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Big data analytics applications enable users to develop predictive models, by analyzing large volumes of structured and unstructured data. On a broad scale, data analytics

Big data analytics applications enable users to develop predictive models, by analyzing large volumes of structured and unstructured data.

On a broad scale, data analytics technologies and techniques provide a means of analyzing data sets and drawing conclusions about them to make informed intelligent decisions.

While business intelligence (BI) queries answer basic questions about business operations and performance. Big data analytics involves complex applications with elements with accurate predictive models, statistical algorithms, and what-if analyses powered by high-performance analytics systems.

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01. Explain the concepts ‘Data Mining’ and ‘Data Visualization’ and for each concept relate them to 1 real-world example.

02. Explain how Big Data can add competitive advantage to a global FMCG organization.

03. Explain, using at least 04 examples, how Big Data can be used in “effective town planning” projects by Local Governments.

 

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