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Solve It Stories - Odaseva

Learn how Odaseva helped their customer Schneider Electric manage their data effectively.

SOLVE IT STORIES TALES OF CUSTOMER SUCCESS FROM OUR PARTNERS How Odaseva helps Schneider Electric take full control over their Salesforce data. THE CHALLENGE Schneider Electric is a Fortune 500 energy management and automation company. In 2010, Schneider Electric replaced more than 100 legacy systems with a single Salesforce org. This was the outcome of a sweeping organizational strategy to streamline customer, partner, and employee experiences across every global region, business unit, and offering. Early on in its journey, Schneider learned that realizing its bold vision required a new way of thinking about customer data. To meet its goals and keep the system sustainable, Schneider needed to make its Salesforce data as manageable and reliable as on-premises data. Odaseva looks at data from a more THE OPPORTUNITY holistic perspective, including our data Businesses often need a way to securely manage large, rapidly model, data flows, and processes. growing data volumes without slowing down their users while That’s why Odaseva is such an effective delivering speedy, effective service to every customer. partner to help our Salesforce environment become more resilient, compliant, stable, and high-performing. HOW DO THEY ... With Odaseva, it’s much easier to use our customer data to improve · Eliminate data losses before they happen and ensure they never everything we do. lose more than 15 minutes worth of Salesforce data? Anil Kumar Sistla · Develop the capability to restore their entire data model, PLATFORM LEAD, SCHNEIDER ELECTRIC including objects with as many as 50 parent-child relationships? · Guarantee their Salesforce data practices respect industry regulations and meet the highest standards for security? · Manage large, rapidly growing data volumes without slowing down any of their tens of thousands of users? · Empower its Center of Excellence to freely and securely move data between environments, fill data lakes, test new applications, and deliver new improvements at full speed?

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