Procter & Gamble Leverages Azure for Data-Driven Transformation in Consumer Goods Industry
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Azure
- Azure Data Lake Storage
- Azure Synapse Analytics
- Power BI
Tech Stack
- Azure
- Azure Data Lake Storage
- Azure Synapse Analytics
- Power BI
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Consumer Goods
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Supply Chain Visibility
- Retail Store Automation
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
Procter & Gamble (P&G) is a multinational consumer goods corporation with a history spanning over 180 years. Known for its innovative approach, P&G has built a thriving business by challenging norms and delighting consumers with a wide range of household products. These products, including toothpaste, soap, paper towels, and laundry detergent, are found in millions of homes across nearly every country on Earth. As a large corporate entity with over 10,000 employees, P&G is headquartered in the United States and operates globally. The company is committed to leveraging data and algorithms to disrupt its operations constructively, leading to growth and maintaining its position as a digital leader in the consumer goods industry.
The Challenge
Given its broad scope and long history, P&G had numerous data points about its business, including what drives sales and product preferences. However, the data resided in geographically dispersed silos, and P&G’s legacy systems couldn’t link the hundreds of disparate data types to gain collective insights. P&G sought a platform that could unlock those silos and provide a single view for business users. At the same time, company leaders realized that they needed to foster a data-driven culture—a growth mindset that put data and analytics at the forefront. AI, machine learning, and advanced analytics were all seen as crucial to becoming a true digital leader.
The Solution
P&G found what it needed with the powerful suite of Microsoft Azure data and AI solutions, such as Azure Synapse Analytics, Azure Data Lake Storage, and Power BI. These tools helped optimize the impact of digitization across Procter & Gamble, from democratizing AI with no-code features to embedded capabilities in Power BI. The Azure stack provided the scale, flexibility, and analytical muscle needed to meet P&G's business needs, offering leading data and algorithm capabilities with both the Azure Synapse back-end and front-end Power BI tools. With these scalable, dynamic data solutions, P&G is addressing three key challenges: creating a resilient supply chain, improving retail execution, and delivering superior products and packaging. P&G data scientists and business analysts combine information from existing and new data sources inside the data lake to create predictions that help ensure consumers can get the products they need, when they need them. Additionally, P&G is using granular analytics capabilities to ensure that retail partners are putting the right products and right in-store displays in front of consumers. The company is also using data and analytics in its products and packages to shift from a point-in-time assessment to a real-time, sense-and-respond approach.
Operational Impact
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