Overview of IBM Data Refinery

Data cleansing is a software feature that is essential for maintaining the accuracy and integrity of data. It involves the process of detecting and correcting any corrupt, inaccurate, or incomplete data within a database. This feature is vital for organizations that heavily rely on data for their decision-making processes. Data cleansing works by identifying and removing duplicate or irrelevant data, standardizing data formats, correcting misspelled words or inconsistent data, and filling in any missing information. This process ensures that the data is accurate and up-to

Cleaning, converting, and modeling data to discover relevant information for business decision-making is what data analysis is all about. Data analysis is the process of extracting usable information from data and making decisions based on that knowledge. When we decide our daily lives, we think about what happened the last time or if we make that particular option. This is nothing more than looking backward or forwards in time and making conclusions based on that information. We do so through recalling past events or dreaming about the future. So, data analysis is all there is to it. Data analysis is the name given to the same thing that an analyst conducts for business purposes.