Technology

How To Perform BI Testing: 4 Steps To Consider

Business intelligence is the collection, analysis, and transformation of raw data into precise, efficient, and useful information that you can utilize to make informed corporate choices and develop business strategies. BI provides businesses with a feeling of foresight. BI testing initiatives assist firms to obtain richer and greater information so that they can supervise and make choices based on accurate credible data. There is no single tool or system that can achieve BI. The complete implementation consists of a set of programs, techniques, and components. 

The Sequence of BI Testing

Everything has an order that you need to follow to make the best out of it. So does the business intelligence testing. Let us look at the sequence in which QA experts should perform BI testing in order to get the maximum results:-

  1. Examine the Source Information

Business data rarely comes from a single source or in a single format. Check to see whether the source and data type it transmits are the same. Also, perform some basic validation right now. 

Assume that information on a student gets supplied from a source for processing and storage. At this step, double-check that the parameters are correct. If your GPA is a 7, you’ve certainly outperformed the 5 point method. As a result, such data may get destroyed or updated without having to send it to a third party for further processing.

2. Make Sure the Data Gets Transformed

This is the stage at which the transformation of raw data into information is useful to businesses. The data types of the source and destination should be the same. For example, you cannot store the date as text. 

The primary key, foreign key, null, default value constraints, and other constraints should all be present. The source and destination’s ACID characteristics should be checked, and so forth.

3. Double-check the Loading of Data

The scripts that load and test the data would undoubtedly be used in ETL testing. However, the checking of data storage system is necessary for the following reasons:-

  • Performance 

As systems get more complex, relationships arise between several constituents, resulting in multiple correlations. This is excellent news for data analytics; but, searches with this level of complexity sometimes take too long to get results. As a result, performance testing is crucial in this situation.

  • Scalability

Data will only grow, not shrink, in terms of scalability. As a result, the QA team needs to carry out the tests to determine whether the present implementation can handle the scale of the increasing business and data quantities. Testing the archiving approach is also part of this process. In essence, you’re attempting to validate the decision: “What happens to older data, and what if I require it?”

Other features such as computing skills, failure recovery, error reporting, exception handling, and so on should also be tested.

4. BI Report Validation

Finally, there are the reports, which are the final layer of the process. This is referred to as Business Intelligence. However, if your previous layers are broken, the reports will never be accurate, consistent, or speedy.

Look for the following at this point:-

  • The reports that got created and how they may get used in the company
  • The ability to modify and adjust the parameters that appear in reports. Sorting, classifying, grouping, and other similar operations
  • The report’s overall look. To put it another way, readability.
  • If the BI components get BI integrated, an end-to-end test must contain the application’s relevant capabilities.

Strategy for BI Testing  

Let’s look at the procedure that the testers must take because now we understood what to check and what resources to employ during ETL and Data Warehouse testing. A business intelligence testing project is, after all, a testing project. That implies the standard steps of testing apply here as well, whether you’re evaluating performance or functional end-to-end testing:

  • Planning a test
  • Methodology for testing
  • Test design (Instead of simple text, your test cases would be query-heavy.) This is the SINGLE most significant distinction between traditional test projects and ETL/Data Warehouse/BI testing initiatives.)
  • Execution of the test 
  • Defect reporting and resolution

Conclusion

Business intelligence is a critical component of all business operations. E-commerce, health care, education, entertainment, and every other industry rely on BI to gain a deeper understanding of their business and create a superior customer experience. Therefore, it is necessary to perform BI testing for your software business. And to get maximum results from BI testing, you should take the help of a professional software QA and testing company like QASource.

Visit QASource now to implement premium BI testing services for your software business. 

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