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.

You are required to

01. Explain the concepts 'Data Mining' and 'Data Visualization' and for each concept relate them to 1 real world examples

Marks will be allocated as follows

Explaining Data mining

One Related Example

Explaining Data Visualization

One Related Example

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

Marks will be allocated as follows

Explaining 4 sources of data

Explaining 4 kinds of dada to be collected

How data can be used to gain strategic advantage

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

Marks will be allocated for each example