TechValidate Research on Qlik

Qlik Data Integration Case Study

New York University


This case study of New York University is based on a November 2019 survey of Qlik Data Integration customers by TechValidate, a 3rd-party research service.

“Qlik’s Data Integration Platform enables a DataOps approach that vastly accelerates the discovery and availability of real-time, analytics-ready data by automating data streaming, refinement, cataloging and publishing.”


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

  • The challenges Qlik Data Integration (Attunity) has helped their organization overcome:
    • The manual, error-prone and time-consuming process of having to provide data from across
    • The time-consuming process of integrating a data system after merger or acquisition

Use Case

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

  • Primarily uses Qlik Data Integration (Attunity) to provide data ingestion to data warehouses and/or data lakes.
  • Main reasons their organization invested in Qlik Data Integration (Attunity):
    • Their reputation as the leading Change Data Capture (CDC) vendor
    • The ease of use and no requirement for hand-coding
    • Automating the entire data pipeline from end-to-end


The surveyed organization achieved the following results with Qlik Data Integration:

  • How Qlik Data Integration (Attunity) has impacted their job role on a personal level:
    • Has become more valuable to their organization
  • Positive impacts they have seen from using Qlik Data Integration (Attunity):
    • Faster rollout of data integration projects
    • Improved real-time data availability for analytics projects
    • Accelerated adoption of cloud-based data lakes and warehouses

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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