Qlik Sense Customers List: FAQs
What is Qlik Sense?
The companies or industries in the Qlik Sense user list believe that it is a platform that helps in the complete data analytics with its unique engine, sophisticated artificial intelligence, and a high-performance cloud platform. The website using Qlik Sense helps to empower the website and, thus, the organization as a whole and make better decisions rapidly. The organization becomes more focused on working, aiming to create a truly data-driven enterprise.
Who uses Qlik Sense?
The list of Qlik Sense customers includes companies from all around the world who prefer it because of the quick sense of data visualization, customer references, testimonials, including the customer size, industry location, partner involvement, etc.
What are some companies who use Qlik Sense?
The list of companies using Qlik Sense includes Danone, which is a France-based company with 102499 employees, Grupo Bimbo based in Mexico with 135909 employees, a United States-based organization Alliance data Systems Corporation with 8500 employees. The other companies who use Qlik Sense are Travelers, Hercrentals, Edwards, Accolade, CMA CGM, Barcel of the USA, etc.
What industries is Qlik Sense most popular in?
The Qlik Sense clients list includes companies from various industries like Computer software, Information Technology and services, Hospital and Health care, Financial services, insurance. The list of Qlik Sense customers also includes some companies working in Retail, Banking, Pharmaceuticals, Telecommunications, and Computer Hardware, etc.
What are some popular alternatives to Qlik sense?
All the companies or enterprises in the Qlik Sense contact list can use Looker, Domo, Microstrategy, Sisense, IBM Cognos, Analytics, Tableau Desktop, Microsoft Power BI Desktop, and Tableau server as alternatives.
What to expect from Ready's Qlik Sense customer list?
The Ready's Qlik Sense customers email list is prepared by tracking the customer insights globally. The customers need to share their specifications as a sample and get personalized counts and then finally purchase the dataset they prefer.