This image gallery offers best-practice examples, advice, free resources and insight from experts on the best of data and information visualization.
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Data Visualization Advice, Examples and Free Resources "Excellence in statistical graphics consists of complex ideas communicated with clarity, precision and efficiency," writes information visualization guru and author Edward R. Tufte. Expert Stephen Few preaches simplicity, decrying distorted 3D pie charts and graphics that are too hard to read. This image gallery offers best-practice examples, advice, free resources and insight from experts on the best of data and information visualization. Visitors to NYTimes.com will find a treasure trove of superlative infographics, many of which tell a story through interaction with the data. Gapminder compares and contrasts the health and wealth of nations over time with time-series analyses. Zillow mashes up real estate data with maps to deliver insights into personal wealth and potential opportunities. IBM's Many Eyes Alphaworks project brings visibility to important social issues and to whatever data sets you care to upload. We also point you to industry experts and downloadable and Web-accessible resources that will help you hone your data visualization skills.
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?