Microsoft Azure Blob Storage Connector Example
You work in sales operations and want to score leads to drive higher sales for your organization. You need to bring in leads from Salesforce to Microsoft Azure Storage. You can score leads for sales readiness in Microsoft Azure Machine Learning, and then load the lead scores back into Salesforce. You can keep data up to date with the latest leads and lead scores by scheduling a task flow to run on a regular basis.
You have leads in Salesforce, with data such as the contact information, industry, company size, and marketing information.
You configure a Data Synchronization task to insert leads from Salesforce to Microsoft Azure Blob Storage. Use Microsoft Azure Machine Learning to score the leads, and then create another data synchronization task to load the lead scores into Salesforce.
You create a task flow so that the data synchronization tasks run serially on a schedule. The sales organization can see the most current lead scores for prospects, and focus on the most promising leads, increasing efficiency.