widely accepted Fair Information Practice Principles of Notice, Choice, Access, and Security.[1] The Commission also identified Enforcement, the use of a reliable mechanism to provide sanctions for noncompliance as a critical component of any governmental or self-regulatory program to protect online privacy.[1]

Data hand tools The flowering of data science has both driven, and been driven by, an explosion of powerful tools. R provides a great platform for doing statistical analysis, Hadoop provides a framework for orchestrating large clusters to solve problems in parallel, and many NoSQL databases exist for storing huge amounts of unstructured data. The heavy machinery for serious number crunching includes perennials such as Mathematica, Matlab, and Octave, most of which have been extended for use with large clusters and other big iron. Information: Strata Online Conference April 2011 - O'Reilly Conferences, April 06 Why an online conference? The O'Reilly Strata Online Conference provides an ongoing forum for exploring the latest issues, without the expense or inconvenience of travel. It's our way of bringing Strata to your desktop and keeping the conversation alive throughout the year. How does it work? In an online conference, participants log on and attend sessions, enter into discussions with other participants and presenters using the live text chat, and are able to pose questions and interact with people from all over the world. It has a similar structure to a physical conference, except that you hear the speakers discuss topics and watch their slide presentations via your computer from the convenience of your office or home.

Sunlight Labs: Blog - The Coming Government Data Flood Government is releasing data at a breakneck pace, and it is just getting started. One interesting side effect of our National Data Catalog is that we're regularly parsing all of the data on data.gov, and we're able to do interesting things with the aggregate metadata. By parsing out the release date for each dataset on data.gov, and grouping each release by quarter though it's easy to see that since the second quarter of 2009-- when Data.gov was released, the federal government has released more raw datasets than it ever has in the past. Take a look at what's happened after Data.gov launched: Now, granted, like all government data-- it's a little messy.

The convergence of Google, government and privacy Google recently added a new Privacy Tools page. If you follow tech policy in Washington, you couldn’t miss hearing about it, given that advertising for Google privacy tools was on relevant blogs, email newsletters and periodicals. And if you work, play, shop or communicate online, the issue of online privacy is more relevant to you than perhaps it ever has been before. Companies and governments are gathering unprecedented amounts of data about every click, link, and status update you make. Who Will Own Local Data? Search Engines, Yellow Pages, Aggegators Or Social Media? Increased demand for local data, and with technologists who recognize a need for an authoritative local information database, suggest that we’ll soon see a landgrab for ownership of local data. A Techcrunch article in April articulated the Zeitgeist surrounding a local “database of places”, exciting a lot of talk around the subject. As many players are moving to generate central databases of places, who stands to dominate: Search engines, yellow pages, aggregators, social media, or some other player? Let’s be clear as we discuss this: I’m primarily exploring this from the angle of business listing data, which is admittedly a subset of all location information (which could include all geocoordinates, residential addresses, neighborhoods, locations of landmarks and more).

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