Informatica Tackles Data Quality Issues on Salesforce Commerce Cloud

2 min read

Informatica was at the big Salesforce.com Dreamforce conference this week showing off two services it says will make cloud-based apps work more effectively.

The new Informatica Cloud Data Quality for Salesforce is designed specifically for the Salesforce‘s customer relationship management software-as a service platform, but there are other versions that work on both the cloud and more traditional on-premise data systems. The second announcement is the availability of Informatica Product 360 for the new Salesforce Commerce Cloud, a digital commerce platform.

While Commerce Cloud was only recently announced, it’s essentially the Demandware Commerce Cloud that Salesforce acquired through the purchase of Demandware for $2.8 billion in June.

Informatica was a certified partner of Demandware prior to its sale and has been working in the Salesforce ecosystem for ten years.Nagesh Kanumury, director of product management at Informatica, says Product 360 addresses issues that come up as enterprises have come to rely on multiple clouds and on-premise systems to archive and analyze data.

“The problem customers have is that you can’t be managing information that’s in multiple silos. If you can make it available anywhere, that gives you a shorter time to react to changes in the market and your competition,” Kanumury told eWEEK Product 360 Commerce Cloud gives customers a single vendor solution to accessing commerce-related product data and customer data from multiple sources within a Salesforce environment.

“The chances that a company has all of its data  in Commerce Cloud [are] extremely thin,” says Kanumury. “As companies go through their digital transformation journey they still have an ERP system and there are typically other data sources including the supply chain that needs to be reconciled.

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.