Like most corporations with places of work all over the world, GE Healthcare depends on a number of databases to gather and preserve important enterprise info. A few of these are personalized to satisfy distinctive native laws and reporting necessities; others are embedded so deeply in associated programs and operational processes that it doesn’t make enterprise sense to consolidate them.

For instance, the industrial facet of the enterprise, the place I work, makes use of Salesforce for buyer relationship administration, Aptuus to handle our USCAN citation course of, Oracle, PeopleSoft, and different instruments for enterprise useful resource planning—and people are simply the most important.

Use Case

Previous to Domo, once we wanted a report on the state of the enterprise for Working Evaluations—whether or not it was income, backlog, precise to estimated efficiency, or worker metrics—we might export all of the related databases—many 1000’s of strains lengthy—filter out the mass of irrelevant element, after which pull collectively and format the knowledge we would have liked. It was so time-consuming that the relevance of the info or enterprise concern may expire by the point the report was full.

Domo helped us resolve our reporting drawback with out a gigantic rip-and-replace of all our databases worldwide. We use quite a lot of interfaces to create our datasets together with Domo connectors, Magic ETL, and SQL dataflows to drag within the knowledge we want, normalize and deduplicate it right into a single supply of fact, after which use Domo’s wonderful presentation instruments to customise a view that helps our viewers perceive it.

Conclusion

We will now run experiences once we want them and full them whereas they’re nonetheless related to the enterprise. The most important influence has been in our inside income experiences, the place we’ve eradicated duplication for a a lot clearer image of the place we stand.