TechValidate Research on Qlik


Qlik Case Study

Montagu Evans Saves $190,000 with Qlik

Introduction

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

“With Qlik we were able to reduce other software licensing costs by $150,000 USD per year by visualizing data and automating reporting outputs.”

“Qlik allows us to visualize data from multiple sources in a single app, giving us a holistic view of our business.”

“We have been using Qlik for over 6 years and it has consistently delivered the required outcomes in an easy-to-use way.”

Challenges

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

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

Use Case

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

  • The unique Qlik capabilities they see as highly beneficial:
    • Interactive dashboards with associative exploration
    • Open and standard APIs for extending and embedding analytics

Results

The surveyed company achieved the following results with Qlik:

  • Rates the value that Qlik delivers for their organization in the following use-cases:
    • Dashboards and applications for business users: extremely valuable
    • Custom and embedded analytics: extremely valuable
  • The Qlik features they consider to be best-in-class:
    • Powerful visualizations that convey impactful meaning
    • Easy-to-use experience
    • Interactive exploration and search
    • Ability to combine multiple data sources
  • They experienced the following benefits since switching to Qlik, compared to other competitive analytics tools:
    • Qlik is the only analytics tool we have used
  • 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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