TechValidate Research on Qlik


Qlik Case Study

Mercy Ships Uncovers Hidden Value with Qlik

Introduction

This case study of Mercy Ships is based on a June 2023 survey of Qlik customers by TechValidate, a 3rd-party research service.

“Qlik is a comprehensive tool that allows users to uncover valuable insights into a company’s assets, especially financial.”

Challenges

The business challenges that led the profiled organization to evaluate and ultimately select Qlik:

  • The other analytics tools they evaluated before selecting Qlik:
    • Microsoft Power BI
    • Tableau

Use Case

The key features and functionalities of Qlik that the surveyed organization uses:

  • The unique Qlik capabilities they see as highly beneficial:
    • AI-powered capabilities, such as insight generation and automation
    • Natural language conversational analytics
    • Open and standard APIs for extending and embedding analytics

Results

The surveyed organization achieved the following results with Qlik:

  • Rates the value that Qlik delivers for their organization in the following use-cases:
    • Self-service visualization: extremely valuable
    • Dashboards and applications for business users: valuable
    • Natural language, conversational analytics: very valuable
    • Custom and embedded analytics: very valuable
    • Mobile analytics: valuable
    • Predictive and prescriptive analytics: extremely valuable
  • The Qlik features they consider to be best-in-class:
    • Advanced authoring features for customized applications
    • Ability to combine multiple data sources
    • Responsive design delivers a optimized user experience across all devices
  • They experienced the following benefits since switching to Qlik, compared to other competitive analytics tools:
    • Superior performance
  • They agree with the following statement: “Qlik solutions are a key component of my data transformation strategy.”




About This Data

This data was sourced directly from verified users of Qlik by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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