CUSTOMER 360
Your complete view of critical
customer data. All in the cloud.
- Increase customer engagement and loyalty
- Get a clear view of customer behavior
- Consolidate product and customer data
WHO uses it
Customer Experience, Product Strategy, Compliance, and Data Analytics Teams depend on Customer 360 to bring together siloed customer data and gain a comprehensive, unified view of each client.
Customer relationships are central to any business success, but managing those relationships effectively requires a complete, accurate, and real-time understanding of each client. As banks continue to diversify their product offerings and expand into new markets, customer data often becomes fragmented across different systems, channels, and business lines.
Customer 360 makes the most of your customer data by making sure you have control of it. Data is no longer siloed in different systems but instead is centralized, enabling you to perform analytics that inform how to service customers better, identify their potential needs more proactively, and market to them more effectively.
WHAT it’s used for
Customer 360 consolidates all customer and product data sources in one place, employing a common data model that’s ready to be used in the cloud for deep data analytics and reporting. All data processing is centralized, enabling you to fully control the data with no infrastructure or build-out required.
The goal is simple but critical: gain a complete, accurate picture of customer relationships and profitability. This enables you to:
- provide more relevant, personalized client service
- map customer accounts and product usage in one place
- identify sales opportunities across products and regions
- detect regional consumption patterns for targeted product strategies
- spot churn risks and nurture loyalty through proactive engagement
- eliminate management redundancies to improve efficiency and customer profitability
HOW it works
From Legacy to Cloud-Native: Store and manage raw customer, account, and product data in a highly scalable environment.
Model-Driven Integration: Apply proven financial data models to harmonize disparate data sources to create a unified customer data layer.
Ready-to-Use Data Schemas and Pipelines: Use pre-built schemas and ELT workflows to accelerate implementation and consistency across all mastered customer data.
Reporting & Analytics Enablement: Use BI dashboards and customer analytics to
Fast Time-to-Market: Reduce delivery timelines by enabling faster access to insights and business value.
Scalable, Governed Foundation: Establish a robust, centralized, and extensible data platform that’s ready to support future growth without the need for custom infrastructure.
