Most businesses need a single source of truth for their customer data. Providus is a certified Salesforce Data Cloud consulting company that helps businesses unify fragmented customer records into real-time unified profiles and then activate those profiles across the Salesforce ecosystem.
Choose an option to see how Providus solves your unique challenge:
Every Salesforce cloud your business uses generates its own version of the customer. Sales Cloud holds the account and opportunity history. Marketing Cloud tracks campaign engagement and email behavior. Service Cloud owns the case history and CSAT data. None of these clouds talk to each other by default, resulting in every team operating from a partial picture.
Identity resolution is where most Salesforce Data Cloud implementations quietly fail. Connecting the same customer’s records across CRM, web analytics, email engagement, and transactional platforms sounds straightforward until you are looking at hundreds of thousands of contact records where the same person appears under three email addresses, two different account names, and an old, duplicated form-fill record.
Most organizations that license Salesforce Data Cloud get one use case live, usually a marketing segmentation project built on a handful of Data Lake Objects, and then watch the rest of the platform sit idle. Calculated Insights that would surface next-best-action signals never get built. Activation Targets that would feed real-time unified profile data into Agentforce Topics and Actions never get configured. The Data 360 potential is left unmet.
Our Salesforce Data Cloud consulting services connect CRM records, marketing engagement data, transactional history, web behavioral signals, and external sources into unified profiles mapped to Data Cloud’s Cloud Information Model.
A poorly configured Identity Resolution ruleset produces over-merges that are harder to unwind than the original fragmentation. We design match rules, define reconciliation logic priority, configure the Identity Graph, and validate merge behavior against your data.
We design and deploy Calculated Insights using Data Cloud’s multi-dimensional metric engine, surfacing lifetime value signals, churn risk scores, engagement frequency bands, and next-best-action indicators directly into the Salesforce objects your teams already work in every day.
Agentforce is only as accurate as the data underneath it. We configure the Data Cloud-to-Agentforce grounding pipeline, connecting unified profiles, Calculated Insights, and real-time Data Graphs to Agentforce Topics and Actions through retrieval-augmented generation (RAG).
Static list-based segmentation becomes obsolete the moment a customer’s behavior changes. We build dynamic segment definitions on top of unified profiles and configure real-time Activation Targets that push refreshed audience data to Marketing Cloud, Advertising Studio, and external platforms.
Providus provides post-launch Salesforce Data Cloud services with defined SLAs, named point of contacts, and structured quarterly reviews that keep your implementation current rather than drifting away from its original objectives.
Our readiness assessment reviews your existing Salesforce org structure, external data source inventory, identity resolution scope, data quality health across key objects, and consent and compliance posture.
The result is a prioritized Data Cloud implementation roadmap, including which Data Lake Objects to ingest first, which Identity Resolution match rules to configure, and which Calculated Insights will deliver the fastest downstream value for your specific use cases.
What’s included:
We implement Salesforce Data Cloud around your specific use cases, data sources, and downstream activation requirements. This includes configuring Data Lake Objects mapped to the Cloud Information Model, building the Identity Resolution ruleset against your actual data volumes, deploying Calculated Insights tied to your KPIs, and validating unified profile accuracy before any Activation Target goes live.
What gets built is a Data Cloud org that performs in production, not one that passes a UAT script and then drifts.
What’s included:
A unified customer profile with no downstream activation is a data project, not a business outcome.
We build the Data 360 activation layer that takes your unified profiles, Calculated Insights, and real-time segment definitions and deploys them where they drive decisions, Marketing Cloud journeys triggered by live behavioral signals, Sales Cloud opportunity scores updated by Data Cloud-derived propensity data, Service Cloud agent context enriched with unified account history, and Agentforce agent grounding pipelines that pull real-time Data Graph data at the moment of interaction.
What’s included:
A Data Cloud implementation that has been live for over a year without a structured review is almost certainly running below its potential. Identity Resolution rulesets that worked at initial data volumes may be producing over-merges as ingestion has grown. Calculated Insights that were relevant at launch may not reflect current business KPIs. Activation Targets may be running on refresh cycles that no longer match campaign cadences.
We audit the full implementation, ingestion health, identity graph quality, Calculated Insights relevance, segment performance, and Activation Target accuracy, and deliver a specific remediation plan.
What’s included:
Data Cloud implementations need active maintenance. New data sources require ingestion design and identity resolution testing before they go live. Salesforce releases new Data Cloud capabilities three times a year.
Calculated Insights need retuning as customer behavior patterns shift. Our data cloud implementation and support service keeps your implementation current, your unified profiles accurate, and your activation outputs reliable, with a named point of contact and defined response times on every managed engagement.
What’s included:
We help companies simplify their processes and scale their operations by providing Salesforce development services across the platform ecosystem.
Data Cloud is what makes Agentforce accurate rather than approximate. We configure the grounding pipeline that connects unified customer profiles, Calculated Insights, and real-time Data Graphs to Agentforce Topics and Actions through retrieval-augmented generation (RAG).
We activate Data Cloud unified profiles into Sales Cloud by surfacing Calculated Insights as Einstein Lead Scoring inputs, opportunity propensity signals, and account health indicators directly on the record. Sales reps gain access to behavioral data, campaign engagement history, and service interaction signals.
Data Cloud unified profiles enrich Revenue Cloud with the full customer context that drives renewal and expansion decisions. We connect Data Cloud-derived propensity signals, engagement frequency data, and product usage indicators to Revenue Cloud contract and subscription records
Service agents with a complete customer context resolve cases faster and escalate less. We connect Data Cloud unified profiles to Service Cloud so every case record is enriched with behavioral signals, product usage data, and cross-channel interaction history from the Data Graph.
Static list-based segmentation cannot keep pace with real customer behavior. We connect Salesforce Data Cloud to Marketing Cloud so journey entries, audience segments, and suppression logic are driven by real-time unified profile data rather than batch exports.
We connect Salesforce Data Cloud to Experience Cloud so audience targeting, Agentforce agent grounding inside portals, and dynamic content rules are all driven by unified customer profiles. This gives every portal user an experience reflecting their actual account history, behavioral signals, and lifecycle stage.
We designed and developed a responsive eCommerce website from scratch. The new experience reflects the brand’s identity, simplifies product discovery, and delivers intuitive navigation across all touchpoints, built with performance and scalability in mind.
We performed a full audit of Finqalab’s trading platform, reviewing architecture, code, and security. The outcome was a clear action plan to fix risks and improve performance before scaling.
