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– Some challenges to make current data-driven (‘statistical’) models even more relevant to public health
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(PRWEB) March 07, 2012

IT overheads, especially for large enterprises, have seen significant growth over the past few years. The cost of managing Big Data, the proliferation of mobile technologies and Bring Your Own Device and the increase in Cyber Security threats in the corporate space have made the role of the CIO vastly more complex.

IT departments have also suffered larger bandwidth and storage costs, and with the requirement to keep up with new Operating Systems and ensure interoperability, large-scale PC refreshes and other resource intensive projects can be a necessity.

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TCTA is the Trans-Caledon Tunnel Authority – a South African state-owned entity that works to finance and implement bulk raw water infrastructure in the Southern African region. They had a data management nightmare on their hands – Our user data increased by 1200 percent over the space of three years, says Nikesh Maharaj, Network and Infrastructure Specialist .

In order to successfully manage such a dramatic increase in data (and the additional future increases expected), TCTA needed to find a solution that would allow central management of user data, whilst optimizing use of its limited bandwidth and storage infrastructure. Ultimately, they had to control and reduce IT support costs, whilst finding a solution that offers operational efficiencies and assists in protecting their business critical data.

The problem experienced at TCTA is certainly not unique, The 2011 Data Loss Survey illustrates how IT managers and CIOs are finding it increasingly difficult to manage and protect user data. In 2011, over 50% of companies lost data.

At TCTA, their script-based backup policy was a significant factor in their inability to effectively manage data. It proved to be a complicated, labour intensive method of managing user data. Maharaj stated.

By introducing Cibecs, a data backup and recovery solution built for enterprise environments, TCTA was able to cut data recovery time by several hours per incident often representing a real time and support cost saving of between 500 and 1000%.

Its not just the post-installation cost saving that impressed us, says Maharaj. The actual roll-out was quick and simple with guidance provided by Cibecs on-site IT support. Nikesh further states that users have largely been oblivious to the Cibecs agent running on their PCs.

Maharaj offered insight into some of the features he says have made the biggest impact, and that he believes companies suffering from Big Data challenges should invest in.