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Data Services - Diaspark Inc

Reporting, Data Warehousing, Business Intelligence, Big Data, Internet of Things.

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Data Services - Diaspark Inc

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  1. A leading US based departmental store chain A comprehensive Asset Management Software Platform for renewable energy Business critical applications | Application performance management solution | Distributed computing environment Contracts & Warranty Administration | Compliances | O&M Management | Procurement & Inventory | Unified Monitoring | Energy Modelling and Analytics | Financial Reporting. Pain Points & Limitations Pain Points & Limitations • Highly distributed and bulk in volume data across over 500 outlets • Inability to manage and monitor multiple equipment and monitoring systems from multiple data sources • No common dashboard to stakeholders because of multi format data (e.g. MySQL, Intersystem Cache and SNMP) • Data Integration was essential to maintain huge data volume at high frequency, 1800+ Projects, 4000+ equipment, 5 to 15 Min Interval, huge data added every month • Decreasing operational efficiency of stores due to improper monitoring and delay in problem resolution • Poor analytics due to incompetency in generating various real time reports such as PV & Financial portfolio, online monitoring, alerts, performance and core analytics • No centralized monitoring of network utilization, bandwidth utilization, WAN utilization, DSL data transfer etc. Read for solution>> Read for solution>> Business Intelligence Internet of things Big Data Data Warehousing Reporting A prestigious Infrastructure Service Provider Largest provider of alternative small business financing US based media and education group | Personalized tools| Social learning environment | Poor back-end system Trusted leader in small business financing| Cash advances and direct funding| Retailers, wholesalers and ecommerce vendors| Corporate franchisees Pain Points & Limitations Pain Points & Limitations • Poor backend system, Current Maintenance and future enhancements added up to the cost • Multiple formats, multiple legacy systems and huge volume of data called for high maintenance • Multi-format database and unsynchronized content • Need for up-to-date real time reports from business sides were not being met • Existing system supported only 12 concurrent users and database did not supported Unicode • Poor trend analysis left no scope for better operational functionalities • Server latency and delayed performance was affecting firm’s operations on a large scale Read for solution>> Read for solution>> Business Intelligence Data Warehousing Data Warehousing

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