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IT Services


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Signetsoft collaborated with SAS to help design, build and implement a data driven application that estimated long term (two years) electrical usage of commercial facilities to establish appropriate levels of pricing and electrical generation. Commercial facilities are assigned to a cohort according to the patterns of their historical energy usage. Future energy usage is estimated by projecting the associated pattern into the future while adjusting for reactions to long-term weather forecasts. Signetsoft was responsible for the development and automation of extensive ETL processes for long term estimation of commercial electrical usage, system development, system automations and risk modeling.

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Signetsoft customized a Content Management System for the redesign of a non-profit organization with about 10,000 members. The new dynamic website was well-organized, aesthetically pleasing and rich in functionality. Functions included registration, a forum, a blog, news submission by users, document management, galleries and a powerful search engine. More importantly, the content management system allowed non-technical staff to work on the website without having to understand HTML and programming, thus ensuring the timely posting of news articles and press releases as well as other important information.

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Signetsoft designed and implemented a self-paced e-learning system called STEPS Toolkit. The web-based system is designed for use by health care professionals of the NGOs in Latin America, Africa and Asia. The e-learning application allows learners to log in and study the module content according to the user profile they select. At the center of the module material is a complex form called Integrated Monitoring and Evaluation Tool. Learners are required to fill out a portion of the form as they go through each module. By the end of the last module, they will have completed the entire form, thus having built their capacity for program evaluation. A CD-ROM version was also created for users without Internet connections. Currently only English and Spanish versions are available.

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Signetsoft was contracted to serve Centers for Medicare and Medicaid Services (CMS) in Medicaid fraud detection and research. The task included investigating, collecting and designing algorithms for fraud detection, waste and abuse as well as building a library of best practices for long-term fraud detection efforts at the federal level. The project helped improve federal health care services, impact states and Medicaid benefits beneficiaries.

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Signetsoft designed and implemented a web-based data-driven application that measured the billion dollar acquisitions and department level performance of a major government agency within DHS. The results are used daily by the senior management and officers through a “drill-down”, multi-page, color-coded Internet interface. The process updates over 200 metrics automatically as new data becomes available. Exception reports are automatically generated and the system notifies the user of unusual activity by email. Advanced coding techniques were used to work around issues with the new technology. Signetsoft used Strategic Performance Management (SPM), SAS® Business Intelligence Suite, Information Delivery Portal, Web Report Studio, OLAP Cube Studio, Information Map Studio and SAS Management Console on SAS V9.13 Platform.Signetsoft designed and implemented a web-based data-driven application that measured the billion dollar acquisitions and department level performance of a major government agency within DHS. The results are used daily by the senior management and officers through a “drill-down”, multi-page, color-coded Internet interface. The process updates over 200 metrics automatically as new data becomes available. Exception reports are automatically generated and the system notifies the user of unusual activity by email. Advanced coding techniques were used to work around issues with the new technology. Signetsoft used Strategic Performance Management (SPM), SAS® Business Intelligence Suite, Information Delivery Portal, Web Report Studio, OLAP Cube Studio, Information Map Studio and SAS Management Console on SAS V9.13 Platform.


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