TA Telecom's workshop at Cairo Innovates 2014

1. Start-up Success = Big Data + Analytics
Sherif Radi
Operations Director | TA Telecom
sradi@tatelecom.com
“The Game Changer”
Waleed Zohdy
Technical Director | TA Telecom
wzohdy@tatelecom.com
Karam Ibrahim
OSS & DWH Manager | TA Telecom
kiibrahim@tatelecom.com

2. Do you consider data
as a core asset?

3. Treat data as a core asset
“My Organization treats
data as a core asset”
6% 35%
Strongly agree
Somewhat agree 11%
15%
51%
35%
Analytically
Challenged
Analytical
Practitioner
Analytical
Innovators

4. What is Big
Data?

5. BIG DATA
Volume Velocity Variety Veracity
Data Size Speed of change Different forms
of data sources
Uncertainty
of data

6. small BIG
Volumes < 100TB Volumes in petabytes
Mostly internal Often external
Structured in rows &
columns
unstructured - text, voice,
video, images, etc
Vs.
Slow moving Continually flowing

8. Why Big
Data?

9. What’s in it for you?
ü Product innovation
ü Fast experimentation and A/B testing
ü Better customer segmentation
ü Enhanced customer proposition
ü Maximize resources productivity
ü Controlling costs

10. How to
start?

11. Big data adoption
Process

12. Educate Explore Engage Execute

13. Where to
start?

14. On Premises
(Local Servers)
Cloud
(Dedicated hosting)
BDAAS
(Big Data As A Service)
Used for Live environment
Needs high cost at the
beginning
Output will take time
Complex Scalability
Great control
Secure
Good for POCs & Live
Average Cost
Output will take time
Highly Scalable
Great control
Moderate Security
Good for POCs & Live
Expensive on the long run
Quick output
Highly Scalable
Less control
Insecure

15. Big Data
landscape

17. Sentiment
analysis

19. Sentiment analysis
Posi%ve
Sen%ment:
47%
Nega%ve
Sen%ment:
1%

21. Big Data & Analytics
Example

23. Information Description Area “A” Area “B”
Agents Number of call center agents per day working for this area 20 20
Calls/hour Number of calls taken by an agent per hour 5 5
Call duration Average duration of a call taken (in minutes) 10 10
Shifts Working hours in a shift (in hours) 12 12
Total calls/day Actual number of calls taken by all agents per day 1800 2700
Bandwidth Bandwidth assigned to that area (in GB/sec) 50 50
Clients Number of clients subscribed with that area 200,000 250,000
Planned Avg/client Average expected bandwidth usage per client (in KB/sec) 200 165
Actual Avg/Client Average actual usage per client (in KB/sec) 230 150
ARPU Average Revenue Per User 50 40

25. Information Area “A” Area “B”
Planned Actual Planned Actual
Number of calls/day 2400 1800 2400 2700
Bandwidth (GB) 40 45 40 36

27. Information Area “A” Area “B”
Number of CS Agents 15 25
Bandwidth(GB) 45 36

28. Thank You