Our client is a revitalized British motorcycle brand that blends traditional heritage with contemporary engineering. Renowned for their distinctive designs and performance, they embody the perfect fusion of timeless charm and modern innovation within the motorcycle industry.
Business Challenges
Data scattered across multiple systems led to inefficiencies, hindered decision-making and operational effectiveness
Due to scattered customer information and purchase history, marketing was inefficient, not personalised, and ineffective as a result
Duplicate records across multiple sources led to confusion and inefficiencies
The lack of a single source of truth led to fragmented data and inconsistent information
Solution Details
Leverage Data Cloud to arrive at a single source of truth, helping to streamline operations and enhance decision-making with centralized data
Unified 56K customer profiles to 27k unified profiles, reducing data duplication across all data sources
A Bi-directional integration between Data Cloud and Sales/Service Cloud facilitated seamless data ingestion via Data Cloud’s Copy Fields feature
Shopify integration also provided insights into customer purchases, enabling targeted marketing & personalized engagement
Service Cloud integration provided Contact, Lead, Account, and Case information.
Created and activated segments into Marketing Cloud to create automated journeys and personalized marketing engagement
Developed a specialized Python connector to link Data Cloud and Data Bricks, facilitating the generation of business intelligence driven by unified profiles
Value Delivered
A centralized, single source of truth for unified customer profiles improved decision-making and eliminated inefficiencies
Ingested 5 data sources to maintain Data Cloud as their main data repository
Integrating with Shopify for customer purchasing history also enabled targeted, personalized marketing
Data activation to three target sources (Marketing Cloud, Service Cloud, Data Bricks)
Bi-directional integration ensured real-time updates of customer information across data sources
Python connector with Databricks facilitated accurate analysis and strategic decisions
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