africa outsource day two arindam bose
TRANSCRIPT
Africa as an Attractive Outsourcing Destination
Why Bother?
What will we gain?
Can we ever achieve it?
Africa Outsource Summit 2008
Employment with Dignity
Agenda
Recap of Yesterdays Presentation
Diversity and Commonality in Africa
Methodology and Data Sources
Infrastructure findings and remarks
People and Skills findings and remarks
Business Environment findings and remarks
Overall Outsourcing Attractiveness Score
Recap of Yesterdays Presentation
How does a country become an
attractive Outsourcing destination?
Political
Economic
Society
Technology
Conditions, situations and trends
leading to the confidence of the
Global Industry
Diversity and Commonality in Africa
Diversity
The Gross national Income per capita, Population,
Population density, un-employment poverty and other
major characteristics are so very diverse and at times
seemingly contradictory. All possible combinations are
there across these fifteen nations namely:-
Low GDP* and Low Unemployment**: Egypt, Morocco,
Tanzania, Uganda,
Ghana, and Zambia.
High GDP and Low Unemployment: Mauritius, Nigeria,
Tunisia
Low GDP and High Unemployment: Kenya, Mozambique,
Senegal
High GDP and High Unemployment: Botswana, South Africa,
Namibia
* GDP less than USD 2000 ** Unemployment less than 20%
Overview of African Countries
Unemployment
Commonality: Limited Connectivity
Connectivity expected by 2011
Methodology
Research Frame Work
Lower Level
Abstraction
Sub aspects of the
abstraction, flows from
the top
Detailed Data Parameters and
Operational Variables (DDP’s)
Variables actually
measure the entities
on the basis of defined
scale
Scale
Measurement
Abstraction
A multi-faceted concept,
which can not be directly
measured
Constructs, Sub-Constructs, Major
Data Points (MDP’s)
Specific measurable
aspects, more clear than
abstraction but still broad
Abstraction Level
Multi-faceted observations, which cannot
be directly measured; aspects important
in attracting a potential investor to the
country (Country reports)
Country Political & Economic Profile
Principal Government Officials
Foreign Relations
Living, Security and Safety perceptions
Abstraction Level
ICT and BPO Industry Environment
Human Resource Efficiency and Cost
Investment Policy and incentives
Labour & Expatriate workers permits
Revenue, Tax & Repatriation issues
Investment Policy and incentives
Government Agencies giving support
to Outsourcing
Data Sources for Abstraction Visit and Interviews to countries who invited
the Research Team
Correspondence with Countries who responded
Data provided in the Country's InvestmentPromotion Literature
US Department of State country overview andtravel alerts providing a snapshot of Political,Economic, Social and Security Scenario of thecountry
FDI.net maintained by World Bank GroupsMultilateral Investment Guarantee Agency
Web sites and tools maintained by the WorldAssociation of Investment Promotion Agencies –
Data Sources for Quantitative Analysis
Same data source and Time line used for a particular data parameter for each
country
World Economic Forum Global IT and Competitiveness Reports. (2008)
Word Bank ICT and Data Indicators (WDI) and African Development indicators 2006/2007/2008
United Nations Development Programme Human Development Report 2008
CIA Fact Sheet 2008
Knight Frank 2007 Africa Property Research Report
Detailed Data Points
a) Rating Scores representing the result of any extensive
survey and study conducted by recognised board like
World Economic Forum’s Global Information Technology
Report or Global Competitiveness Report, the United
Nations Human Developments Reports. Such scores are
in a index of 1 to 10, 1 to 7 or 0 to 1.
b) Absolute values of data like number of procedures to
start a business, total tax as a percentage of profit (World
Bank Doing Business Report or International Internet
Bandwidth (Bits per person).
The final score of a country arrived after addingthe weighted average score of ‘Detailed DataPoints’ after normalising on a scale of 1 to 10.Thus scores for the ‘Detailed Data Points’ aredetermined as follows:-
a) All rating scores in the range of 0 to 1, 1 to7 or 1 to 10 are normalised proportionatelyto a range of 1 to 10 across all thecountries.
a) All data in the form of absolute values arenormalised using a formula.
Normalisation of Data
Normalisation Formula
Score = 1+ ((LOG10 (Actual Value) - LOG10 (Min Value)) /
(Log10 (Max Value) - LOG10 (Min Value)))*9
Calculation
The calculations are done
as follows-
a) ‘Detailed Data Point’ Score =
the normalised value of the
data as per the rule and
formula.
b) ‘Major Data Point’ Scores =
Average of contributing
‘Detailed Data Point’ Scores.
c) ‘Construct’ Scores =
Weighted Average of
contributing ‘Major Data
Points’ Scores.
d) ‘Lower Level Abstract’ Score=
Weighted Average of
contributing ‘Constructs’
Scores.
‘Detailed Data Points’ Score
‘Major Data Point’ Scores
‘Construct’ Scores
Lower Level
Abstraction
Infrastructure – Rankings and Scores
Overall ‘Infrastructure Readiness Score’
The ‘Infrastructure’ lower level abstraction
Score is calculated as per the detailed
framework and the normalisation.
The Countries with an Infrastructure Score
greater than 6.5 are placed in the ‘Ready’
band.
The Countries with an Infrastructure Score
between 5.5 and 6.5 are placed in the
‘Upcoming’ band.
The Countries with an Infrastructure Score
less than 5.5 are placed in the ‘Yet to be
ready’ band.
Infrastructure - Rankings and Scores (Lower Level Abstraction)
People & Skills – Rankings and Scores
People & Skills – Ranking and Scores(Lower Level Abstract)
People and Skills Score
Emerges from parameters
related to Availability,
Suitability &HR Costs and is
based on the following
MDP’s
Quantity & Working
Satisfaction
Quality, ICT Exposure and
Education, Language
&Domain Skills
Personnel Compensation
& Cost of Living
People & Skills
Ranks Country Score
1 Egypt 3.620
2 Ghana 3.543
3 South Africa 3.491
4 Tunisia 3.447
5 Mauritius 3.385
6 Botswana 3.215
7 Morocco 3.173
8 Kenya 3.009
9 Uganda 2.964
10 Tanzania 2.948
11 Namibia 2.933
12 Zambia 2.884
13 Nigeria 2.879
14 Senegal 2.867
15 Mozambique 2.640
Business Environment – Scores and Rankings
Business Environment – Scores and Ranking
(Lower level Abstract)
Business Environment Scores
emerge from Political,
Economic
Social and Technology and is
made up of the following MDP’s
Business Environment
Index
ICT Industry Attractiveness
Economic Outlook
Risk Parameter
Tax & Financial Incentives
Business Environment
Ranks Country Score
1 Mauritius 3.695
2 Egypt 3.558
3 South Africa 3.486
4 Nigeria 3.419
5 Botswana 3.357
6 Tunisia 3.326
7 Morocco 3.261
8 Zambia 3.026
9 Namibia 2.976
10 Senegal 2.927
11 Kenya 2.813
12 Ghana 2.781
13 Tanzania 2.735
14 Uganda 2.713
15 Mozambique 2.711
Overall Outsourcing Attractiveness
Score
Overall ‘Outsourcing Attractiveness Score’
People & Skills and Business Environment Scores:
‘People & Skills’ lower level abstraction Score is
calculated as per the detailed framework and the
normalisation.
‘Business Environment’ lower level abstraction Score
is calculation method indicated above.
Overall Outsourcing Attractiveness Scores and Rank:
The ‘Outsourcing Attractiveness’ Score of the country
is determined for countries in each band. This is
the sum of the ‘People & Skills’ score and ‘Business
Environment’ score.
The rankings are made in each band using this total
score.
Overall Outsourcing Attractiveness Rank
Countries are ranked within Infrastructure Bands based
on:
Countries are ranked within their bands based on their
BE + People & Skill Scores
Business Environment
People & Skills
Outsourcing Attractiveness Rank
Countries are ranked within their bands based on their
BE + People & Skill Scores
Outsourcing Attractiveness Rank
Ranks Country Score
1 Egypt 7.18
2 Mauritius 7.08
3 South Africa 6.98
4 Tunisia 6.77
5 Morocco 6.43
1 Botswana 6.57
2 Ghana 6.32
3
Kenya 5.824
Senegal 5.79Mozambique 5.35
Nigeria 6.301
Zambia
2
Namibia5.91
3
Tanzania 5.68
Uganda 5.68
BE + People & Skills
Infrastructure
Band Country
Tunisia
South Africa
Egypt
Morocco
Mauritius
Ghana
Kenya
Botswana
Senegal
Mozambique
Namibia
Zambia
Nigeria
Uganda
Tanzania
5.91
567
READY
UP COMMING
YET
TO BE READY
Thank You