Design
Salesforce Data Cloud Implementation Services
Unify customer data to achieve a holistic view. Personalize every interaction for customer success.
Build a Unified Customer View: Get Started with Salesforce Data Cloud
Struggling to gain a unified view of your customers across disparate systems? Salesforce Data Cloud shatters data silos, creating a single source of truth for all your customer information. Our team of certified Salesforce experts, armed with deep data, analytics, and AI knowledge, becomes your partner in unlocking the power of Data Cloud. We'll ensure seamless integration with your existing infrastructure, aligning perfectly with your customer experience and revenue goals. Don't let valuable customer data remain untapped. Let us help you leverage Data Cloud to turn insights into action and achieve positive business outcomes.
Unlock Data Cloud’s full potential. New or existing setup, we craft solutions to maximize your data strategy and drive long-term success.**
Workshop: Unleashing the Value of the Data Cloud
Stuck on where to start?
This hands-on workshop unlocks the power of the Data Cloud, even for those using the free credits. We will identify high-impact use cases and build a personalized plan for success, launching you quickly with your Data Cloud MVP.
Customer 360 Powered by the Data Cloud
Ingest, harmonize, unify, and analyze streaming and batch data using Salesforce Data Cloud. Use these data to unlock meaningful and intelligent experiences across Customer 360 applications and beyond.
STREAMING DATA VIA THE SALESFORCE REST API AND INJECTION INTO THE DATA CLOUD
With our solution, Using direct object ingestion, it’s possible to directly choose specific objects and configure their ingestion into the Data Cloud.
How Does It Work?
- Connect all your data sources, whether batch or streaming data.
- Prepare your data using transformation and data governance features.
- Harmonize your data to a standard data model.
- Unify data with identity resolution rule sets.
- Query and analyze data using insights.
- Use AI to predict behavior.
- Segment your data and activate it for use in various channels to create personalized experiences.
- Analyze your data using supported analytical tools.
- Output data to multiple sources to act on data based on your business needs.
- Continue to review, measure, and optimize data.
Personalized To You
Meet Marta
Our digital customer, Marta, is like all of us. She has profiles and engagement data in multiple systems that provide her with customer experience.
- She has marketing engagement data that reflects her campaign preferences through the contact points she chooses.
- She has orders in Commerce Cloud that reflect her registered and guest checkout orders.
- She has a profile that she uses to interact with her online community.
- She has contact records in Service Cloud that reflect the different ways in which she has requested help.
While some of this data may live within Salesforce products, some of it—like the in-store point-of-sale data, legacy loyalty data, and data from business intelligence (BI) tools—does not. With all of Marta’s disconnected data, an organization needs a common way to identify her throughout her digital experiences.
All of this on one platform makes it easy to deliver more personalized customer experiences and make better decisions at scale.
Discover all of the company’s data sources in various locations, so you can bring them together.
Use any number of out-of-the-box connectors to bring the data sources together. This includes connectors to every Salesforce Cloud, Cloud Storage platforms including Amazon S3 and Google, streaming data from web and mobile sources, APIs integrated with MuleSoft, or custom API connections. These connectors help speed the process to bring external data from multiple data lakes.
Ingest and transform the data in streaming or batches with clicks, not code. Once ingested, the data is then mapped to a standardized data model based on Salesforce Customer 360. This ensures Data Cloud has a uniform way of identifying everything from individuals, to transactions, to channel engagement.
Data Cloud identity resolution allows customers to bring identities together and match them across common data points—such as an email address or first and last name—creating a unified view of each customer.
Standardized and unified customer data can be used within Data Cloud to power insights like Customer Lifetime Value, or be connected to external artificial intelligence (AI) or business intelligence (BI) tools for predictions, recommendations, and data discovery.
Companies can act on this data. Update Lightning pages in App Builder or trigger Flows. Power decisions, real-time applications, analytics, and more, on one platform. Publish unified segments of customers to advertising or marketing platforms. Data Cloud brings together all of the data on the Salesforce Platform to save time and create personalized customer experiences.
Without the capabilities of Data Cloud, customers face the challenge of building and maintaining a massively complex and expensive data infrastructure, with multiple data patterns requiring different data platforms and technologies.
With Salesforce Data Cloud, organizations have the power to personalize every interaction with AI on a hyperscale.
Connect the enterprise: Get a single, harmonized view across the enterprise for engagements, analytics, machine learning (ML), and actions.
Democratize big data: Bring the power of big data to all users, including developers and business analysts.
Build a single source of truth: Unify hundreds of billions of digital engagements with billions of profiles.
Engagement everywhere: Engage in real-time across multiple channels and touchpoints.
Check out this simplistic architectural view that brings together all of the modes through which Data Cloud is delivered and the value it provides.
Data Cloud is now a cornerstone in the Salesforce Customer 360 vision and the platform from which every connected experience can be orchestrated.
Data Cloud supports multiple data patterns consistently, including the following:
Applications
Real-time decisioning
ML processing
Event processing
Analytics
Big data lakes
Data Cloud features cover functionality for enterprise customer data in five key categories:
- Connect
- Harmonize
- Unify
- Analyze and Predict
- Act