AgentExchange App Analytics Best Practices

To plan and maximize your AgentExchange App Analytics query strategy, follow our best practices. First, use file compression to reduce your data results file size. Second, schedule and automate your regular App Analytics queries. Third, plan, schedule, and automate catch-up queries to supplement your regular query data.

• How Does AgentExchange App Analytics Data Flow?

  As your customers use your managed packages, they produce data. Their usage data is collected daily in our data lake from each Salesforce instance. Usage data arrives to our data lake throughout the day. From time to time, there can be data arrival delays. Also, data builds and timestamps vary by data type. For these reasons, to optimize your data retrieval, plan out your AgentExchange App Analytics query strategy.

• How Should I Plan My App Analytics Query Strategy?

  Your detailed query strategy depends on the size and scope of your business and the data types that you’re querying.

• Recommendations

  Your query strategy varies based on your business size and scope. Also, your query strategy must adapt as your business grows. To stay current, follow our App Analytics query recommendations for small, medium, and large-sized partners.

• Where Do I Go for More Information About AgentExchange App Analytics Queries?

  Questions are natural when you start automating your queries and planning your query strategy. To find a good solution when you have questions, review your code base and the size and skill of your development team.