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October 21, 2010

IT managers apathetic to business data requests: Survey

Lack of resource and increasing distractions cited as reasons

By CBR Staff Writer

IT managers are apathetic to the needs of the business when dealing with requests for data, an independent study commissioned by Informatica revealed.

The study carried out by independent research firm Dynamic Markets, surveyed 300 sales and marketing managers and 301 IT professionals across the UK, France and Germany

Informatica said that almost two thirds of IT managers questioned have admitted to a deficit in the way in which their department is delivering business critical information to employees.

According to the research, the average IT department takes around four and a half days to deliver information requested by employees.

60% of IT managers claimed that a lack of IT resource impacts on their ability to deliver data efficiently and in line with the requests they receive from employees within their organisation.

Despite this, more than half (57%) recognise the need for data to be managed more efficiently, in order to help the business balance the need for efficiency and revenue growth.

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Informatica EMEA vice president of technology Mark Seager said the findings of this research shine a spotlight on the mammoth challenge faced by IT departments to manage the huge volumes of critical data hosted within a business organisation.

"Most significantly, it also highlights the direct impact that this challenge can have on both productivity and potential revenue, if an effective solution is not found," Seager said.

According to the survey, one in four IT managers quizzed said they prioritise other IT tasks ahead of providing information to those employees who require it, when asked why it takes longer for them to deliver timely data.

44% cited infrastructure complexity as one of the main causes for delay, whilst over a third (43%) cited the incompatibility of various databases within the organisations’ network as an obstacle to enabling them to deliver accurate, timely data.

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