Just a moment, logging you in...
Gain a unified customer view to power smarter analytics solutions for customer centric decisions
Customer 360 offers a unified, holistic view of each customer, consolidating data from diverse sources to empower businesses in delivering personalized and consistent experiences across all channels
What it is Customer 360 is a comprehensive, unified view of each customer, built by integrating data from multiple sources. It consolidates information across transactions, interactions, preferences, demographics, and behaviors to create a single source of truth for customer insights.
How it works Data Ingestion : Establish pipelines to ingest both structured and unstructured data from diverse sources. Record Matching & Identity Resolution : Use deterministic and probabilistic techniques to match and merge records across systems, forming a unified customer profile. Data Integration & Harmonization : Transform and align data across sources, including survey data, into a centralized Azure Databricks warehouse enabling lookalike analyses and advanced analytics Feature Engineering & Computational Logic : Derive meaningful customer attributes—such as recency, frequency, and monetary value—to power predictive models and analytics. Near Real-Time Access & Consistency : Provide a consistent, up-to-date customer view across systems via near real-time APIs—empowering frontline teams with instant insights. Flexible Deployment : Kantar’s Customer 360 solution integrates seamlessly with Azure Data Factory (ETL), SQL, and Databricks, and supports code-based environments like R, Python, and SAS—ensuring platform flexibility.
Business questions this solutions helps with : How can we create a single, consistent view of our customers across all channels? What’s the best way to build holistic customer segments that reflect real behaviors and preferences? Do we have a centralized source of truth for customer analytics and decision-making? What defines our most valuable customers—and how can we find more like them? How can we leverage customer behavior data to enhance targeting and personalization?
Benefits Streamlined Operations and Efficiency Accelerated Personalization Faster Time to Market Consolidated Data Enhanced Data Enrichment Rapid Analytics Execution