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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Through a technology partnership with Microsoft, New York City expects to save $50 million over five years. The contract, which covers Manhattan's approximately 100,000 employees, encompasses both desktop software and hosted services, and replaces the city's use of 40 previous licenses for Microsoft solutions. Under the new deal, Manhattan's Department of Information Technology and Telecommunications (DoITT) will oversee cloud services to about 30,000 city employees. The DoITT will create three types of user: those who need occasional access -- regular users, and power users. New York City Mayor Michael Bloomberg and Microsoft CEO Steve Ballmer signed the deal, which was not open to bid because it was a revision of an existing contract, according to reports.
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?