This chapter focuses on testing of data. Testing of data involves checking data that the team receives to detect defects. These defects can arise at data extraction, data receipt, and at data load into the team’s Data Manipulation Environment (DME).
You will learn about the five ways in which data can be tested in Guerrilla Analytics. These are (1) completeness, (2) correctness, (3) consistency, (4) coherence, and (5) accountability. This chapter will also describe some tips for successful data testing including scopes of tests, storage of test results, common test routines, and automation of testing.