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Big Data calls the shots on the sports field
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Big Data can be defined as " When very large sets of data containing interactions and behaviour of humans are analysed by a computer software program with the purpose to identify any trend or pattern in the interactions and behaviour". It was inevitable that sports teams would turn to Big Data systems as an aid to improve their performance when playing against each other. With the competition to be the best intensifying and the need for data about players and their performance greater than ever before, it wasn't long before software developers came up with programs to analyse...

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Risks Posed By Dark Data
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Structured and well-indexed data can be easy to manage. However, sensitive or confidential unstructured data and information presents real challenges to data officers. Dark data can be described as data that is kept just in case but doesn't have any proper usage at the moment. It acquired its name from its similarity to dark matter which is the mysterious non-luminous material that is believed to exist in space.

Just like dark matter, the dark data is mostly left unclassified and unnoticed but keeps on multiplying. It is common for businesses to hold onto the large chunk of data that...

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How to Successfully Implement Predictive Analytics in a Business
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Most businesses and organisations today use predictive analytics to predetermine the future success in their respective industries. By using analysed data of past trends, it is possible to make future decisions that are geared to improving the success of an organisation. That is what is referred to as predictive analytics. 

In a business, predictive analytics is used mainly to study the behaviour of customers, like what they purchase the most and at what time of the year, do they like deliveries or not. Once you analyse the behaviour of your customers, you will be able to give...

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