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Big Data Analytics

Big data is made up of  many old and new technologies, assisting businesses and organisations gain actionable insight. This means big data is the ability to handle large volumes of disparate data, at speed, and in a timely manner, providing real-time analysis and response. Often big data is split into three categories by their characteristics.

  • Volume: Quantity of data
  • Velocity : The speed in which data is processed
  • Variety: the variances in data

The benefits of managing and analysing data have always been known. However, maximising the information gained from data has proven to be the biggest challenge for many organisations of varying sizes, in all industries discussed by McAfee and Brynjolfsson (2012). This is because data can be structured and unstructured. Structured data is stored in traditional relational databases whereas other data which can be harder to analyse, such as documents, pictures and videos that are unstructured explained by Claraview Inc (2010). 

Whether your data is unorganised or organised, we ensure the data is processed appropriately so that you can get the insights you require to maximize your data’s potential and therefore achieve optimal function and service within your businesses and organisations.

LOWE, D., 2017. Java All-In-One for Dummies. 5th ed. John Wiley & Sons, Inc.

NUGENT, A. and HURWITZ, J., 2013. Big Data for Dummies. Hoboken, N.J.: John Wiley and Sons.

MCAFEE, A. and BRYNJOLFSSON, E., 2012. Big Data: The Management Revolution. Harvard Business Review [online]. pp. 4-9. [Accessed 17 March 2020].

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