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When Salesforce bought Mulesoft last spring for the tidy sum of $6.5 billion, it looked like money well spent for the CRM giant. After all, it was providing a bridge between the cloud and the on-prem data center and that was a huge missing link for a company with big ambitions like Salesforce.
When you want to rule the enterprise, you can’t be limited by where data lives and you need to be able to share information across disparate systems. Partly that’s a simple story of enterprise integration, but on another level it’s purely about data. Salesforce introduced its intelligence layer, dubbed Einstein, at Dreamforce in 2016.
Mulesoft - Fold - Access - Cross - Systems
With Mulesoft in the fold, it’s got access to data cross systems wherever it lives, in the cloud or on-prem. Data is the is the fuel of artificial intelligence, and Salesforce has been trying desperately to get more data for Einstein since its inception.
It lost out on LinkedIn to Microsoft, which flexed its financial muscles and reeled in the business social network for $26.5 billion a couple of years ago. It’s undoubtedly a rich source of data that the company longed for. Next, it set its sights on Twitter (although Twitter was ultimately never sold, of course). After board and stockholder concerns, the company walked away.
Forays - Data - Salesforce - Board - Mulesoft
Each of these forays was all about the data, and frustrated, Salesforce went back to the drawing board. While Mulesoft did not supply the direct cache of data that a social network would have, it did provide a neat way for them to get at backend data sources, the very type of data that matters most to its enterprise customers.
Today, they have extended that notion beyond pure data access to a graph. You can...
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