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PwC’s client, a global manufacturer and marketer of personal care products, is the brand chosen by millions of people every day to meet essential needs and make a positive difference in their lives. Looking to enhance its digital capabilities and data analytics, the company established a foundational, cloud-native data platform, helping it drive more informed business decisions across the enterprise.
To better deliver on its mission, the company sought to enhance its revenue growth management and pricing strategies as part of its commercial transformation. Its main challenge was to scale commercial analytics consistently and globally. To achieve that, the company needed to expand analytical capabilities across all markets, launch in a cloud environment, automate existing manual processes and help make sure the platform would fit its needs as it continues to grow.
With PwC’s help, the company leveraged the power of Microsoft Azure to design a global data platform across more than 20 countries and three regions. Together the teams standardized key metrics and automated the collection of the company’s financial performance data, freeing up time to analyze critical insights on its revenue, pricing power, margin and share. As a result, decision-making is more consistent locally, regionally and globally.
By identifying key commercial opportunities, like changes to product pricing, mix and promotion on the shelf, the company implemented a global solution for commercial analytics. It streamlined how insights are generated and consumed on Microsoft Azure — providing its employees near real-time insights on customers across the globe. PwC’s experience across retail, manufacturing and Azure cloud helped the company find the right technology to continue to deliver on its mission.
By using Microsoft Azure, PwC helped create a “single source of truth” that provides significant financial benefits – including an estimated $500 million in incremental annual operating income. The platform, deployed to more than 100 teams, was designed to support artificial intelligence use cases with next-generation data governance and anomaly detection capabilities. The company can now use automation to increase its time-to-value efficiency.
incremental annual operating income anticipated
users onboarded to a global platform with data from 20+ countries and 5+ product categories
metrics/measures to support future data use cases
Built a data platform that enhanced capabilities and experiences for customers and employees, while establishing trust across the enterprise