Exploring the Salesforce Data Integration Landscape | Salesforce Ben

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Share this article…In today’s data-driven world, organizations strive to build a comprehensive Customer 360 view to gain valuable insights and deliver personalized experiences. Salesforce, as a leading customer relationship management (CRM) platform, offers powerful tools to manage customer data. However, to achieve a complete view… Read More …

Here are highlights from article Exploring the Salesforce Data Integration Landscape | Salesforce Ben

1. The Salesforce Data Integration Landscape:
– Two deciding factors for evaluating integration partners: time to implementation and complexity
– Divide integration players into two major groups: enterprise solutions and modern solutions

2. The Enterprise Solutions:
– Well-known names in the integration space: Jitterbit, snapLogic, Informatica, Mulesoft, Talend
– Perfect for large enterprise companies seeking a complete data platform layer
– Offer a wide range of capabilities but come with a significant total cost of ownership (TCO)
– Lengthy implementation times and inherent complexity require dedicated IT team and external consultants

3. The Modern Solutions:
– Newer to the market, cloud-native solutions designed for user-friendliness and ease of use
– May not offer the full suite of product offerings like enterprise solutions but excel in data integration use cases
– Can be up and running within days or weeks, depending on complexity
– Can be utilized by a wide range of teams, eliminating the need for reliance on core IT

4. Enterprise Solutions vs. Modern Solutions:
– Choosing the right solution depends on specific business requirements
– Enterprise solutions make sense if there are diverse data requirements, comfortable with long implementation time, have dedicated IT team, and budget available
– Modern solutions are better suited for organizations with simpler integration needs, shorter implementation time, and limited budget

5. Considerations for Choosing the Right Solution:
– Evaluate data requirements and use cases
– Assess implementation time and complexity
– Determine available IT resources and budget
– Consider the need for a comprehensive data platform vs. specific data integration use cases

You can read it here: https://sfdc.blog/UfPco

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