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Case Study

Modern Data Platform Doubles Analytics Usage

Modernization of data cloud platform for leading retailer increases data availability, restores business teams’ trust, and doubles adoption of decision-making insights to 90+%.

Challenge: Put reliable and timely data in the hands of business decision-makers

Swim USA is global industry leader in the design, manufacture, and marketing of branded, licensed, and private label swimwear. Founded in 1936, Swim USA is a privately owned, multi-generational company whose clients include some of the largest retailers and brands in the world, including Amazon, Target, Walmart and Ralph Lauren. 

A business with this much longevity and success depends on the quality of its people and its data. But connection challenges with its ERP system compromised its data reloading capacity, causing data quality issues and frequent crashes. Making matters worse, a Qlik on-premise analytics solution that was supposed to help teams get the insights they needed wasn’t deployed properly, so its speed and performance lagged. As users across the company—from product management and merchandising to IT and operations—became increasingly frustrated, their common complaint to IT was “We don’t have any data.” As frustration grew and trust declined, only about 40% of eligible team members were using the Qlik system, making business decision making more challenging and time consuming.  

Solution: Maximize platform investments to deliver insights teams can trust

Swim USA’s IT leadership realized the situation needed to be immediately and comprehensively addressed. They quickly mobilized to find a new consulting firm who not only had deep experience in data platforms and visualization solutions—and particularly Qlik—but also would be a more strategic long-term partner and problem solver.  

Cleartelligence quickly proved the right fit for Swim USA, demonstrating its ability to resolve the company’s immediate challenges and provide a roadmap for greater adoption and ROI on its Qlik investment. In just 3 months, the Cleartelligence team redesigned and built a modern data and analytics architecture powered by Qlik Cloud.  The solution has increased the quantity and velocity of data updates to their business-critical dashboards, bringing hourly updates to their sales, operations, and product teams, throughout the day.  And with Qlik providing ongoing maintenance and operational updates, Swim USA can rest assured that reliable data and trustworthy insights will keep flowing to business users. 

“Cleartelligence helped us stand up a modern data analytics architecture with Databricks, Fivetran, and Qlik Cloud that is delivering fast and accurate dashboard insights to our sales and operations teams every day. We are consistently impressed by their ability to bring the right expertise to the table and their commitment to optimizing the solution’s performance post-deployment.”

Dave ChristyVice President, IT Swim USA

Outcome: Significant Increases in Data Reliability and Adoption

With guidance and support from Cleartelligence, Swim USA was able to quickly reverse course on its data challenges and create a path to greater system performance and business impact. Highlights of the modern data solution stack work include: 

  • Data trust, availability, and usage are at all-time highs.  
  • Business users have returned to using Qlik for business insights, with system utilization up from a low of 40% to 90+%  
  • No more time-consuming, manual uploads of data. The process for loading and managing data is more automated and fluid.   
  • Not only is data reliable and routinely refreshed, but Swim USA has been able to integrate additional data sources it has struggled to add in the past. 

Next Steps:

The Cleartelligence team will build on this modern data stack foundation— leveraging the power of Fivetran, Databricks, Power BI, and Qlik—to deliver customized KPI dashboards to management-level users focused on measuring the progress and impact their teams deliver.

Learn how Cleartelligence can help your organization design, build, and optimize a modern data platform.

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