startup success = big data + analytics | cairo innovates 2014

Start-up Success = Big Data + Analytics

Sherif Radi Operations Director | TA Telecom sradi@tatelecom.com

Waleed Zohdy Technical Director | TA Telecom wzohdy@tatelecom.com

“The Game Changer”

Karam Ibrahim OSS & DWH Manager | TA Telecom kiibrahim@tatelecom.com

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