Financial industry consumer complaints analysis.

Project work: Data Collection – Source dataset will be collected from publicly available data on [login to view URL] etc. 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?