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At enterprise scale, Salesforce data is different. Data volumes are large. Data models are more sophisticated. Integrations, regulations, and business processes are much more intricate. All this complexity dramatically increases the risks to your data threatening to grind business to a halt. Odaseva is the only data platform built specifically to help the world`s largest, most ambitious Salesforce customers keep their data protected, compliant, and agile. With Odaseva, Salesforce architects and platform owners get a powerful set of tools to help solve the problems at the foundation of the Salesforce data value chain. Keep customer data intact and available with comprehensive backup and archiving, apply analytics to prevent disruptions before they happen, use automation to take control of the entire data lifecycle and solve privacy and compliance issues at the root, and easily move data between production and non-production environments, to sandboxes, and to systems outside Salesforce.
Ohio Valley Goodwill is a Cincinnati, OH-based company in the Computers and Electronics sector.
Scarlett Group is a Orange Park, FL-based company in the Computers & Electronics sector.
Guardicore is a data center and cloud security company that protects your organization`s core assets using flexible, quickly deployed, and easy to understand microsegmentation controls. Our solutions provide a simpler, faster way to guarantee persistent and consistent security — for any application, in any IT environment.
LiveAction provides unmatched visibility into network and application performance from a single pane of glass. This gives enterprises confidence that the network is meeting business objectives, offers IT administrators full visibility for better decision making, and reduces the overall cost of operations. By unifying and simplifying the collection, correlation and presentation of network and application data, LiveAction empowers network professionals to proactively and quickly identify, troubleshoot, and resolve issues across increasingly large and complex networks.