Your SlideShare is downloading. ×
0
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Market Potential For Data Products
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Market Potential For Data Products

854

Published on

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
854
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
31
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. MARKET POTENTIAL FOR DATA PRODUCTS Prepared & Presented By, Deval Naik MIT SOT Project Guide, Dr. Milind Pande MIT SOT-Project Director
  • 2. About Bharti Group “To build India's finest business conglomerate by 2020” • Founded: 7th July, 1995 • Chairman and M.D.: Sunil Mittal • Total Revenue: $ 10 billion(in 2009) • Employees: 25,543(in 2009) • Market share in voice services: 21.34% • Total number of subscribers : 133,220,882 1.3 billion Voice 0.3 billion Data “ 1st in India ” “ 3rd largest in the world ”
  • 3. Objective • Primary Objective: • To find out the market potential of Data Products for SOHO segment and Medium scale organizations • To find out the factors influencing the buying decision of data products • Secondary Objective: • To find out the need of data products
  • 4. PRODUCT LINE
  • 5. Products offered by Airtel Telemedia Services Ltd. • Internet Leased Line • Broadband • Multiprotocol Label Switching • Virtual Private Network • Broadband-Virtual Private Network • Audio Conferencing • Video Conferencing • Very Small Aperture Terminal • International Private Leased Circuit • National Long Distance Leased Line • Point to Point • Point to Point-Radio Frequency
  • 6. RESEARCH METHODOLOGY
  • 7. Collection of company’s detail Target market segmentation Preparing questionnaire Collection of raw data Survey work Analysis of the raw data Findings & Suggestions 10 days 25 days 10 days
  • 8. Gnatt Chart Network Diagram
  • 9. FINDINGS
  • 10. Market share in Pune 1% 2% 4% 3% 2% 14% Aircel Airtel BSNL Hathway NetForIndia Reliace Reliance 30% 21% Sify STPI Tamika Tata Tulip Utelecom 0.52% 5% Verizon 0.52% 2% 12% 3% 1% VSNL
  • 11. Existing Market in Pune (in ` ) ? ?
  • 12. Data products which organization uses 0.49% 0.49% 0.49% 12% 3% 12% 39% AC Broadband ILL MPLS VC VPN 34% WiMax Wireless
  • 13. Earnings by Company 2,50,00,000 2,00,00,000 1,50,00,000 1,00,00,000 50,00,000 0
  • 14. Satisfaction level for the Data products of the Organization 10% 3% 2 3 31% 4 5 2- Less 56% 3- Moderate 4- Good 5- Very Good ?
  • 15. Factors which organizations considers while purchasing data products 1% 11% 9% Price Service Speed Uptime 79%
  • 16. Reason NOT to shift to Airtel Telemedia Services Ltd. 17% Existing Customer 55% 4% 6% 10% High Cost Not aware Not good service Performance Present contract Satisfied with existing 8% 0.64% ? ? ? ?
  • 17. SUGGESTIONS
  • 18. Suggestions • Sign SLAs to increase connectivity • Good brand in voice for that no one wants to pay extra money for data products • Redefine the definition of potential customers • Increase connectivity in remote areas • Balance uploading and downloading rate ratio of customer • Restructure the billing plans
  • 19. LIMITATIONS
  • 20. Limitations • Data is based on employee’s personnel experience. • Answers are based upon employees’ understanding of question. • Graphs are based on SOHO and medium scale companies requirements. • Data which is provided by employees’ can be biased.
  • 21. THANK YOU

×