Business Data Communications Arunabha Mukhopadhayay

Aims to provide knowledge of effective use of data communication tools to facilitate in operational excellence and strategic decision making for an organization. In today’s context telecommunication technologies (such as video-conferencing and VOIP) are the lifeline for any business operating across multiple locations. we also identify the various stakeholders of the teleco eco-system and try to understand the complex relationship they have amongst each other.

Ecosystem –undersea cable providers (SEA-WE-MEA consortium), –incumbent operators (BSNL,MTNL) –competitive operators(Airtel, Reliance, NTTDocomo), – device providers (Nokia), – chip manufacturers (Qualcomm, Intel), –software providers (Google), –content providers, content aggregators, – content delivery networks (Akamai), –internet service providers, –OTT providers (Whatsapp, Skype), – p2p providers (BitTorrent, Kazza) –regulators (TRAI, FCC).

Biz models disruptive innovations (OTT, Android ) aims to shake the telecom industry. delves into the seven OSI network layers and tries to map each layer to a successful biz models used by an organization. traces the evolution of biz models for wireless telephony such as 1G, 2G (GSM, CMDA), 3G, 4G (Wimax, LTE) and 5G. also looks into Indian telecom regulation (NTP 94, NTP 99, NTP 2014, National Broad band Policy), pricing models (TELRIC, LRIC), interconnect charges spectrum auctions and managed services (Airtel- IBM).

Social Applications socially relevant applications of BDC: – tele-medicine –poverty eradication for rural regions. issues like relevance of net neutrality. IT security issues : –IT Sec regulation (HIPAA, PCI-DSS) –post disaster business continuity (BC) –disaster recovery (DR) strategies.

Objective

What is the telecom value chain like? Who owns the customers along the telecom value chain? Which are the potential markets that a Telco should venture in to? Should Telcos outsource their networks and IT infrastructure to the likes of IBM and Nokia- Ericson? Should Telcos diversify to supplement their Average revenue per user (ARPU)?

1.Using analytical models to price services, interconnect charges. 2.How are 3G networks auctioned? 3.How does Linkedin and Akamai use two-sided market strategies to price their customers? 4.How does Telemedicine piggyback on wireless and wired networks to reach out to remote locations?

1.How does chip majors sustain their revenues in the Telecom market? 2.How does disruptive innovations tend to shake the telco market? 3.What are the implications of the local loop unbundling (LLU) to incumbents and local exchange carriers? 4.How should an organization respond post a security breach? 5.How should network capacity be planned?

Evaluation Project : 25% Qz/Assg/Case-studies: 10% Class Participation : 5% 40% Midterm: 20% End-term: 40%60%

Project deliverables Stage 1: A brief outline of the project Stage 2: Final Project document Stage 3: Presentation

Project topics Theme 1 : Web 2.0/Web 3.0 and its business implications Theme 2: How to use DCN techniques to improve business ? –Enterprise mobility –Network capacity planning for an organization –Security techno/policy for an organization –Privacy and trust issues in business communication –Piracy –Critical evaluation of business models for online organizations –Telemedicine –Financial networks –etc etc

Project topics Theme 3 : Information and Communication Technology (ICT) for development Theme 4: e-governance and ICT Theme 5: Developing intelligent networks Theme 6 : Spectrum pricing in India Theme 7: National broadband policy Theme 8: Telecom regulations in India

Project topics Theme 9 : Spectrum pricing in India Theme 10: National broadband policy of India Theme 11: Telecom regulations in India Theme 12: Over the top (OTT) players in India Theme 13: MVNOs in India Theme 14: Disruptive Innovations (Skype, What’s up) Theme 15: Who owns the customers? Theme 16: Femto cells Theme 17: NGN  Convergence Theme 18 : Internet of things Theme 19: Net Neutrality

Methodology Review existing literature Use secondary data or Use primary data (if possible) State your recommendations for improvement