Building a trusted foundation for AI
Electronic connecter manufacturer embeds Qlik’s data visualization tool to set themselves up for AI success
DIE SACHLAGE
Siloed data tools and programs regularly lead to data quality issues, inhibiting data-led action and a cohesive data culture within the Group.
Radiall is a world leader in electronic connectors for industries such as space, defense, telecoms and aerospace.
DAS UNTERNEHMEN
DIE HERAUSFORDERUNG
Exponential growth meant the company had outgrown its current data processes, leading to adaptation and scalability issues as analytics operations took on a life of their own.
DIE ANFORDERUNG
Tracking and sourcing trustworthy data from various sources for effective analysis, while setting up the right data systems to reap the full benefits of any AI tools integrated with company systems.
“Nearly every time someone comes to me with a data question, I turn to Qlik. The next step is getting everyone else to take thi s approach. This is how we'll scale the data side of our business.”
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DIE LÖSUNG
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Radiall used Qlik Sense’s associative engine – including its embedded extract, transform and load (ETL) capabilities – to build operational and discovery dashboards that were simple and interactive for business users.
DIE FOLGEN
Staff are experiencing time savings of two days per month, without the burden of producing and navigating data dashboards manually. Reports that previously took almost a month are now completed in an working week, while improved data quality has accelerated business response times.
“The increased data quality achieved with Qlik has improved business response times and created incredible trust in the data people are using. That trust is enabling us to confidently explore new use cases for real-time data with predictive analytics and AI, which will help us find even more value in our data.”
DER UNTERSCHIED
The intuitive design of Qlik Sense enables users to build their own dashboards, scale them up and down as required, and adapt them to suit their own data journeys and use cases – without creating the siloes associated with traditional EPM solutions.
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