In 2010, the government turned to technology as a way to cut costs and improve efficiencies, an approach that worked in some cases but backfired in others. Like their associates in the public sector, government executives and IT professionals saw some big wins -- and headaches -- over the past 12 months. In some cases, cities or agencies were able to save money and boost productivity by adopting technologies such as cloud computing, by centralizing contracts, and reducing energy consumption thro
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Virginia suffered some data loss after a weeklong data outage reportedly triggered by a memory card failure at an EMC DMX-3 storage area network within the Virginia Information Technologies Agency's (VITAS) Richmond computing center. Northrop Grumman, which inked a $2.3 billion contract to partner with VITAS to maintain the state's networks, fixed the problem and formally apologized. "Our efforts to examine the factors that contributed to the initial problem and the lengthy restoration of service is just beginning," said Linda Mills, corporate vice president and president, Northrop Grumman Information Systems, in a statement. Although Northrop Grumman fixed the problem, some agencies -- such as the Department of Motor Vehicles -- reported it could not process driver licenses days after the outage, reports said.
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?