TechValidate Research on Qlik


Case Study: Hologic

Introduction

This case study of Hologic is based on a October 2015 survey of Qlik customers by TechValidate, a 3rd-party research service.

“We now have visibility into data that’s touched by multiple departments, which helps us make better and faster decisions.”

Challenges

Before implementing Qlik, Hologic had several data-related challenges:

  • Difficulty connecting multiple and disparate data sources to see the whole story in their data
  • Departmental silos and insufficiently broad security privileges which made it difficult to access data
  • Too much data and no way of making sense of it
  • The existing BI solution was difficult to use and didn’t support their data analysis needs

Hologic picked Qlik because it it lets them associate data from multiple sources so they can see the whole story within their data. They find the product easy to use and it lets them quickly drill down to the underlying data. Qlik’s robust governance capabilities enables them to determine who can access what and what they can do with it and users can create intuitive and smart visualizations to represent their data.

Before choosing Qlik, Hologic also considered Salesforce Wave and BI solutions from IBM and Oracle.

Use Case

Qlik is deployed across the enterprise, in multiple departments and regions.

Results

Hologic employees say they use their apps everyday to make better decisions. By using Qlik to hone their skills, they say they have become more valuable to the organization.

Qlik has had a huge impact on Hologic’s business. They’ve seen faster and more confident decision-making, cost reduction, more cross-departmental use of data, and employees are finding new ways to approach business issues.

Hologic estimates that they have improved their decision-making agility by 25% – 49% with Qlik.





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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