In the world of software development and maintenance, quality assurance testing is a standard practice. However, organizations have to deal with the abundance of reports and dashboards for smarter decision-making. So to perform QA testing properly, companies should have the right business intelligence.
We are now living in a world that’s driven by data, where huge amounts of information are being gathered and stored daily. The more data that an organization generates, the more crucial it is to have the ability to access and analyze it effectively.
Unfortunately, data analysis is considered to be a weak link for many companies today. This is primarily because of selecting the wrong type of data storage systems while performing ineffective analytics.
One way to improve analytics is by acquiring an enterprise-grade data warehouse. This is where OLAP in a data warehouse comes in.
This is the third blog in the four part series dealing with Business Intelligence Testing.
Before we begin talking about what ETL testing is, let’s recap the concepts of business intelligence and data warehouse testing (DW test).
Business intelligence is a process wherein business data is collected and turned into useful information for an organization. This data consists of records of a company’s daily transactions, such as its customer interactions, employee management, and finance administration.
Data is perhaps the best resource that has guided business decisions ever since commerce was invented. Today, we now have capabilities that allow us to store, analyze, and derive actionable insights from business information. It has allowed companies to adapt their business plans to meet changing consumer needs and even predict future trends.