Data Quality Analyzer
Data Quality Analyzer Engine Development
As businesses look to adopt the new wave of the coming technologies like automation, machine learning, artificial intelligence and internet of things- the success in doing so and their ability to differentiate themselves in those spaces depends upon the ability to get data quality right.
Quality data is the key to making accurate, informed decision making and while all data has some level of quality, a variety of characteristics and factors determines the degree of data quality.
By tracking data quality, any business can pinpoint potential issues harming quality, and ensure that data is fit to be used for analytics and data science purposes.
Scope:
The scope of the project is to create a web application whereby users can upload data and without much difficulty process the data and understand the data quality by various factors like completeness, missing values, zero values , data distribution, correlation, data frequency tables etc. Basis the analysis, the data corrector module will also help to correct the data like dropping data, convert data columns, enriching dataset etc. to improve the dataset. Report Summary module will summarize the data quality after and before the data transformation.
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