Techies Demand More Money

Employers may need to loosen their purse strings to retain their IT staffers in 2014, according to a salary survey from IT career websiteDice.com.

Among the tech workers who anticipate changing employers in 2014, 68 percent listed more compensation as their reason for leaving. Other factors include improved working conditions (48 percent), more responsibility (35 percent) and the possibility of losing their job (20 percent). The poll, conducted online between Oct. 14 and Nov. 29 last year, surveyed 17,236 tech professionals.

Fifty-four percent of the workers polled weren’t content with their compensation. This figure is down from 2012′s survey, when 57 percent of respondents were displeased with their pay.

The decrease in salary satisfaction could mean companies will face IT staff retention challenges this year, since 65 percent of respondents said they’re confident they can find a new, better position in 2014.

This dissatisfaction over pay comes even though the survey, released Wednesday, showed that the average tech salary rose 2.6 percent in 2013 to US$87,811 and that more companies gave merit raises. The main reason for last year’s bump in pay, according to 45 percent of respondents, was a merit raise. In comparison, the average tech salary was $85,619 in 2012 and 40 percent of those polled said they received a merit raise.

Meanwhile, 26 percent of respondents attributed their 2013 salary increase to taking a higher-paying job at another company.

Employers realize tech talent is coveted and are attempting to keep workers satisfied by offering them a variety of incentives, the survey found. In 2013, 66 percent of employers provided incentives to retain workers. The two most popular incentives were increased compensation and more interesting work. Incentives that allow employees to better balance their work and personal lives were also offered, such as telecommuting and a flexible work schedule.

Skills that commanded six-figure jobs in 2013 came from some of the hottest areas of IT. Data science led the way with big data backgrounds yielding some of the highest salaries. People skilled in Knowing R, the popular statistical computing language, can expect to make $115,531 on average, while those with NoSQL database development skills command an average salary of $114,796. IT pros skilled in MapReduce to process large data sets make $114,396 on average.

Source

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.

Source