Salesforce Data Cloud: Unified Data for Financial Services
Break down data silos and create a single source of truth for client information. Real-time data streaming, AI-powered insights, and 360-degree client views that drive personalized experiences.
Data Cloud (formerly Customer Data Platform) unifies fragmented data from core systems, custodians, portfolio management platforms, and third-party sources into a complete, real-time view of every client. Give your advisors, bankers, and agents the insights they need to deliverexceptional, personalized service.
The Challenge
The Cost of Fragmented Data
Financial services firms struggle with data scattered across dozens of systems. Client information lives in custodians, core banking platforms, policy administration systems, financial planning tools, and spreadsheets. This fragmentation creates serious problems:
Common Pain Points:
- Incomplete Client Views: Advisors can't see the complete financial picture
- Manual Data Entry: Staff waste hours copying data between systems
- Inconsistent Data: Different systems have conflicting information
- Slow Decision-Making: Can't access real-time data when it matters
- Poor Personalization: Can't deliver relevant experiences without complete data
- Compliance Risk: Incomplete audit trails and data lineage
The Solution
What is Salesforce Data Cloud?
Data Cloud is Salesforce's real-time customer data platform that ingests, harmonizes, and unifies data from any source—giving you a complete, accurate, and actionable view of every client.
Real-Time Data Integration
Connect to any data source—custodians, core banking systems, policy administration platforms,data warehouses, and third-party APIs. Data flows in real-time, ensuring your team always has current information.
Key Features:
- Pre-built connectors for financial services systems
- Custom API integrations
- Batch and streaming data ingestion
- Change data capture (CDC)
- Bi-directional sync
Identity Resolution
Automatically match and merge client records across systems. Data Cloud uses AI to identify thesame person across different data sources, creating unified profiles.
Key Features:
- Fuzzy matching algorithms
- Household relationship resolution
- Duplicate detection and merge
- Golden record creation
- Relationship mapping
Customer 360 Views
See complete client profiles including demographics, accounts, transactions, interactions, preferences, and behaviors—all in one place.
Key Features:
- Unified client profiles
- Household aggregation
- Account and transaction history
- Interaction timeline
- Behavioral insights
AI-Ready Data Foundation
Data Cloud prepares your data for AI and analytics. Clean, harmonized data powers Einstein AI, AgentForce, and advanced analytics.
Key Features:
- Data quality and cleansing
- Schema mapping and transformation
- Calculated insights and metrics
- Segmentation and audiences
- Predictive modeling
Key Features Deep Dive
Data Cloud Features That Transform Financial ServicesOperations
Data Streams
Ingest data from any source in real-time or batch. Pre-built connectors for Salesforce objects,external databases, APIs, and file uploads.
Data Model Objects
Map your data to standard or custom data model objects. Financial services-specific objects for accounts, households, transactions, and more.
Calculated Insights
Create derived metrics and KPIs. Calculate total household AUM, lifetime value, engagement scores, and custom business metrics.
Segmentation
Build dynamic audiences based on any criteria. Create segments for marketing campaigns, service tiers, or risk categories.
Activation
Push unified data back to Salesforce CRM, Marketing Cloud, or external systems. Ensure everysystem has access to complete, accurate data.
Data Actions
Trigger workflows based on data changes. Automate processes when account balances change, transactions occur, or client behaviors shift.
How We Implement
Data Cloud
Our proven methodology ensures successful Data Cloud implementations that deliver immediate value.
Phase 1: Data Discovery
Inventory all data sources, Document data schemas, Identify integration requirements, Define success metrics
Phase 2: Data Architecture
Design data model, Map source systems to, Data Cloud objects, Plan identity resolution rules, Define calculated insights
Phase 3: Integration Build
Configure data streams, Build custom connectors, Implement identity resolution, Create calculated insights
Phase 4: Testing & Validation
Data quality testing, Identity resolution validation, Performance testing, User acceptance testing
Phase 5: Activation & Optimization
Go-live support, Monitor data quality, Optimize performance, Continuous enhancement
Why Financial Services Firms Choose
Vantage Point for Data Cloud
Financial Services Data Expertise
We understand the unique data challenges in financial services—from custodian data feeds to core banking integrations to household aggregation.
Integration Excellence
We've built Data Cloud integrations with every major financial services platform. We know the data schemas, APIs, and best practices.
Proven Methodology
Our structured approach ensures data quality, governance, and security from day one.
Ongoing Optimization
We don't disappear after launch. Our team continuously monitors data quality and optimizes performance.
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