Enhance Your Analytics Solutions and Big Data Operations with Computacenter

By: Computacenter
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Big Data
Data Management
Analytics Strategies


May 10, 2016 - PRLog -- Businesses and enterprises desiring to optimise their data management and analytics strategies need to select solution providers with the utmost care. Trends in IT usage point towards large scale movement and storage of data that needs to be secure and easily accessed by your staff. To manage this effectively you need to consult with experts.

Large organisations need to fundamentally rethink how they acquire, organise, store and access data from a myriad of operations, and a robust hybrid cloud solution is necessary, providing speedy retrieval, real time analytics and security for the peace of mind of your customers. We recommend you read this downloadable fact sheet that elaborates why.

Computacenter, authors of the guide, is led by a team of three consummate IT service and business intelligence experts.  With unrivalled experience and up-to-date knowledge of cutting edge hard or software to tackle the scale of the need, they deliver a custom designed system to fulfil each individual company's operational needs.

No two clients have the same needs when transforming their enterprise IT systems for 21st century users. Designing a virtualised datacenter stack so that a whole IT section and its cloud service operate as a cohesive single bloc is no mean feat.  It is a challenge that Computacenter excels in. The team will analyse your big data set up and then establish streamlined operational data access and analytics strategies.

Mark Slaven, Group CIO of Computacenter explains: "An organisation's data analysts and architects want unrestricted access to all the real-time data generated across the enterprise. They'll use it to identify trends and make predictions, which offers a sound business case for giving them this access. On the other hand, the teams running the production systems processing day-to-day operations are adamant that no such access should be given. They know the systems and infrastructure weren't designed with significant real-time data volumes in mind. This makes an equally sound case for restricting access to all data."

The team has identified a four step process to ensure that the latest analytics tools can be supported by robust systems capable of crunching large amounts of data being generated daily, though transactions, CRM, logistics and so on.

They are: 1) understanding your data sources, 2) ingesting the data in a usable fashion, 3) identifying the platform on which your data can be optimised, 4) start the journey from data to valued information.

CIOs need to act sooner rather than later because data trafficking is on the rise and is expected to spiral to up to TB180 million just on mobile devices over the next year to 18 months. All devices, apps, data visualisation analytics, amassing and disbursement of information are best operated from a super-efficient IT core.

The solutions suggested includes a Computacenter partnership and a big data set up that will satisfy all users. The future of your information-driven operations, innovation and data compliance is at stake and you can prepare for a successful transition by downloading the full pdf guide Digital Gateway: Information, Big Data and Analytics at http://www.computacenter.com/uk/it-agenda/it-on-demand/in...

Octopus Group
Tags:Big Data, Data Management, Analytics Strategies
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