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Ridgewood Corporate Square,
11900 N.E. 1st Street, Suite 300, Building G,
Bellevue, Washington 98005, United States of America.
Tel: +1 (425) 523-9362
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Data Warehouse Software

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Plum Voice is a hosted communications platform as a service used by medium to large-sized enterprises for automating customer interactions and business processes. Plum Voice powers interactive voice response (IVR), call routing, messaging and voice communications, providing organizations the tools needed to develop, measure and improve voice applications and caller experiences. Simplify the development and deployment of mission-critical voice and messaging applications. The Plum DEV platform enables developers to build voice applications such as customer self-service, or communications-enabled business processes. Plum Fuse provides a visual call-flow editor that allows users to create, modify, or manage the entire lifecycle without any coding knowledge. Plum Insight enables users to create omni-channel surveys for deployment over the phone via IVR, the web or SMS/MMS messaging. VoiceTrends is an analytics toolkit that provides usage and performance analytics for monitoring and optimizing voice applications. The solution is constructed out of purpose-built telephony infrastructure for stability and reliability, and reinforced with leading security and compliance protocols (HIPAA, PCI-DSS, SOC2).

What Is Data warehouse software?

Data warehouse software acts as the central storage hub for a company’s integrated data that is used for analysis and future business decisions. The integrated information within data warehouses comes from all branches of a company, including sales, finance, and marketing, among others. Each of these departments may have its own repository for singular, specific, and relevant information, which are known as data marts. Data warehouses can be built in two ways. The first is a top-down design, which collects all data from the company at a granular level and then allocates the data to specific data marts. The other is a bottom-up approach, where the data marts are created first and then later combined to form a complete data warehouse.

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