Aress implements Salesforce Data 360 (formerly Data Cloud) - unifying customer data from every source in real time, so your Agentforce agents, marketing campaigns, and service teams always work from a single source of truth.
Aress tip: If your partner or documentation still calls it "Data Cloud" - that's fine. The product is the same. What matters is that the person implementing it knows the current architecture, not just the latest rebrand.
Most organisations don't have a data shortage - they have data scattered across CRM, ERP, marketing platforms, and data warehouses with no unified view. Data 360 connects and reconciles those sources into a single customer profile without requiring you to move or duplicate data.
Data 360 streams live customer events - a purchase, a service interaction, a web visit - into unified profiles as they happen. This isn't a nightly ETL process. When a customer submits a complaint, your Agentforce agent sees it within seconds, not tomorrow.
Agentforce agents query Data 360 profiles before every response. Without unified, current data, agents act on incomplete or conflicting information - producing inaccurate, impersonal, or wrong answers. Data 360 is what makes agents trustworthy at scale.
Data 360's Zero Copy architecture lets you query data in Snowflake, Databricks, or BigQuery directly - without ingesting or duplicating it. This reduces cost, maintains governance, and keeps regulated data where your compliance team expects it to be.
Data 360 sits at the centre of your Salesforce ecosystem - ingesting from every source, resolving identities, and activating unified profiles across every cloud and AI agent.
Zero Copy integration with Snowflake, Databricks, BigQuery, and Redshift - query data in place without moving or duplicating it.
Ingest from Salesforce clouds (free), external systems via pre-built connectors, batch uploads, streaming APIs, and Zero Copy connections to your existing data warehouse. Structured records and unstructured content (emails, support transcripts, documents) are both supported.
Deterministic and probabilistic matching rules reconcile records across sources - linking the same customer across CRM, commerce, and support systems even when IDs differ. The result: one unified profile per real individual, not one per system.
Build AI-powered segments, lifetime value scores, churn propensity models, and engagement metrics on top of unified profiles - then use them in Marketing Cloud journeys, Agentforce agent context, and Tableau dashboards.
Push unified segments to Marketing Cloud, Sales Cloud, Service Cloud, ad platforms (Meta, Google, TikTok), and external file destinations - all from one place, with consent managed centrally.
Aress architecture principle
We design every Data 360 implementation with Agentforce in mind - scoping data models, schema design, and ingestion patterns that support AI workloads from day one, not retrofitted later.
Unifying data is the foundation. ROI comes when you activate that data to change outcomes - lower costs, higher conversion, faster service, and smarter AI.
Provide every Agentforce agent with a complete, current customer profile before it responds or acts. Without Data 360, agents work on incomplete data. With it, they deliver accurate, personalised, trustworthy responses at scale.
Personalise web content, product recommendations, and marketing messages based on live customer behaviour - not yesterday's segment. Sub-second profile updates mean personalisation reacts as customers act.
Unify purchase history, web behaviour, and service data to trigger timely cross-sell and upsell offers. When every signal is in one place, your agents and campaigns reach the right customer at exactly the right moment.
Build calculated insight models that score churn propensity across the unified customer profile - flagging at-risk accounts before they leave and triggering proactive service or retention campaigns automatically.
Build high-intent segments from unified CRM and behavioural data - then push directly to Meta, Google, and TikTok for lookalike modelling and suppression. Decrease cost per acquisition and eliminate wasted ad spend.
Stream telemetry or IoT events into Data 360 to trigger proactive service cases in Service Cloud before a customer even notices a problem. Pair with Agentforce Service Agents for fully automated resolution.
Data 360 is not plug-and-play. It demands thoughtful schema design, governance planning, and an architecture built around your actual use cases - not a generic template.
We audit your current data landscape - sources, quality, volume, consent posture, and governance maturity - then score your readiness and define the highest-ROI use cases to start with.
We design your Data Model Objects (DMOs), identity resolution rules, and ingestion architecture before a single line of configuration. Poor schema design is the most common cause of Data 360 project failure.
Connect your data sources - Salesforce clouds, ERP, data warehouse, external APIs - configure matching rules, and build unified profiles. Zero Copy connections for Snowflake, Databricks, and BigQuery where applicable.
Build your first calculated insights - LTV scores, churn propensity, engagement scores - and create the audience segments that will drive your first activation use cases.
Push segments to Marketing Cloud, connect to Agentforce for AI grounding, and activate paid media channels - then measure lift, match rates, and time-to-insight against agreed KPIs.
Implement consent management, data masking, retention policies, and audit dashboards. Then expand to new use cases, clouds, and regions as your Data 360 maturity grows.
Connect your first data source, implement identity resolution, and build your first three audience segments - ready to activate in Marketing Cloud or Agentforce.
4-6 weeksEnd-to-end implementation across multiple data sources, complete identity resolution, calculated insights, and activation across Agentforce, Marketing Cloud, and paid media platforms.
12-20 weeksOngoing management of your Data 360 environment - schema evolution, new source integrations, segment governance, performance monitoring, and quarterly business reviews.
OngoingStart with a free data readiness assessment
We evaluate your data sources, quality, and governance posture - then recommend the right implementation path for your specific use cases and budget.
Book a free assessment →Data governance, compliance requirements, and data architecture vary significantly by industry. Our vertical expertise means faster time-to-value and fewer surprises.
Unified client profiles across CRM, core banking, and wealth platforms. Aress has a live Data 360 implementation for a financial services client - powering AI-driven next-best-action recommendations.
HIPAA-compliant patient data unification - integrating EHR, Health Cloud, and payer systems into a patient 360 view. Governs consent, data residency, and de-identification from the ground up.
Unify purchase history, web behaviour, loyalty data, and support interactions to drive personalised product recommendations, proactive service, and real-time campaign activation.
Connect SAP or other ERP data with Salesforce CRM and IoT telemetry streams - enabling proactive service, asset health monitoring, and predictive maintenance workflows.
Real-time energy consumption data, asset performance streams, and customer engagement data unified - to deliver proactive billing advice, outage alerts, and efficiency recommendations.
Unify project, billing, and client interaction data for consulting, legal, and asset management firms - enabling AI-powered client insights, renewal intelligence, and service efficiency.
Aress has completed Data Cloud / Data 360 implementations for clients in financial services and healthcare - not just certifications on paper. We know where the schema design decisions are and where the pitfalls hide.
We design every Data 360 implementation with Agentforce in mind - data model, identity resolution rules, and calculated insights scoped for AI workloads from the start. Your data architecture won't need a redesign when you're ready for agents.
Healthcare (HIPAA) and financial services (GDPR, SOC 2) require compliance-first data architecture. Our team understands consent management, data masking, residency requirements, and audit trail design - not as an afterthought.
Data 360 implementations require sustained, expert involvement - not just a go-live handoff. Our global delivery model gives you follow-the-sun support across every timezone at a cost structure that makes long-term engagement viable.
We agree KPIs before implementation begins - match rates, time-to-insight, segment activation lift, and data freshness - and report against them throughout. You always know whether your Data 360 investment is delivering.
Before any implementation begins, Aress evaluates your data landscape to ensure your Data 360 project is set up to succeed - not just launched.
No commitment. Results delivered in 5 business days.
Salesforce Data 360 (formerly Data Cloud) is Salesforce's customer data platform - it ingests data from every source, resolves identities across systems, and creates a single real-time unified customer profile that powers Agentforce agents, personalised marketing, and smarter service.
The Data 360 Starter SKU lists at $60,000 per year. Total cost of ownership is typically higher - full use cases require additional Salesforce cloud licences, and enterprise implementations require professional services fees that can equal the software cost over 3 years. Aress helps you architect for cost efficiency from the start.
Data 360 and Snowflake serve different purposes. Snowflake is a data warehouse optimised for analytics. Data 360 is a real-time customer data platform optimised for activation - powering Agentforce agents, Marketing Cloud journeys, and Service Cloud responses. Data 360 can actually query your Snowflake data via Zero Copy, so they work together rather than competing.
They are the same product. Salesforce rebranded Data Cloud to Data 360 in October 2025. The core capabilities - data ingestion, identity resolution, real-time unification, and activation - are unchanged. The rebrand reflects its expanded role as the foundation for every Salesforce cloud and Agentforce.
You can start Agentforce without Data 360, but for reliable, personalised AI agents at scale, Data 360 is strongly recommended. Without it, agents work on partial or stale data - producing inaccurate responses. Data 360 is what makes Agentforce agents trustworthy rather than just functional in a demo.
A QuickStart connecting your first data source and building initial segments typically takes 4-6 weeks. A full multi-source implementation with identity resolution, calculated insights, and activation across Agentforce and Marketing Cloud typically runs 12-20 weeks depending on data complexity and governance requirements.
Practical guides and implementation insights written by our certified Data Cloud consultants.
The sixth rename in six years. We break down what's genuinely different about Data 360, what stayed the same, and what it means for organisations planning or mid-way through a Data Cloud implementation.
A technical walkthrough of our financial services Data Cloud project - connecting 6 data sources, building a unified client profile, and enabling AI-driven next-best-action for the sales team.
Schema design, identity resolution, and consent management errors that we see on every struggling Data 360 project - and exactly how to avoid them from day one of your implementation.
Book a free Data 360 readiness assessment with our certified specialists. We'll evaluate your data sources, identify your highest-ROI use cases, and deliver a clear implementation roadmap - in 5 business days.
Available across India, the US & the UK · No commitment required
info@aress.com
+91 253
6630710
781.258.1274
+44 (0) 7446 87 37 97