Wednesday, September 26, 2012

InformationWeek: Tibco Spotfire Revamp Supports Big Data Analytics

Tibco Spotfire, already popular for finding the proverbial needle in the haystack, now works smarter with the biggest haystacks.
Big Data Talent War: 10 Analytics Job Trends
Big Data Talent War: 10 Analytics Job Trends
(click image for larger view and for slideshow)
Tibco Spotfire handles data visualization, analytic dashboards and applications, and forward-looking predictive analysis. Spotfire 5.0, a significant upgrade announced on Tuesday, is designed to do all of the above at big-data scale.

Tibco Spotfire is already a popular product for finding the proverbial needles in the haystack, but customers are telling Tibco that the haystacks are getting bigger. Oil and gas operations, for example, are gathering more information from well sensors. Manufacturers are grabbing more production data off of shop floors. And marketers are gathering more customer analysis and segmentation information through click streams and social networks. As the data stacks up, the nature of the analysis changes, according to Steve Farr, a Tibco Spotfire senior product marketing manager.

"It's tempting to think you can identify the important trends in a small subset of the data, but big data analytics is about considering all of the data so you also see the exceptions and outliers," Farr told InformationWeek. "It's in the outliers that you find fraud, risk, and the things that are growing wrong." You can also find latent patterns in that bigger picture that reveal opportunities.

Links and Widgets: the Fabric of the Web


By Xavier Badosa on Sep 25, 2012
Opening contribution to the Task force for the strategic project on the development and use of common ESS tools and services for dissemination. Eurostat, Luxembourg, 20 September 2012


Tuesday, September 25, 2012

Standards for statistical data dissemination: a wish list (2)

Published on Sep 18, 2012 by Xavier Badosa

In March 2012, I was invited to talk at the OECD Statistical Information System Collaboration Community (SIS-CC) Workshop in Paris. This presentation was included in the session: "Data Machine-Readability in support of open data strategies".

See the accompanying slides at:
http://www.slideshare.net/badosa/standards-for-statistical-data-dissemination-a-wish-list-12025046

Saturday, September 22, 2012

NComVA selected by QlikView for integrating advanced interactive visualization

From: http://www.ncomva.se/newsletter/NComVA%20Nyhetsbrev%203%202012%20Sep%20English.pdf

The US business analytics company QlikView (former Swedish company) has selected NComVA as a strategic technology partner for professional interactive data visualization with integrated storytelling. The first integrated product QlikXplorer has been announced on the QlikMarket. NComVA provides QlikView users with advanced interactive statistical and business multivariate visualization as “extensions” seamless integrated  into QlikView using our latest HTML5/JS visualization components.

The combination of QlikView innovative business intelligence and NComVA world-leading interactive data visualization will provide the foundation for a strong partnership for the emerging visual business analytics market. Read also in this blog post which highlights the importance of storytelling and the status it has in NComVA products.

QlikView: http://www.qlikview.com

QlikMarket, NComVA extension: http://market.qlikview.com/ncomva-qlikxplorer-extension.html

Saturday, September 15, 2012

BIG Data and OFFICIAL Statistics

From: http://apdu.org/wp-content/uploads/2012/06/Horrigan_-_BIG_Data_and_OFFICIAL_Statistics.pdf

Statistics. ▫ What are big data? ▫ How big data are already being used. ▫ The future of using big data by statistical agencies ... Big Data and Official Statistics. 3 ...


Sunday, September 9, 2012

New York Times: Data-Driven Discovery Is Tech's New Wave - Unboxed

NYT: Data-Driven Discovery Is Tech'


John Hersey
By STEVE LOHR
Published: September 09, 2012
TECHNOLOGY tends to cascade into the marketplace in waves. Think of personal computers in the 1980s, the Internet in the 1990s and smartphones in the last five years.
Computing may be on the cusp of another such wave. This one, many researchers and entrepreneurs say, will be based on smarter machines and software that will automate more tasks and help people make better decisions in business, science and government. And the technological building blocks, both hardware and software, are falling into place, stirring optimism.