Big Data Fundamentals
Course Duration and Training Format: 3-day course, Instructor-led training Pre-requisite for Participants: Should have basic knowledge of business operation and data systems in Telecom in their domain Must have basic understanding of SQL/ Oracle or relational database Basic understanding of Statistics (in Excel levels) Who Should Attend? Network operation, Financial …
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Customer Experience Management (CEM) and Big Data Analytics
Course Objectives: The goal of this course “Customer Experience Management (CEM) and Big Data Analytics” which help to reverse Service providers are seeing decreasing revenues and increasing customer churn against a back drop of rising network infrastructure expenditure dangerous and destructive spiral. Telcos can make use of the data generated real …
Read MoreNetwork Analytics – KPIs & Process Management
Course Objectives: The goal of this “Network Analytics – KPIs & Process Management” course is to maiximise the benefits brought about by the co-existence of technology and management. Standing at the intersection of Cellular Operations and Business Management, one is likely to find that one needs people who are skilled …
Read MoreBig Data Analytics for Telecom Regulators
Course Overview: To meet compliance requirements of telecommunications regulators, CSPs ( Communication service providers) can tap into Big Data Analytics which will not only help them meet compliance requirements but also increase customer satisfaction and hence reduce churn. Since compliance is related to Quality of Service that is spelled out …
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BIG DATA Analytics for Telecoms Professionals
Course Objectives: This course addresses the strategic intent of telecom operators for leveraging big data. It provides a big picture of the various Big Data ecosystem tools and platforms and helps you understand how it is different from traditional data analytics. It will also touch on the various predictive and …
Read MoreBig Data – Modeling, Technology and Architecture
Course Overview: Today companies have the capability to collect large amount of data. Handling large amount of data requires new technologies that are able to collect, cleanse, process and store effectively significant amount of information. Many companies reached the conclusion that not using this collected data is actually losing large …
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