startup success = big data + analytics | cairo innovates 2014
TRANSCRIPT
Start-up Success = Big Data + Analytics
Sherif Radi Operations Director | TA Telecom [email protected]
Waleed Zohdy Technical Director | TA Telecom [email protected]
“The Game Changer”
Karam Ibrahim OSS & DWH Manager | TA Telecom [email protected]
Do you consider data as a core asset?
Treat data as a core asset
“My Organization treats data as a core asset”
Strongly agree Somewhat agree 11%
6% 35%
15%
35%
51%
Analytically Challenged
Analytical Practitioner
Analytical Innovators
What is Big Data?
BIG DATA
Volume Velocity Variety Veracity Data Size Speed of change Different forms
of data sources Uncertainty
of data
small BIG Volumes < 100TB Volumes in petabytes
Mostly internal Often external
Structured in rows & columns
unstructured - text, voice, video, images, etc
Slow moving Continually flowing
Vs.
Why Big Data?
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
How to start?
Big data adoption Process
Educate Explore Engage Execute
Where to start?
On Premises (Local Servers)
Cloud (Dedicated hosting)
BDAAS (Big Data As A Service)
Secure
Great control
Complex Scalability
Output will take time
Needs high cost at the beginning
Used for Live environment
Moderate Security
Great control
Highly Scalable
Output will take time
Average Cost
Good for POCs & Live
Insecure
Less control
Highly Scalable
Quick output
Expensive on the long run
Good for POCs & Live
Big Data landscape
Sentiment analysis
Sentiment analysis
Posi%ve Sen%ment: 47% Nega%ve Sen%ment: 1%
Big Data & Analytics Example
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
Information Area “A” Area “B”
Planned Actual Planned Actual
Number of calls/day 2400 1800 2400 2700
Bandwidth (GB) 40 45 40 36
Information Area “A” Area “B”
Number of CS Agents 15 25
Bandwidth(GB) 45 36
Thank You