A Contribution to the
Global Measurement
of the ICT Sector:
ALETI Census
November 13th, 2013
GPATS 2013
São Paulo – SP - B...
Initial Diagnosis
• In-depth indicators about the IT Sector do not exist
• Few existing data do not allow for comparison a...
Our Goals
• Deep Understanding of the ICT Sector
– As has never been available
– Be able to evaluate Public Policies
• Whe...
Our Strategy
• Totally focused on
Producers/Resellers of ICT Goods and Services
• Questionnaire Size
– Bigger than any com...
Pilot Round
• Assespro Nacional’s Board
– Structured the project during 2011
– To be run only in Brazil, as a ‘pilot proje...
Public Policy: A practical case
• Brazilian Science and Technology Ministry launched
“TI Maior” (‘Bigger IT’) program Aug/...
CerTICs evaluation with
2012 Census data
0%

50%

100%

150%

200%

42,8%

Ser vices

Sout h

36,1%

Wholesale & Ret ail
3...
Going Multinational
• ALETI Indicators Working Group

– Worked all of 2012
– Harmonizing with other national initiatives
–...
The 2013 data collection ‘war’
• From Aug 1st to Oct 21st, 2013
– 849 participating companies
– From 17 countries
– 575 co...
Census' Contents (I)
• Geographical Distribution
– Country where company is
located
– Headquarters' States/Province
– Offi...
Census' Contents (II)
• Human Resources
Evolution
– Hiring during the last 12
months
– Leaving and fired during the
last 1...
Census' Contents (III)
• Internationalization
– Own offices per continent
– Revenues & variation in
exports
– Target Count...
Census' Contents (IV)
• R&D
– In Use R&D Subjects
– Potential R&D Subjects
– R&D Investment

• Finance
–
–
–
–

Capital So...
Designing Answers
• Usage of ranges instead of values
– Easier to get answers
– Range averages are more precise

• Based o...
Cross Analysis
• Understanding relations between
apparently unrelated aspects
• Frequently reveals ‘pearls’ of wisdom
• Le...
Aggressive Innovation
vs. Companies’ Revenues
More t han USD 500 Million

17%

17%

33%

29%

From USD 100M t o 500 Millio...
R & D Budget vs. adoption
of open source technologies
Never

Ver y rarely

Rar ely
29%

We don't invest in R& D

13%

13%
...
Subset Analysis
• Based on considering subset of companies
with a specific answer to a specific question
• Examples:
– Are...
Company Revenues
for Mobile Platform Producers
0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

All Com panies

Work...
Level of Exports for SaaS Producers

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Com panies in Gener al

Com pa...
Geographic Grouping
Portugal

Mexico and
Central America
5,9%

España

Iberian Peninsula
7,2%

North Cone
12,4%

Brasil
63...
Level of Exports
0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Sout her n Cone

Nor t her n Cone

Mexico and Cent...
Interaction with Universities
as an Innovation Strategy
0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Whole Regio...
Operating Systems
0%

50%

Whole Region

Sout her n Cone

29%

16%

Nor t her n Cone

7% 12%

35%

4% 10%

9%

I ber ian P...
Census’ Data Sharing Policy
• Because of:

– Huge number of possible analysis

• Much bigger than IT associations resource...
Next Goals
• Grow number of participating companies
– During each annual rollout

• Grow number of participating countries...
Thank you!
•

WITSA Board Member (2012-2014)
ALETI President (2011-2013)
Assespro Nacional Vice-President (2011-2014)
Asse...
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[GPATS 2013] Roberto Mayer - Measuring the IT Sector Globally - ALETI Census

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[GPATS 2013] Roberto Mayer - Measuring the IT Sector Globally - ALETI Census

  1. 1. A Contribution to the Global Measurement of the ICT Sector: ALETI Census November 13th, 2013 GPATS 2013 São Paulo – SP - Brazil
  2. 2. Initial Diagnosis • In-depth indicators about the IT Sector do not exist • Few existing data do not allow for comparison among geographic areas, both inside the country and internationally • Governments’ data: – Focus just on revenues and employment • Due to being derived from tax and labour declarations • Global Market Research Companies: – Focus on Sales of ICT products and services – Local ICT industry covered only partially • Mostly to find business partners for huge global players First Stated in writing during Assespro Nacional Strategic Planning developed November 2010
  3. 3. Our Goals • Deep Understanding of the ICT Sector – As has never been available – Be able to evaluate Public Policies • When being developed/proposed by governments • Monitor their impact over time when implemented • Knowledge and action in benefit of associations´ members – Benchmarking – Matchmaking – Business Opportunities Generation
  4. 4. Our Strategy • Totally focused on Producers/Resellers of ICT Goods and Services • Questionnaire Size – Bigger than any commercial survey – Doesn't impact on effort to push for participation – Web data collection • Respondents: Company owners and Chief-Level executives – By going through Associations, direct access to them – Warrants high quality of data collected • Data Collection gets Repeated every year – Allow for development of historical series
  5. 5. Pilot Round • Assespro Nacional’s Board – Structured the project during 2011 – To be run only in Brazil, as a ‘pilot project’ – But planned to be expanded to other countries • Called “Censo Assespro do Setor de TI” – First round of data collection & analysis during 2012
  6. 6. Public Policy: A practical case • Brazilian Science and Technology Ministry launched “TI Maior” (‘Bigger IT’) program Aug/2012 – One of proposed measures: • Develop a new national certification process (“CerTICs”) – Aimed at certifying “local development of innovative products” – Certified products would receive 25% of margin of preference for procurement by the Brazilian Federal Government – Details not known during Census preparation, but able to evaluate: • Which companies would benefit • Real size of market impact
  7. 7. CerTICs evaluation with 2012 Census data 0% 50% 100% 150% 200% 42,8% Ser vices Sout h 36,1% Wholesale & Ret ail 34,7% Const r uct ion & Manufact ur ing 27,0% Public Sect or Sout heast 18,6% Financial Sect or 14,0% IT 10,9% I nfr ast r uct ur e Ot her Regions 3,2% Pr im ar y Sect or 2,9% I ndividuals I nfr ast r uct ur e Public Sect or 21% 68% 39% 14% Pr im ar y Sect or 11% Const ruct ion & Manuf act uring 24% 2% Public Sect or 34% 43% Services 33% 56% 29% 6% 34% 57% 33% 24% IT 5% 20% 49% Financial Sect or 21% Smal l 36% 33% 39% 27% 36% 40% 31% 38% 32% 26% 42% 36% 30% 28% 56% 22% 22% 50% I nf rast ruct ur e Mi cro 55% 1% Prim ary Sect or 50% 22% 6% 40% 47% 9% I ndividuals Prim ary Sect or 9% 42% 39% 18% Const r uct ion & Manuf act ur ing Wholesale & Ret ail IT I ndi viduals Wholesale & Ret ail 13% Ser vices IT Wholesal e & Ret ai l Fi nanci al Sector I nfrast ruct ure 2% Publi c Sect or Const ruct i on & Manuf act uri ng Financial Sect or Ser vices Medi um Big I ndividuals High 57% 23% 60% 20% 20% I nt erm ediat e 20% Low
  8. 8. Going Multinational • ALETI Indicators Working Group – Worked all of 2012 – Harmonizing with other national initiatives – Results approved by ALETI Assembly Peru (Jan 2013) • Sponsoring companies: – SurveyMonkey (www.surveymonkey.com) • Contributes with survey software – MBI (www.mbi.com.br) • Data Handling & Chart Preparation
  9. 9. The 2013 data collection ‘war’ • From Aug 1st to Oct 21st, 2013 – 849 participating companies – From 17 countries – 575 complete questionnaires – 555 of them selected for analysis – Over 53 thousand individual answers – 96 answers per company in average – Minimum: 61 – Maximum: 213 10 < 24/ 08/ 2013 11 31/ 08/ 2013 07/ 09/ 2013 14/ 09/ 2013 21/ 09/ 2013 28/ 09/ 2013 3 21 65 89 126 05/ 10/ 2013 124 12/ 10/ 2013 19/ 10/ 2013 106
  10. 10. Census' Contents (I) • Geographical Distribution – Country where company is located – Headquarters' States/Province – Offices in other States/Provinces • Companies Offer – ICT Products and Services • Technical Platforms – Operating System Types – Database Management System Types – Programming Languages Types – Global Products Integration • Markets Serviced – Vertical Segments – Horizontal Markets • Human Resources Available – – – – – – Software Developers Other ICT professionals Dedicated to R&D&i Marketing and/or Sales Other company areas Total workforce size • Human Resources Education – Certified Professionals – University Degree – Post Graduation
  11. 11. Census' Contents (II) • Human Resources Evolution – Hiring during the last 12 months – Leaving and fired during the last 12 months – Idle capacity – Feasible and Possible Short term Hiring – Workforce Variation over the last 12 months – Technical Capacity Maintenance • Business Strategies – Recurring Revenues – Contracts covered by SLA agreements – Geographic Dispersion – Companies Certifications – Intellectual Property Protection – Joint Ventures & Formal Partnerships – Participation in Trade Associations and Social Organizations
  12. 12. Census' Contents (III) • Internationalization – Own offices per continent – Revenues & variation in exports – Target Countries – Foreign Travel – Export Channels  E-Commerce, own offices, clients & resellers • Innovation – Innovation Types Adopted – Interaction with Clients & Universities – Knowledge Management & Sharing – Buying & Selling of Intellectual Property – Usage & Release of Open Technology – Profits through Innovation – Revenue Share of new Products
  13. 13. Census' Contents (IV) • R&D – In Use R&D Subjects – Potential R&D Subjects – R&D Investment • Finance – – – – Capital Sources Used Capital Sources to be Used Amount of Capital Obtained Amount of & Variation in Revenues A LONG list! All subjects equally important
  14. 14. Designing Answers • Usage of ranges instead of values – Easier to get answers – Range averages are more precise • Based on standard classification systems – E.g. vertical markets, R&D subjects • Need to be simultaneously: – Sufficiently detailed to allow for matchmaking – Structured to be grouped during analysis – In case specific answers are not selected frequently enough to be statistically significant
  15. 15. Cross Analysis • Understanding relations between apparently unrelated aspects • Frequently reveals ‘pearls’ of wisdom • Let’s see TWO examples: – Which size of companies are the most aggressive innovators? – How does R & D budget relate to the adoption of open source technologies?
  16. 16. Aggressive Innovation vs. Companies’ Revenues More t han USD 500 Million 17% 17% 33% 29% From USD 100M t o 500 Million From USD 50M t o 100 Million 14% From USD 20M t o 50 Million 13% 14% From USD 10M t o 20 Million 9% 19% From USD 600K t o 1,8 Million From USD 180K t o 600 Thousand Up t o USD 180K Never Ver y rar ely 29% 17% 30% 13% 36% Rar ely 27% 16% 10% Som et im es 21% Fr equent ly 19% 8% 16% 19% 8% 13% 22% 22% 9% 12% 31% 22% 10% 13% 19% 18% 12% 31% 17% 38% 14% 22% 14% 43% 19% 20% From USD 1,8M t o 5 Million 14% 43% 16% From USD 5M t o 10 Million 33% 6% 11% 5% 6% 10% Cont inuosly
  17. 17. R & D Budget vs. adoption of open source technologies Never Ver y rarely Rar ely 29% We don't invest in R& D 13% 13% 13% 14% 11% From 2% t o 4% 17% 11% From 4% t o 8% 18% Mor e t han 15% 10% 6% 16% 13% 14% 23% 27% 19% 25% 18% 19% 18% 19% 19% 20% 20% 33% 23% 16% 16% Mor e t han 15% 7,7% Som et im es 22,0% Cont inuosly 21,6% Fr equent ly 17,8% “Love it or leave it” We don't invest in R& D 22,7% Less t han 0,25% 7,0% From 4% t o 8% 14,4% Very r ar ely 9,9% Never 18,9% 19% 11% Fr om 8% t o 15% 12,6% Rarely 9,7% 19% 25% 26% 18% Cont inuosly 18% 20% 24% 14% 18% 11% 8% 7% 23% 16% 11% 9% From 8% t o 15% 5% 3% Fr equent ly 5% 16% 30% Fr om 0,5% t o 1% From 1% t o 2% 11% 23% Less t han 0,25% Fr om 0,25% t o 0,5% Som et im es From 0,25% t o 0,5% 5,8% Fr om 2% t o 4% 15,1% Fr om 1% t o 2% 7,9% From 0,5% t o 1% 6,7% Homogeneous distribution
  18. 18. Subset Analysis • Based on considering subset of companies with a specific answer to a specific question • Examples: – Are revenues of companies betting on mobile platforms higher or lower than the sector’s average? – Do companies offering Software as a Service export more or less than average?
  19. 19. Company Revenues for Mobile Platform Producers 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% All Com panies Work ing on Mobile Up t o USD 180K Fr om USD 180K t o 600 Thousand Fr om USD 600K t o 1,8 Million From USD 1,8M t o 5 Million Fr om USD 5M t o 10 Million Fr om USD 10M t o 20 Million From USD 20M t o 50 Million Fr om USD 50M t o 100 Million Fr om USD 100M t o 500 Million Mor e t han USD 500 Million
  20. 20. Level of Exports for SaaS Producers 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Com panies in Gener al Com panies of f er ing SaaS Don't export Less t han 0,25% Fr om 0,25 t o 1% Fr om 1 t o 4% From 15 t o 30% From 30 t o 60% Fr om 60 t o 80% More t han 80% Fr om 4 t o 15%
  21. 21. Geographic Grouping Portugal Mexico and Central America 5,9% España Iberian Peninsula 7,2% North Cone 12,4% Brasil 63,4% South Cone 11,0% An example of grouped analysis
  22. 22. Level of Exports 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Sout her n Cone Nor t her n Cone Mexico and Cent r al Am erica I ber ian Peninsula Br azil Not hing Less t han 0,25% Fr om 0,25 t o 1% Fr om 1 t o 4% Fr om 15 t o 30% Fr om 30 t o 60% Fr om 60 t o 80% Mor e t han 80% Fr om 4 t o 15%
  23. 23. Interaction with Universities as an Innovation Strategy 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Whole Region Sout her n Cone Nor t her n Cone Mexico and Cent r al Am erica I ber ian Peninsula Br azil Never Ver y r ar ely Rar ely Som et im es Fr equent ly Cont inuosly
  24. 24. Operating Systems 0% 50% Whole Region Sout her n Cone 29% 16% Nor t her n Cone 7% 12% 35% 4% 10% 9% I ber ian Peninsula 38% 13% 28% 9% 6% 77% 39% 150% 77% 5% 8% Mexico and Cent r al Am erica Br azil 100% 21% 77% 19% 33% 43% 36% 73% 78% 25% 58% 12% 6% 15% 250% 16% 13% 67% 18% 7% 10% 5% 200% 48% 20% 41% 33% 38% 18% 23% 11% Mobile Em bedded Apple ( non- phone) Micr osof t Mid-sized syst em Mainf ram es Linux f am ily Unix fam ily
  25. 25. Census’ Data Sharing Policy • Because of: – Huge number of possible analysis • Much bigger than IT associations resources – Wider usage of data brings wider recognition • Census database is shared with interested: – – – – – Governments Universities Research Centers International and Multilateral Organizations Plus other non-profit organizations • Free of Charge – We just ask for the signature of a simple MOU
  26. 26. Next Goals • Grow number of participating companies – During each annual rollout • Grow number of participating countries – Including new geographic areas WITSA is our natural ‘network hub’
  27. 27. Thank you! • WITSA Board Member (2012-2014) ALETI President (2011-2013) Assespro Nacional Vice-President (2011-2014) Assespro São Paulo President (2007-2010) Assespro São Paulo Director (2003-2006) Columnist at Information Week Brasil (since 1999) M.Sc. In Computer Science at São Paulo University (USP) - 1992 Founder & CEO at MBI – since 1990 Former University Professor in Computer Science (USP) - 1988-1998 Working in IT since 1979 Roberto C. Mayer presidente@aleti.org roberto.mayer@assespro.org.br

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