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    Big Data Analytics in Telecommunication

    Posted By: lucky_aut
    Big Data Analytics in Telecommunication

    Big Data Analytics in Telecommunication
    Last updated 2017-11-12
    Duration: 01:00:05 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 226 MB
    Genre: eLearning | Language: English

    Understanding the transformative nature of Big data analytics in Telecommunication service provider domain
    What you'll learn
    Understand the monetisation of Big Data Analytics in Telecom.
    Understand how Telco’s are playing with Big Data Analytics in understanding subscriber behaviour based on internal and external data
    Analyse the transformation of Telecom Industry by Big data analytics. How network performance measurement improves service performance.
    Transformative nature of big data analytics in telecommunication
    Apply some of the Telco practices in other domain like retail, FMCG, Banking.
    A new paradigm of datawarehousing from 'batch' to 'now' analytics in Telecom operators
    Requirements
    Interest in Big Data Analytics
    Time frame to complete the course and come up with questions
    Terms used in Telecom Industry such as CSPs, TSP etc.
    Description
    Telecommunication Industry is fundamentally the backbone of modern digital world.  Needless to say, it is the biggest revolution after industrial revolution of eighteenth century. It is the catalyst to changes the colonial world to a global village. The human has been transformed from a citizen to netizen. Why so? Being the interconnected nature of telecommunication network and evolution from a wireline to wireless network, mobile phone has become more personal than anything. The millennials and Gen-Y has been taken the transformative consumer and enterprise market to a new level using the emerging technology and backbone communication network. Because data flows on telecommunication backbone, Telecommunication industry become  the significant contributor of “Big Data”.  Think of, every object on earth communicating with each other and exchanging data ! The data generated is at a very high velocity is huge in volume and wide variety. But do you know “ WHAT are the sources of Big Data generation in Telecom Industry?”      
    With Big Data Analytics, Telco’s are utilising the gathered data for better business decision making. Multiple Telecommunication Service Providers have been opting multiple techniques to enhance the hidden insights and foresight of Big Data. But do you know “HOW Telco’s are using Big Data tactics to enhance their revenue?”   
    The transformation in Telecommunication Industry by Big Data has discovered the various opportunities (such as network performance monitoring, fraud detection, customer churn detection and credit risk analysis) which help Telco’s to stay ahead in competition. But do you know “WHAT will be the roadmap on Big Data in Telecom Industry?”   
    The course on “Big Data in Telecom” will address all the “Do you Know”. A complete industry relevant course for graduates, BI and data scientist is fusion of Big Data Analytics facts, Telco’s use cases and experienced experts knowledge. You will be exposed to industry specific terms like ARPU, DREC, AON, Customer segmentation, Campaign efficacy etc.     
    The content of course will be periodically updated and regular flow of assignments is ensured to students opting this programme. The lifetime access to all the material anytime anywhere and expert’s consulting for Big Data assignments is an add-on. 
    This course has a total of 23 reviews. Few of the reviews are shown below:
    – "Excellent presentation and content, giving an insight to extend of data availability and management in telecom." 
    – "It creates an interest for me to learn more. Provides great insight to the use of big data in Telecommunications."
    – "Very good course to understand the Big Data concept. Very Good"

    Who this course is for:
    Big Data Professionals looking to explore Telecom Industry
    Anyone preparing for interview in a Telecom company
    Big Data Business Analyst
    Data Scientist
    Marketers using Big Data

    More Info