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            Data 360 and Tableau Use Cases

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            Data 360 and Tableau Use Cases

            Tableau helps you explore, analyze, and find hidden insights in your data. The Tableau to Data Cloud connectors use the Hyper query engine to provide fast processing. You can explore your Data 360data in near real time enabling quick and accurate decision-making. These example use cases illustrate how Data 360and Tableau work together to help you achieve your business goals and deliver a personalized experience for your customers.

            Auto Industry

            An automobile company wants to recommend new features and services that are relevant to each customer. The customer data is in the Marketing Cloud Engagement. The company also has other sources for vehicle-related data (mileage, frequent locations) and personal driving data (driving patterns, location).

            In Data 360, ingest, prepare, and unify the data to create a customer record that represents a single source of truth for each customer. Build segments to send personalized campaigns.

            Create data models that you can then use to explore and analyze in Tableau.

            • Understand how your customers are using your products and services to make better and relevant recommendations.
            • Decide on which new features would be useful and more likely to be adopted by customers in specific regions.
            • Gather key insights that can help you make business decisions, such as problems or alerts from vehicles based on model or driving range for electric vehicles.

            Financial Services

            A finance company is looking to simplify its customers’ banking experience and understand user interests based on the various channels that a customer engages with.

            To provide a customer journey that is simple and personalized, create a single and consistent view of each customer. In Data 360, ingest data from Engagement, Sales Cloud, and other data sources, such as banking transactions, real estate, or other financial services. Use calculated insights to determine when and how to engage with customers. Create segments based on this information.

            Use Tableau to consolidate and analyze data from Salesforce to get a deep understanding of customers and create a data-driven approach.

             
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