The role. As an information analyst working in the NHS, you'll examine complex data and create models. You'll also identify trends and present results to stakeholders and colleagues using data visualisation techniques.  Today, you're researching patient waiting times, gathering facts and statistics from staff reports and computer records. You use a statistical computer program to read the data, so you can easily see patterns and possible data-collection errors. Then you write up patient-waiting-time trends in a report, and check your hospital meets national healthcare standards. You discover patients are waiting much longer for some treatments than others, and email senior members of staff to make them aware of this trend. You enjoy using your skills to make sure healthcare standards are met, and like working regular 9-5 hours.

 

Data Cleansing - Data cleansing or data cleaning is the process of detecting and correcting corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

 

Data Quality - Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".