Salesforce Data Cloud Quick Notes — 5
🔢⏰Data Cloud Preparation | Are You In? — QUICK NOTES — 5⏰🔢
How Data Cloud Works
1️⃣Bring
Discover all of the company’s data sources in various locations, so you can bring them together.
2️⃣Connect
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 of bringing external data from multiple data lakes.
3️⃣Harmonize
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.
4️⃣Unify
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.
5️⃣Analyze & Predict
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.
6️⃣Act
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.
-lopsact
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