Consumer complaints analysis using BIG DATA Concepts.

Data Collection – Source dataset will be collected from publicly available data on [url removed, login to view] etc(ready in hand)

Data Cleansing – Openrefine opensource data cleansing tool will be used to clean and filter the messy semi structured data sets in to clean usable data sets.

Data Loading – Data will be loaded to Hive tables on Big Data platform.

Data Analytics/Data Mining – Data will be analyzed and mined to get insights.

Data Visualization – Final graphical output in an easy way to understand the complex data insights will be presented using data visualization tool...

Use cases:

Present consumer complaints by year with in a financial institution?

What is the response time for each financial institution?

Which financial products has more complaints with in a financial institution?

Forecasting complaints trend within a financial institution?

Skills: Big Data Sales, Python

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Project ID: #15170806

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