Google Cloud Services

Google Cloud Solutions

AQBEE provides comprehensive Google Cloud Platform development services. AQBEE builds data warehouses on BigQuery, deploy AI/ML models on Vertex AI, create containerised applications on Cloud Run and GKE, architect event-driven systems with Pub/Sub, and develop full-stack solutions that leverage GCP's strengths alongside Salesforce. Our team handles everything from infrastructure design to application development and production operations.

Capabilities

What We Deliver

BigQuery Data Integration

Replicate Salesforce data to BigQuery for advanced SQL analytics, joining CRM data with web analytics, advertising, and enterprise data warehouse tables for comprehensive insights.

Vertex AI Model Deployment

Train custom AI models on Vertex AI with Salesforce data and deploy predictions back into CRM workflows for use cases like propensity modeling, demand forecasting, and anomaly detection.

Google Workspace Integration

Connect Gmail, Google Calendar, Google Drive, and Google Meet with Salesforce for automatic email logging, calendar sync, document attachment, and meeting intelligence.

Looker & Data Studio Analytics

Build Looker or Looker Studio dashboards that blend Salesforce CRM data with Google Analytics, Google Ads, and BigQuery data for unified marketing and sales analytics.

Cloud Functions & Pub/Sub Integration

Implement event-driven integrations using Google Cloud Functions and Pub/Sub for real-time data processing and asynchronous workflows between Salesforce and GCP services.

Real-World Applications

How We Apply It

1

Unified Marketing Attribution with BigQuery

A B2B company replicates Salesforce opportunity data to BigQuery, joins it with Google Analytics and Google Ads data, and builds a multi-touch attribution model that reveals true marketing ROI across all channels.

Key Highlight

Vertex AI attribution models analyse cross-channel journey data, with results surfaced in Salesforce CRM Analytics dashboards for marketing and sales leadership.

2

AI-Powered Sales Forecasting

An enterprise trains a custom forecasting model on Vertex AI using historical Salesforce pipeline data enriched with macroeconomic indicators, achieving 15% more accurate forecasts than native Einstein.

Key Highlight

Vertex AI AutoML Tables model trained on Salesforce opportunity data, with predictions written back to custom forecast fields via Cloud Functions and MuleSoft.

3

Google Workspace Productivity Integration

A consulting firm integrates Gmail, Calendar, and Drive with Salesforce, automatically logging client communications, syncing meeting schedules, and attaching project documents to opportunity records.

Key Highlight

Einstein Activity Capture combined with Google Workspace API for bi-directional sync, with Einstein AI extracting key insights from logged emails and meetings.

See this in action

View Related Case Study

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