Qlik > Case Studies > Data-driven business with Qlik

Data-driven business with Qlik

Qlik Logo
Company Size
1,000+
Region
  • Europe
Country
  • United Kingdom
Product
  • Qlik Sense
  • GeoAnalytics
  • Continuous Classroom
Tech Stack
  • Data Analytics
  • Data Visualization
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Visualization
Applicable Industries
  • Telecommunications
Applicable Functions
  • Sales & Marketing
Use Cases
  • Predictive Quality Analytics
Services
  • Data Science Services
About The Customer
The customer in this case study is the Consumer division of BT, a major telecommunications company. Their goal is to have a BT product in every household in the UK. To achieve this, they needed to bring together large volumes of BT brand data from various data siloes and data warehouses into a combined view. They also wanted to empower users with the ability to interact and explore the data with confidence and trust.
The Challenge
The Consumer division of BT aimed to have a BT product in every UK household. To achieve this, they needed to consolidate various BT brand data from different data siloes and data warehouses into a unified view. They also wanted to empower users to interact and explore the data with confidence and trust.
The Solution
The solution involved the use of Qlik solutions including Qlik Sense, GeoAnalytics, and Continuous Classroom. The Data Visualisation team created a series of reusable apps, such as a consumer-wide view of the household. This provided digital enablement for users to perform data analytics on-the-fly, simplifying the process and reducing duplication and replication.
Operational Impact
  • Qlik has reduced the need for users to ask Analysts questions, freeing up their time for other tasks.
  • Users are accelerating their interaction ability by asking natural questions with answers aimed by response in ‘analytics in six or less clicks’.
  • This in turn, increases their confidence in the data, and assists the Data Visualisation team in enablement, onboarding and upskilling.
Quantitative Benefit
  • Reduced time spent on data analysis from up to 2 weeks to just a few clicks.

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