How Scholl's Wellness Company accelerated data reporting with TELUS RGM Analytics

Executive summary: data reporting acceleration 

Scholl's Wellness Company faced significant challenges in harnessing their data to influence retail buyer decisions. Although the company had access to diverse data sources from POS systems, shipping platforms and syndicated data partners, their analysis process was slow and centralized, creating bottlenecks that hindered critical buyer presentations and decision-making. By implementing TELUS RGM Analytics, the company transformed their data reporting process through harmonized data integration and unified dashboards. The solution created a single source of truth that streamlined analytics across the organization, empowering stakeholders to access data and perform quick analysis independently. This case study demonstrates how advanced analytics platforms can accelerate insights and enable consumer goods companies to craft compelling, data-driven narratives that drive retail buyer action.

About Scholl’s Wellness Company

Based in North America, Scholl’s is one of the leading manufacturers of footwear and orthopedic foot care, creating products for the US, France, Italy, Germany, the UK and Australia.

Software used

The TELUS Growth Management Analytics solution

The challenge: overcoming time-consuming and siloed data reporting

Scholl's faced a significant challenge in harnessing the power of their data to influence retail buyer decisions. Although Scholl's had access to diverse data sources, their analysis process was slow and centralized. As a result, it could take up to two weeks to compile a single analytics report featuring metrics from POS systems, shipping platforms and syndicated data partners.

This bottleneck slowed down important decision making and critical buyer presentations. It also hurt the company's ability to understand market changes and consumer trends when meeting with retail partners. Scholl's knew they needed a better way to handle their data. They wanted a solution that could turn complex information into clear, actionable insights that would not only improve business performance but also convince retail buyers to act decisively on new opportunities.

The solution: implementing TELUS Growth Management Analytics

TELUS TABS Analytics streamlined reporting by harmonizing all types of data reports into a single source of truth. This integration allowed for a unified view of key performance indicators (KPIs), significantly simplifying the data analysis process. In collaboration with stakeholders, TELUS created a series of advanced dashboard reports. The dashboards allowed teams to uncover insights about their operations, customers and competition more quickly than ever before.

TELUS Growth Management Analytics workflow

With data harmonization complete, creating analytics reports and presentations became not just easier, but a powerful tool for influencing retail buyer decisions. Recognizing that a buyer's easiest choice is often no decision at all, this data-driven reporting instills confidence in retail partners to introduce new Scholl's products to market. The speed and clarity of insights now available empower Scholl's teams to craft compelling narratives that drive action.

The results: transforming data reporting efficiency across teams 

TELUS Growth Management Analytics helped to improve Dr. Scholl's data management processes by 99.99%. Analytics reports that used to take two weeks are now ready in minutes. Accelerating the insights to action process allows stakeholders to make data-driven decisions based on real time KPIs. 

With all data in one place and easily viewed in dashboards, the team can spot important trends in business performance and take action, turning data into revenue opportunities. Additionally, with organization-wide access to data reporting there is less reliance on data analysts. This change empowers team members to navigate reports independently and use insights to inform daily tasks. 

Key Takeaways for CPG Companies: Lessons from Scholl's Analytics Transformation