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eQ Technologic

eq-technologic.com

Market Segment: Enterprise Software Infrastructure Platform
Linkedin: eQ Technologic LinkedIn Company Profile
Estimated Revenue: $50M
Estimated Employees: 500
Address: 500 OFFICE CENTER DR, Fort Washington PA
Description: eQ Technologic, Inc. (eQ) based in the Orange County, CA, offers a platform for Enterprise Software Infrastructure, eQube. eQube has multiple offerings in the market: eQube-BI for organization-wide Business Intelligence and eQube-MI for application migration, synchronization, and integration. Other offerings: eQube-TM and eQube-DP provide core capabilities for modeling systems in support of application migration / integration, cube migration, and for data quality assessment / repair. eQube-BI is a revolutionary solution for Rapid-BI. It has unprecedented ability to rapidly collate, synthesize, and aggregate data from disparate systems in a single cube for actionable analysis. Due to its underlying open, flexible, and scalable architecture; its inherent in-memory analytics capability, and its in-context BI capability, it effectively addresses the challenges of Big Data analytics. eQube-MI acts as an Enterprise services bus to efficiently address complex application migration & integration, master data management, and enterprise-wide work-flow facilitation challenges. eQube has been well received by over 200 world-wide customers; industries include: Aerospace & Defense, Automotive, High-tech, and CPG among others. Key customers include Lockheed Martin (F-35), Red Bull Technologies, Baxter, Northrop Grumman, Boeing, L-3, ATK, General Dynamics, BAE Systems (MAI-Typhoon, Marine-Successor), P&G, Siemens AG, Intel, Visteon, MTU, Honeywell, Rolls-Royce, Dyson, etc. eQs customers are adopting eQube platform based solutions because the various eQube offerings individually and collectively address core business issues for its customers, such as: BI in PLM, organization-wide BI (in-memory analytics leading to Big Data analytics), application synchronization for orderly migration of legacy systems, data quality assessment / repair, and enterprise integration bus for master data management among others.
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