Data Cloud
AQBEE implements Data Cloud to break down data silos and create a unified, real-time customer profile. By ingesting data from CRM, web, mobile, IoT, data warehouses, and third-party sources, Data Cloud enables identity resolution, dynamic segmentation, and AI model activation — powering personalised experiences across Sales, Service, Marketing, and Commerce Cloud.
What We Deliver
Data Ingestion & Harmonisation
Connect and ingest data from any source — Salesforce orgs, databases, data lakes, streaming APIs, and third-party platforms — with automated schema mapping and transformation.
Identity Resolution
Resolve customer identities across disparate systems using deterministic and probabilistic matching rules, creating a single unified profile from fragmented records.
Real-Time Segmentation & Activation
Build dynamic audience segments that update in real time and activate them across Marketing Cloud journeys, Commerce Cloud personalisation, and advertising platforms.
Calculated Insights & AI Features
Create calculated insights (lifetime value, engagement scores, churn propensity) and use them as features in Einstein AI models across all Salesforce clouds.
Data Sharing & Lakehouse Integration
Share unified profiles with Snowflake, Databricks, or BigQuery via zero-copy data sharing, and bring external model predictions back into Salesforce workflows.
How We Apply It
Real-Time Personalisation for Financial Services
A bank ingests transaction feeds, web clickstream, and branch visit data into Data Cloud to create real-time customer profiles that power personalised product recommendations in the mobile banking app.
Data Cloud calculated insights feed Einstein AI models that predict next-best-product, while real-time segments trigger personalised in-app messages via Marketing Cloud.
Unified Patient Profile for Healthcare
A health system unifies EHR, claims, wearable, and social determinants data in Data Cloud, giving care teams a complete patient view that improves care coordination and reduces readmissions.
Identity resolution merges patient records across 15 facilities, while Einstein Discovery models trained on unified data predict readmission risk.
Customer Data Platform for Retail
A multi-brand retailer consolidates POS, e-commerce, loyalty, and social data in Data Cloud, enabling cross-brand audience activation and reducing customer acquisition costs by 35%.
Data Cloud real-time segments activate across Marketing Cloud, Commerce Cloud, and Google/Meta advertising platforms simultaneously.
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