kelbix

Big Data

Big data has the potential to empower you to make better business decisions, in real time. By unlocking your organisation’s data, you can fundamentally change the way it operates and steer the transformative, digital journey your stakeholders expect.

CIOs are under increasing pressure to provide the necessary tools and processes to enable a big data strategy for their businesses, which will allow for the capture of new insights and market opportunities. They need to hone their ability to exploit data and find ways to turn it into business value.

Of course, this is often easier said than done, and to some it may seem like an insurmountable task. The volume of information that the typical organisation deals with has grown exponentially over the last decade. You may wonder: Is it possible to have so much unstructured data? Is the cloud really capable of controlling and scaling to accommodate these volumes? How do we create policies that’ll enable us to make intelligent use of our data?

Big data also brings a new breed of security concerns. Its precisely the unstructured nature of big data that makes it more vulnerable to security breaches than the corporate information generated by your usual applications.

WHAT WE OFFER

Kelbix believes that making the most of your data requires more than just collecting, storing, and processing information. Its also about bringing cloud, networks, and security together to create a hybrid IT environment.
The good news, however, is that you don’t necessarily need large investments in infrastructure and resources to start.
We can help you accelerate you big data ambitions in the following areas:

Its important to define an underlying information policy before you implement new big data infrastructure or processes. We help you decide which types of information you need to keep and for how long, where the information should be stored, and how you’ll access the information.

This will help guide further activities such as network infrastructure optimisation, leveraging both traditional and new data-mining toolsets, or making structural and process improvements to streamline the way decisions are made.

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