BI Testing, Report Testing & Dashboard Testing with iCEDQ

Ensure data completeness, accuracy, and consistency throughout the life cycle

Need of BI Testing

  • BI Testing is defined as the process of validating the BI Report. The basis of BI Testing is reconciling the BI Reports against its metadata, validating the BI Report’s data layer /metadata against its Data Warehouse and testing the Data Warehouse against the BI source data. 
  • The purpose of BI Testing is to present the analytical data to the Data Analyst, the Business Users, the Operational AnalystThese business users examine, analyze this data and accordingly take appropriate and effective business decisions. These decisions form the basis for the company’s growth and success. 
  • For the success of businesses, it becomes very important to be one-hundred percent sure that these BI Reports are accurate and reliable.BI Testing certifying your BI Report’s accuracy, uplifts the reliability of BI System and boosts the creditability of business users. 

How to Automate BI Testing

  • To automate BI Report Testing, the user needs to write business rules to reconciland validate the BI Report against the breadth of the data pipeline and locate the issues if any. 
  • The automation process can be broadly divided into two categories as a BI Dashboard/ BI Report Testing and Data Layer Testing
  • The need for BI Report Testing not only lies in empowering your business intelligence system but also your business.  

How can one implement the DevOps in an organization without automated BI Testing?

  • To certify the quality of the BI Reports and automate BI testing process, iCEDQ provides reconciliation and validation object that can be customized as per your business rules. For example, the yearly sales revenue stored in the data warehouse can be reconciled with the BI report generated for it. 
  • iCEDQ is equipped ttest the BI Report metadata against its equivalent database. For example, sales revenue columnyear or quarter, all these dimensions and measures can be reconciled with the source data.

Now Automate Testing for Business Objects (BOXE), Tableau, MicroStrategy and IBM Cognos. With iCEDQ, you can certify the reports by validating reports against business requirements or by comparing reports against database or data files.

Dashboards and reports are essential for running business. Thousands of reports are either generated daily and used for business decisions. While reports represent data, they are more like a visual component in applications. The look and feel can be visually checked but the data shown by the report is notoriously difficult to test manually. Further:

  • Reports visual can have graphs or tabular
  • Visual aspects can be changed at runtime
  • Reports can have runtime prompts

BI Testing Reports and Dashboards - iCEDQ
However, reports get their data from files or database. And reports get their data through pseudo ETL. So, if by certain means if data can be extracted from the reports then it will be theoretically tested against the database or validated against a business rule.
Reports from files or database

The Manual Approach:

  1. Validate the report manually by looking at the report and doing some calculation in a calculator. It is difficult because the data may be rolled-up from millions of rows.
  2. Reconcile the data by visually comparing the data in the report and then manually checking in the database. The difficulty level just multiplied by 100x now.

The Manual Approach of BI Testing

iCEDQ’s Automated Testing of Reports:

  1. Build a Validation Rule in iCEDQ and point an individual report or a specific report in a dashboard.
  2. Build a Reconciliation Rule in iCEDQ that points to a report or to a database/file. iCEDQ can then automatically compare the data and certify the report.

Thus, iCEDQ not only automates report testing but also enables full automation and DevOps Implementation.

iCEDQ Reports Testing & DevOps Implementation
Automate the last leg of data projects with report test automation. While database provides direct access to their data, reporting tools do not. The BI tools were primarily designed to just provide visualization. In fact, a report might be inside a dashboard and have additional filters. This makes testing reports notoriously difficult to test.

Challenges

Benefits

  • Implementing DevOps for BI
  • Automating report testing
  • Testing reports with different visualizations
  • Dealing with the volume of reports
  • Report Prompts
  • iCEDQ integrates Report testing with DevOps solution
  • iCEDQ directly accesses the report API
  • iCEDQ bypasses the visual format and gets underlying data
  • With Automation, the quantity of reports doesn’t matter
  • iCEDQ can automate the report prompts with parametrization

Use Cases