Data Cloud In Salesforce

Imagine a world where you could seamlessly unite all your customer data, regardless of its origin, into a singular, unerring source of insight. Picture the ability to employ this real-time data to not merely treat your customers as statistics, but to truly comprehend and connect with them on a personal level.

This is the remarkable promise of Salesforce Data Cloud – the pioneering platform for customer enchantment.

Data Cloud harnesses the power of real-time data within Customer 360, enabling you to craft enchanting customer experiences with unparalleled ease.

At its core, Data Cloud is a dynamic data platform that merges the robust capabilities of the Salesforce Platform with the scalability required for near-instant data processing.

Data Cloud has the capacity to process trillions of records, handle petabytes of data and manage thousands of requests per second for each customer.

Before digging deep into how the Data Cloud works, let's understand how data comes into the data cloud.

Data Ingestion

• The initial step involves aggregating all your enterprise data from various sources, including Salesforce clouds and third-party platforms like AWS, Google, and more.
• You can even synchronize real-time engagement data from your web and mobile applications.
• Data Cloud simplifies this process with built-in connectors, seamlessly drawing data from a bunch of sources, be it Salesforce applications, mobile and web interfaces, connected devices, or even legacy systems via MuleSoft.

Data Transformation

• Once data resides within the Data Cloud, it can be effortlessly transformed and cleansed. Leveraging a visual builder, you can swiftly enhance, aggregate, filter, and join your data to refine it before mapping.
• Post-cleansing, data is harmonized into a canonical model known as the Customer Data 360 model within Salesforce, facilitating data mapping.

Data Unification and Enhancement

• With data residing in Data Cloud, you can consolidate customer data into unified profiles, enhance it using insights and AI, create customized segments and analyze it using powerful analytics tools such as Tableau.
• Imagine if a person uses different email addresses. Data Cloud figures out it's the same person and makes one profile for them.
• Data Cloud uses rulesets in the Identification Resolution feature to do this. For example, if it sees the same email and name, it puts them together into one profile.
• You get to choose what info goes into the customer's profile. This makes it possible to have personal interactions with customers no matter where their data comes from.

Data Empowerment

• Armed with unified data and insights, teams can infuse AI into their workflows, trigger automation and transform data into intuitive dashboards for advanced visualizations and analytics.

Data Cloud can assist teams across various Salesforce clouds in the following ways:

Salesforce Sales Cloud

Empower your sales reps with real-time guidance during customer interactions, enabling them to adapt to conversations and deliver personalized offers.

Salesforce Service Cloud

From contact centres to field service, provide proactive support with real-time alerts that detect challenges, enabling agents to intervene, engage customers, and swiftly resolve issues.

Salesforce Marketing Cloud

Every marketer can deliver personalized messages across channels that adapt to customer activity in real time, enhancing engagement across various brand properties.

In terms of pricing, Data Cloud operates on a consumption-based model, ensuring you only pay for the services you utilize. This is facilitated through Data Services Credits and Segmentation and Activation Credits.

The Data Cloud Starter for Marketing Cloud is competitively priced at $108,000 USD per Salesforce org per year.

Embrace the future of customer engagement with Salesforce Data Cloud, where data transforms into magic and customers are more than just numbers.

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