In the previous chapter we looked at the best practices for development, visualization, dashboard designing. The development stage is an intense stage in any business intelligence project and following best practices helps to keep the Qlik Sense application robust. In this chapter we are going to learn the importance of the validation. Along with that we will learn how to validate entire Qlik Sense application and make it ready for UAT (User Acceptance Testing). We will understand aspects of UAT and important points considered for conducting the UAT. Post this we will learn about the Go-Live strategy.

In todays world, the growth of the companies is mainly depended on the how good they can analyze the various datasets available with them like customer data, vendor data, social media data, human resources and many more. Almost all business decisions are made based on these data available with the company. In other words, you can say that the data drives the business and its decisions. So the management and sanctity of the data becomes very important and critical for business.

According to IBM poor data cost US around $3.1 trillion per year. This statistic is only for US, the figure for the entire world will be much more. This cost not only includes the maintenance of data but also includes the lost opportunities of companies due to poor data quality.

Garner has also conducted a survey in year 2011, which states that 40 percent of the company’s new initiatives do not succeed due to the poor data quality. This indicates how important it is to have a clean and meaningful data.

In this chapter we will be covering the following topics:

• Introduction and Importance of Validation
  
  • Data Validation
  • Script validation
• User Acceptance Testing
• Go-Live Strategy