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Venture Capaitalist Going Internet Again
January 30, 2014 by admin
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Venture capitalists invested more money into Internet companies last year than they have since the dot-com bust, according to a survey published last Friday.
Internet companies in the U.S. took in $7.1 billion from VCs in 1,059 deals in 2013, the highest level of Internet investment in terms of dollars and deals since 2001, according to The MoneyTree Report by PricewaterhouseCoopers and the National Venture Capital Association, based on data from Thomson Reuters. In comparison, VC investment in Internet companies totaled $6.7 billion in 995 deals in 2012, another strong year, according to the MoneyTree report.
In addition, VCs invested $110 billion in 1,523 software industry deals last year, the highest level in both dollars and number of deals for the sector since 2000, according to the MoneyTree report. VC dollars going into software rose 27 percent year over year, while the number of deals increased 10 percent.
The amount of money invested in the software industry accounted for 37 percent of total VC investments in 2013, the highest percentage since the MoneyTree report was initiated in 1995.
All this is taking place against a backdrop of a generally strong VC environment, as VCs invested $29.4 billion in 3,995 deals across all sectors in 2013, a year-over-year increase of 7 percent in dollars and 4 percent in deals, according to the report.
Companies involved in big data, mobile apps, security, digital marketing, and medical and health software are among those that are especially interesting to VCs, according to Mark McCaffrey, PwC’s U.S. and global software leader.
Top deals in the fourth quarter of 2013 included a $225,000 investment in Pinterest, a site for sharing photos, recipes and other items of personal interest, and a $177,514 investment in Palantir Technologies, a government contractor in the systems integration business, according to MoneyTree data.
Going into 2014 a sense of optimism prevails, but this does not mean that the tech industry is going through a bubble of the sort that arose in 1999 and 2000, McCaffrey said.
HP Aims To Boot ‘Useless’ Data
Hewlett-Packard wants to help organizations rid themselves of useless data, all the information that is no longer necessary, yet still occupies expensive space on storage servers.
The company’s Autonomy unit has released a new module, called Autonomy Legacy Data Cleanup, that can delete data automatically based on the material’s age and other factors, according to Joe Garber, who is the Autonomy vice president of information governance.
Hewlett-Packard announced the new software, along with a number of other updates and new services, at its HP Discover conference, being held this week in Las Vegas.
For this year’s conference, HP will focus on “products, strategies and solutions that allow our customers to take command of their data that has value, and monetize that information,” said Saar Gillai, HP’s senior vice president and general manager for the converged cloud.
The company is pitching Autonomy Legacy Data Cleanup for eliminating no-longer-relevant data in old SharePoint sites and in e-mail repositories. The software requires the new version of Autonomy’s policy engine, ControlPoint 4.0.
HP Autonomy Legacy Data Cleanup evaluates whether to delete a file based on several factors, Garber said. One factor is the age of the material. If an organization has an information governance policy of only keeping data for seven years, for example, the software will delete any data older than seven years. It will root out and delete duplicate data. Some data is not worth saving, such as system files. Those can be deleted as well. It can also consider how much the data is being accessed by employees: Less consulted data is more suitable for deletion.
Administrators can set other controls as well. If used in conjunction with the indexing and categorization capabilities in Autonomy’s Idol data analysis platform, the new software can eliminate clusters of data on a specific topic. “You apply policies to broad swaths of data based on some conceptual analysis you are able to do on the back end,” Garber said.