digital control center - daks2k3a4ib2z.cloudfront.net... · • development of dashboards for tv...

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Telecommunication Development of a digital control center for real-time feedback and prognosis For a globally operating, highly profitable telecommunication corporation, comSysto is developing a software product that generates decisive KPIs for analysts. Data are collected from various sources and prepared for decision-making processes. Requirements Fast evaluation of new ideas and data sources Generation of important information for web analysts Creation of relevant KPIs for various business units Development of dashboards for TV screens at several locations Development of a desktop and a mobile application Technologies Infrastructure: AWS (EC2, Elastic Beanstalk, EMR), Docker, Ansible Data Engineering: MongoDB, Spark, EMR Data Science: R, Spark Web: AngularJS, D3, SASS, Bootstrap, NodeJS, ExpressJS, REST, OAuth2 Test automation: Jenkins Continuous Delivery: Docker, Ansible, Jenkins Procedures and Methods Kanban Rapid prototyping Fast minimum-viable-product iterations Xtreme programming Advanced Analytics/Data Science Construction of features and impact evaluation in machine learning models Data preparation and imputation Time-series analysis for smart KPI monitoring Creation of a warning system and identification of influence factors Prediction of customer behaviour using non-linear regression Monitoring of the performance of machine learning models comSysto GmbH Tumblingerstraße 23 | 80337 Munich | [email protected] | Tel.: +49 89 550 60 588 | Fax: +49 89 550 60 590 Managing Directors: Daniel Bartl and Tomislav Zorc

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Page 1: Digital control center - daks2k3a4ib2z.cloudfront.net... · • Development of dashboards for TV screens at several locations • Development of a desktop and a mobile application

Telecommunication Development of a digital control center for real-time feedback and prognosis For a globally operating, highly profitable telecommunication corporation, comSysto is developing a software product that generates decisive KPIs for analysts. Data are collected from various sources and prepared for decision-making processes. Requirements

• Fast evaluation of new ideas and data sources • Generation of important information for web analysts • Creation of relevant KPIs for various business units • Development of dashboards for TV screens at several locations • Development of a desktop and a mobile application

Technologies

• Infrastructure: AWS (EC2, Elastic Beanstalk, EMR), Docker, Ansible

• Data Engineering: MongoDB, Spark, EMR • Data Science: R, Spark • Web: AngularJS, D3, SASS, Bootstrap, NodeJS, ExpressJS, REST,

OAuth2 • Test automation: Jenkins • Continuous Delivery: Docker, Ansible, Jenkins

Procedures and Methods

• Kanban • Rapid prototyping • Fast minimum-viable-product iterations • Xtreme programming

Advanced Analytics/Data Science

• Construction of features and impact evaluation in machine learning models

• Data preparation and imputation • Time-series analysis for smart KPI monitoring • Creation of a warning system and identification of influence

factors • Prediction of customer behaviour using non-linear regression • Monitoring of the performance of machine learning models

comSysto GmbHTumblingerstraße 23 | 80337 Munich | [email protected] | Tel.: +49 89 550 60 588 | Fax: +49 89 550 60 590

Managing Directors: Daniel Bartl and Tomislav Zorc