Salesforce Data Cloud and GIS Data: A Dynamic Duo

1. Data Cloud Overview

Salesforce’s Data Cloud is a robust platform that combines the power of the Salesforce Platform with scalable infrastructure. Data Cloud Overview Salesforce’s Data Cloud is a robust platform that combines the power of the Salesforce Platform with scalable infrastructure. It processes data in near-real-time, handling trillions of records, petabytes of data, and thousands of requests per second per customer1. But how does it deal with GIS data?

1. GIS Data Ingestion • Data Streams: Data Cloud ingests data from various sources, including GIS data streams. These streams flow into the system, carrying location-based information—coordinates, polygons, and spatial relationships. • Data Lake Objects (DLOs): Within the Data Cloud, DLOs act as storage containers for all ingested data. Think of them as vast lakes where data streams converge. GIS data finds its home here.

2. Standard Data Model Objects (DMOs) • What Are DMOs?: DMOs are groupings of data created from data streams, insights, and other sources. They provide both physical and virtual views of DLOs. • GIS DMOs: Salesforce’s Data Cloud includes standard DMOs specifically designed for GIS data. These DMOs capture spatial attributes, such as geolocation fields, polygons, and relationships between geographic entities.

3. Starter Data Bundles • Mapping the Way: A starter data bundle is a predefined data stream definition provided by Salesforce. It includes mappings from a data source (including GIS) to the Data Cloud DMO structure. • Customization: While starter bundles serve as a foundation, you can customize them to align with your business needs. Some connectors even offer multiple data bundle options.

4. Data Graphs: Visualizing Relationships • Data Graphs: Imagine a visual map that reveals intricate connections between DMOs. Data Graphs allow you to trace related fields, rearrange relationships, and ensure that relevant field data flows seamlessly into AI applications. • Drag-and-Drop Exploration: Like a cartographer rearranging continents, you can drag and drop relationships to create meaningful data paths.

5. GIS Use Cases in Data Cloud • Location-Based Marketing: Target customers based on their physical proximity to specific points of interest. Whether it’s a local coffee shop or a national park, GIS data enhances personalized marketing. • Territory Management: Optimize sales territories using GIS insights. Assign reps based on geographic coverage, ensuring efficient coverage and customer engagement. • Spatial Analytics: Uncover patterns, hotspots, and trends. Overlay GIS data with customer demographics, sales data, or service requests to make informed decisions.

6. Conclusion Salesforce’s Data Cloud embraces GIS data with open arms. From ingesting streams to visualizing relationships, it empowers businesses to leverage location intelligence. So, whether you’re navigating marketing campaigns or charting sales territories, let the Data Cloud be your compass—a digital atlas guiding you through the spatial landscape. Remember, in the world of data, every point has coordinates, and every relationship has a story. But how does it deal with GIS data?

2. GIS Data Ingestion

• Data Streams: Data Cloud ingests data from various sources, including GIS data streams. These streams flow into the system, carrying location-based information—coordinates, polygons, and spatial relationships.

• Data Lake Objects (DLOs): Within the Data Cloud, DLOs act as storage containers for all ingested data. Think of them as vast lakes where data streams converge. GIS data finds its home here.

3. Standard Data Model Objects (DMOs)

• What Are DMOs?: DMOs are groupings of data created from data streams, insights, and other sources. They provide both physical and virtual views of DLOs.

• GIS DMOs: Salesforce’s Data Cloud includes standard DMOs specifically designed for GIS data. These DMOs capture spatial attributes, such as geolocation fields, polygons, and relationships between geographic entities.

4. Starter Data Bundles

• Mapping the Way: A starter data bundle is a predefined data stream definition provided by Salesforce. It includes mappings from a data source (including GIS) to the Data Cloud DMO structure.

• Customization: While starter bundles serve as a foundation, you can customize them to align with your business needs. Some connectors even offer multiple data bundle options.

5. Data Graphs: Visualizing Relationships

• Data Graphs: Imagine a visual map that reveals intricate connections between DMOs. Data Cloud Overview Salesforce’s Data Cloud is a robust platform that combines the power of the Salesforce Platform with scalable infrastructure. It processes data in near-real-time, handling trillions of records, petabytes of data, and thousands of requests per second per customer1. But how does it deal with GIS data?

• GIS Data Ingestion • Data Streams: Data Cloud ingests data from various sources, including GIS data streams. These streams flow into the system, carrying location-based information—coordinates, polygons, and spatial relationships. • Data Lake Objects (DLOs): Within the Data Cloud, DLOs act as storage containers for all ingested data. Think of them as vast lakes where data streams converge. GIS data finds its home here.

• Standard Data Model Objects (DMOs) • What Are DMOs?: DMOs are groupings of data created from data streams, insights, and other sources. They provide both physical and virtual views of DLOs. • GIS DMOs: Salesforce’s Data Cloud includes standard DMOs specifically designed for GIS data. These DMOs capture spatial attributes, such as geolocation fields, polygons, and relationships between geographic entities.

• Starter Data Bundles • Mapping the Way: A starter data bundle is a predefined data stream definition provided by Salesforce. It includes mappings from a data source (including GIS) to the Data Cloud DMO structure. • Customization: While starter bundles serve as a foundation, you can customize them to align with your business needs. Some connectors even offer multiple data bundle options.

• Data Graphs: Visualizing Relationships • Data Graphs: Imagine a visual map that reveals intricate connections between DMOs. Data Graphs allow you to trace related fields, rearrange relationships, and ensure that relevant field data flows seamlessly into AI applications. • Drag-and-Drop Exploration: Like a cartographer rearranging continents, you can drag and drop relationships to create meaningful data paths.

• GIS Use Cases in Data Cloud • Location-Based Marketing: Target customers based on their physical proximity to specific points of interest. Whether it’s a local coffee shop or a national park, GIS data enhances personalized marketing. • Territory Management: Optimize sales territories using GIS insights. Assign reps based on geographic coverage, ensuring efficient coverage and customer engagement. • Spatial Analytics: Uncover patterns, hotspots, and trends. Overlay GIS data with customer demographics, sales data, or service requests to make informed decisions.

• Conclusion Salesforce’s Data Cloud embraces GIS data with open arms. From ingesting streams to visualizing relationships, it empowers businesses to leverage location intelligence. So, whether you’re navigating marketing campaigns or charting sales territories, let the Data Cloud be your compass—a digital atlas guiding you through the spatial landscape. Remember, in the world of data, every point has coordinates, and every relationship has a story. applications.

• Drag-and-Drop Exploration: Like a cartographer rearranging continents, you can drag and drop relationships to create meaningful data paths.

6. GIS Use Cases in Data Cloud

• Location-Based Marketing: Target customers based on their physical proximity to specific points of interest. Whether it’s a local coffee shop or a national park, GIS data enhances personalized marketing.

• Territory Management: Optimize sales territories using GIS insights. Assign reps based on geographic coverage, ensuring efficient coverage and customer engagement.

• Spatial Analytics: Uncover patterns, hotspots, and trends. Overlay GIS data with customer demographics, sales data, or service requests to make informed decisions.

7. Conclusion

Salesforce’s Data Cloud embraces GIS data with open arms. From ingesting streams to visualizing relationships, it empowers businesses to leverage location intelligence. So, whether you’re navigating marketing campaigns or charting sales territories, let the Data Cloud be your compass—a digital atlas guiding you through the spatial landscape.

Remember, in the world of data, every point has coordinates, and every relationship has a story.