Synopsis: Ict: Data:

The 2015 Gartner CIO Survey gathered data from 2, 810 CIO respondents in 84 countries and all major

For this report, we analyzed this data and supplemented it with interviews of 11 CIOS (or

social and big data are already central to business thinking, and the next set of digital technologies, trends, opportunities and threats is creating yet another competitive frontier

with a digital information and technology mindset, and working backward Measurement is short-term and input-centric, and value measurement

analytics combined with data-led experimentation (see figure below Information and technology flip 3: From the nexus to the next horizon

of data Structured information Separate analytics To Forward-looking predictive analytics Active experimentation informed by data

New types of information including social and multimedia Embedded analytics Percentage of CIOS who agree

Cataloguing data can be found at the end of this publication Luxembourg: Publications Office of the European union, 2013

It presents the latest data on the process of global technology development and future prospects based on strategic knowledge assets.

Data: Eurostat, OECD, Unesco, Science Metrix/Scopus (Elsevier Notes 1) Tertiary graduates in science and engineering

i) Data is not available for China 2) GERD: Shares were calculated from values in current PPSÂ

when compiling the data 36.1 28.8 33.1 31.8 26.6 22.9 21.9 23.0 28.3 28.8 39.8

Concerning FDI, the data shows that the EU is still the main destination in the world, representing 1/4 of FDI

The most recent data 2011) is consistent with the overall finding of FDI data, namely of the EU€ s slightly falling but persisting world lead.

However, China is rapidly increasing its global value chain income and is competitive at both the lower and the higher end of the value chains.

Data: OECD Source: DG Research and Innovation †Economic Analysis Unit Notes:( (1) Bulgaria and Romania are included not for 2004,2005 and 2007

Data: OECD, Eurostat Source: DG Research and Innovation †Economic Analysis Unit Figure 4: Foreign Direct Investments of European firms outside the EU

Data: OECD, Eurostat Source: DG Research and Innovation †Economic Analysis Unit â 0 â 100

due to missing data. The size of the pie chart for each country indicates the total amount of R&d expenditure

The data presented illustrates the pre-crisis period. 6 As for the investments in research and innovation, the

Data: OECD, Eurostat Source: DG Research and Innovation †Economic Analysis Unit 2004 2005 2006 2007 2008 2009 2010 2011

However, Chinese data is incomplete and has some methodological issues, which makes a comparison with data from OECD countries difficult

The R&d expenditure of wholly foreign-owned companies in China was â 2. 4 billion in 2007.

Data: OECD, Eurostat, National statistical offices, DG RTD study calculations Notes: 1) Firms from the European union spent â 774 million on R&d in Switzerland in 2007;

2) Swiss data also includes the service sector; data for China is estimated based on national sources and US and Japanese outward data

Figure 7: Overseas business R&d expenditure in manufacturing between the EU, the US Japan, China and Switzerland, 2007 (in million euro

Data: OECD, Eurostat Source: DG Research and Innovation †Economic Analysis Unit Other manufacturing (C15, C23, C27, C31, C32, C33) 12

The numerator is based on firm-level data by headquarter and the denominator on national data (firms

operating in the country independently of the location of their headquarter. 8 When a country has several large

the businesses registered in the country (BERD data The values for the country in Figure 8 are in this case

Data: Eurostat, OECD, EU R&d industrial scoreboard notes:( (1) EU average does not include Croatia

between the two data sets, these shares are only proxies of the extent to which a country is affected by the

The data for the United kingdom is particularly interesting, since the overall R&d intensity in the country is much lower than in other EU Member

full counting of sector-specific PCT data Technology-intensive countries in North America and Asia are more strategic than the

Data: WIPO PCT applications; data processed by the University of Bocconi, Italy 14 Europe†s compet it ive technology prof i le in the g lobal ised knowledge economy

Economic transformation addressing societal challenges may come from Asia Figures 1warn-Not a number in Unicode character name:

Data Eurostat, DG ECFIN, OECD Source: DG Research and Innovation †Economic Analysis Unit Notes

Data: WIPO PCT applications; data processed by the University of Bocconi, Italy Data Eurostat, DG ECFIN, OECD

Source: DG Research and Innovation †Economic Analysis Unit Notes 1) Patent applications under the PCT (Patent Cooperation Treaty), at international phase, designating the EPO by country of residence of the inventor (s

2) The estimation for the period 2011-14 is based on the annual average growth rate calculated for the period 2005-10

Data: WIPO PCT applications; data processed by the University of Bocconi, Italy 17 3. Potential of European cooperation in

converging technologies for emerging growth markets Technology development is an important part of the supply side of innovation potential.

Azagra-Caro, J. and Grablowitz, A. 2008) †Exploring data on business R&d: the case of BERD and Scoreboardâ€, JRC-IPTS

Ecommerce Europe association data at a glance 2014 European Reports Reports include country profiles, trends & Infographics

providing us with the required data and information. We would also like to thank all participating company members, business partners and stakeholders for their

By using innovative technologies and data sciences, Gfk turns big data into smart data, enabling its clients to improve their competitive edge

and enrich consumers†experiences and choices Globalcollect is the most knowledgeable global Payment Service Provider in the world, processing international e-commerce payments for

More than 160 companies in 40 countries use Richrelevance to turn data into actionable insight, which delivers the most relevant experience for consumers as they shop across web, store and mobile.

INFA) is the world†s number one independent provider of data integration software. Organizations around the world rely on Informatica to realize their information potential and drive top business imperatives.

and only embeddable virtual data machine (VDM), powers the unique â€oemap Once. Deploy Anywhere. †capabilities of the Informatica Platform

With regard to information technology, Informatica helps wherever possible by delivering the right data in the right way to the right users

come from a clear interpretation of the insights to be derived from the data that exist

through aggressive fraud management and the application of big data analytics Mobile first strategy In 2014, mobile commerce well and truly arrived in Europe.

Big data to monitor risks and identify opportunities Another big trend that is further maturing in 2014 is the application of big data

analytics and visualization to the domain of online payments. E-commerce leaders such as Amazon have been applying big data for years now with the objective of

building sophisticated profiles of their consumers for Conversion Rate Optimization (CRO. And with good reason

Huge volumes of data need to be analyzed in order to identify issues and The year of SEPA

By applying analytics and visualization to payments data merchants can track and compare performance per country, per payment method

According to data received from national e-commerce associations, Ecommerce Europe estimates the number of B2c websites to have grown to 645,250 at the end of

2013 Key B2c E-commerce Data of Goods and Services at a Glance Top 10 e-commerce countries in

2013 Key B2c E-commerce Data of Goods and Services at a Glance Top 5 mature e-commerce

2013 Key B2c E-commerce Data of Goods and Services at a Glance The netherlands Belgium France

2013 Key B2c E-commerce Data of Goods and Services at a Glance 1 Germany â 63,400

2013 Key B2c E-commerce Data of Goods and Services at a Glance Italy Spain Greece

2013 Key B2c E-commerce Data of Goods and Services at a glance 1. Sweden â 8, 622

2013 Key B2c E-commerce Data of Goods and Services at a Glance Ukraine Romania 1 Russia â 15,500

international (digital economy and e-commerce Previously, he worked as Project Manager in the financial services industry Please feel free to contact Bert at:

Cluster analysis...74 European Competitiveness in KETS ZEW and TNO EN 4 Error! Unknown document property name.

Cluster analysis...125 4. 3. 1. Micro-and Nanoelectronics Europe: The Grenoble cluster...126 4. 3. 2. Micro-and Nanoelectronics Canada:

Cluster analysis...173 5. 3. 1. Industrial biotechnology cluster Europe: Cambridge (United kingdom...174 5. 3. 2. Technology cluster Non-Europe:

Cluster analysis...218 6. 3. 1. Photonics Europe: The Optical Technologies Berlin-Brandenburg cluster (Optecbb 219

Cluster analysis...269 7. 3. 1. Advanced Materials Europe: Wallonia†s Plastiwin cluster...269 7. 3. 2. Technology cluster non-Europe:

explored through patent data. The rationale for this choice is given below and explored in more detail in section 2. 2. Market potentials and application prospects are based summarised

situation of international competitiveness in each KET, patent data seem to be the most European Competitiveness in KETS ZEW and TNO

comparability of patent data is limited due to different economic values a patent may represent, different degrees of technological novelty and different degrees of actual

applicability, patent data are nevertheless a widely used source to analyse dynamics in certain fields of technology and identify the regional distribution of new knowledge generation

Figures based on data from AT, BE, CY, CZ, EE, ES, FR, GR, HR, HU, LT, LU, NL, PL, PT, RO, SK, TR

such as digital data processing (the first computer was invented in the 1940s) or cellular telephone communication (the technological

which statistical data would be available) since the cross-sectional nature of KETS implies that firms from different industries develop and apply

industry data such as market shares, trade performance, productivity and growth in value added cannot be applied to analyse competitiveness in emerging KETS

competitiveness in each KET, patent data seem to be the most relevant source. Patent applications refer to technical inventions that have reached a certain state of feasibility and

patent data is limited due to different economic values a patent may represent, different degrees of technological novelty and different regulations of national patent offices, patent

data are nevertheless a useful source to analyse dynamics in certain fields of technology and

) Patent data have widely been used to analyse technological performance particularly for KETS, such as nanotechnology

technological performance such as scientific publications or R&d expenditures, patent data are more closely related to innovations and product markets

Patent Data as Technology Indicators Using patent data as empirical base for analysing technological competitiveness of KETS has

several advantages Patent data contain information on the technological area (s) a certain patent is related to

based on an internationally standardised classification system (International Patent Classification-IPC. Since IPC classes are highly disaggregated,

Patent data also contain text information of the technical content of a patent (patent abstracts) which would provide an

Patent data allow to determining the"market share"of the EU in the total production of new

Patent data also enable to differentiating by country of applicant and thus to pattern technological competitiveness in each KET by EU member

Patent data contain information on the applicants which can be linked to other data in order to identify the institutional background of an applicant (higher education institution, public

sector research institution, private firm, individuals) or the sector affiliation. Sector affiliation of applicants is important information to evaluate the role of each KET for

Patent data allow to some degree an analysis of technological links between certain fields of

However, patent data also have a number of limitations (see Griliches, 1990; Moed et al 2004) that limit their applicability as technology indicators and that complicate their analysis

As a result, any count of patent data whether weighted by a"relevance factor "or not, is problematic as it is likely to compare

Patent data applied at different patent authorities are difficult to compare because of different patent national laws, different practices at patent offices and different application

As a consequence want cannot simply add up patent data applied at different patent offices Applying for patent protection at a specific patent office is linked to the applicant's strategy

Patent data are available only with a considerable time lag after the underlying invention has been made.

We try to tackle some of these shortcomings of patent data in the following way

and the same invention in patent data. In the following, the term"patent"always refers to

All patent analysis rest on the Patstat database generated by the EPO. We use the September

Identifying KETS in Patent Data There are two approaches to assign patents to technology areas. One is to identify key words

combining key words and searching across patent data from various patent authorities Given the large number of technology fields to be covered

patent data since patents only applied at USPTO or JPO often miss address information on

secondary data: scientific and vocational cluster publications, and publically available information. We structure the analysis along the systemic

-CNT data memory -CNT inter -connected circuits -moleculare electronics -nanowires for producing electricity -spintronic logics

-data transmission through surface plasmons Medicine-nanoparticles as contrast media -nanoscale drug carriers -nanomembranes for dialysis

Cluster analysis Nanotechnology has the potential to impact and shape many other industries through its multiple application possibilities.

http://www. meti. go. jp/english/aboutmeti/data/aorganizatione/pdf/chart2009. pdf 32 http://www. kansai. meti. go. jp/english/politics/kyoto-municipal. pdf

nanotechnology R&d is extremely difficult since enterprise R&d surveys rarely collect data on R&d expenditure devoted to nanotechnology

While regional or national clustering has certainly its merits and can be an important driver for advance in nanotechnology, a too strong national focus may understate

growth of the semiconductor industry, the most recent data available, of 2. 2 percent to $260

Cluster analysis Clustering can be viewed from three angles: production locations, research activity and investments indicating future (production) location.

In terms of production output Asia is the largest geographical agglomeration with China accounting for 27 percent of production in

The most recent R&d data of the OECD Technology Outlook 2008 does not go beyond 2006

Analysing technological competitiveness in industrial biotechnology based on patent data using patent classification systems is challenging. It is even more difficult to identify whether

Cluster analysis The geographical distribution of industrial biotechnology clusters can be summarised in four regions: West-and North Europe, American West coast, American East coast, and East asia

digital communication, building the very foundations of our Information Society. The major highways of communication and information flow are based on optical technology.

data. Information and knowledge are becoming our most valuable commodities †unlimited access to which is becoming arguably the most significant driver of productivity and

It is optical transmission networks that are enabling all of this, giving data accessibility to anyone, anywhere (Photonics21, 2006

Cluster analysis On a global level, production is located (increasingly in low-cost countries, predominantly in Asia. In 2005 Japan represented 32 percent, Europe 19 percent North america 15 percent

also to local and national governmental initiatives that promote regional clustering activities Sydow et al. 2007

However, this data is based on a survey from 2002. Others in the meantime (2007) speak of 69 Since 2005 the photonics clusters in Berlin-Brandenburg, Tucson, Arizona,

internal database up to date, to publish press releases and the biannual newsletter, and to organise the annual †Networking Days†and annual members meeting.

website, database, press releases but also coordinated events at industry fairs globally Secondly, it facilitates interaction between cluster firms,

Analysing technological competitiveness in advanced materials based on patent data and using patent classification systems to identify advance in material technology is challenging

optical data storage, fiber optics communications, illumination solar cells BCC (2008 Optical coatings 5 2008 5. 7 2015 2 electronics, defence/security

Cluster analysis Advanced materials clusters can be found all over the globe, but mainly in North america Europe, Japan, Australia,

which in the ECO data is listed 4th in the chemical clusters category with high level of

but solely focus on quantitative analyses based on patent data. This decision reflects the specific nature of this KET (see the following section for more detail) which implies different

based on patent data. AMT patents are identified through a combination of IPC classes (see section 2. 2). Measured in terms of patents applied at EPO or through the PCT procedure

For quantitative analysis, patent data were employed Qualitative analysis of success factors, barriers and market and system failures rest on

firm databases to increase transparency of the actors present in the cluster, provide intermediary services etc.

Technologies (AMT) by The swiss Government Using Micro-Level Survey Data: some Methodological Considerations, in: OECD (ed.),Policy Evaluation in Innovation and Technology

An Empirical Analysis Based on Firm-level Data for Swiss Manufacturing, Zurich mimeo Arvanitis, S.,H. Hollenstein, S. Lenz (1998), Are Swiss Government Programmes of Promotion of

-level Survey Data, Paper Presented at the International Conference on The Economic Evaluation of Technological Change, Georgetown University Conference center, Washington, D c.,June 15†16

Firm-Level Analysis Using Comparable Micro-Data from Four European countries, NBER Working Paper No. 14216

and technology field analysis based on USPTO patent database, Journal of Nanoparticle Research 6 Hullmann, A. 2006), The economic development of nanotechnology-An indicators based analysis

Nordicity Group (2006), Regional/local industrial clustering: Lessons from abroad, Ottawa: National Research Council Canada

 data  from  existing  studies  enable  us  to  probe

 clustering  manifests  itself  in  cities  and  towns  across

 clustering  the  university  and  business  enterprise  may  be

 data  describes  size  growth  rates  specialisms  successful  cluster

 data  and  insights  † as  we  have  referred

bibliometric data 62. Generally speaking, such studies have detected most of the factors and mechanisms inï uencing the

the analysis of patent data, Res. Policy 21 (1)( 1992) 79†93 75 A. Arora, A. Fosfuri, A. Gambardella, Markets for Technology:

Digital technologies †including social media, the cloud, data analytics and mobile †are rapidly emerging as disruptive forces for

the cloud and big data †are transforming the way companies and their customers interact. At

data onto a smart phone to send to a health care provider. â€oethis is an example of how technology contributes to generate new

and data, among others †are transforming companies at both an operational and a strategic level.

currencies in online games, to others selling its digital data â€oein many cases, digital has moved technology toward becoming the

chief data officer? In many respects, this depends on CIOS themselves, argues Bob Sydow, Americas IT Advisory Leader

organization, the amount of automation and data-driven information that they use in their daily business is magnitudes

data-driven information that they use in their daily business is magnitudes bigger than just

customer service, and uncovering new data-driven insights â€oemy job is to find interesting new ideas and innovations,

technologies †such as big data, mobile social media and cloud †that marketing and IT have no choice

data-oriented, †he says Of course, this raises specific challenges in the interface between marketing, which is seeking this insight

whether it†s data consumption acquisition or analytics, people expect answers immediately. To deal with this

technologies †such as big data, mobile social media and cloud †that marketing and IT have no choice

data-oriented, †he says Of course, this raises specific challenges in the interface between marketing, which is seeking this insight

whether it†s data consumption acquisition or analytics, people expect answers immediately. To deal with this

and mining of data captured to gain greater customer insights and design more effective sales

tasked her with applying data analytics to generate new customer insights †and then to work with the business to apply those

instant †whether it†s data consumption acquisition or analytics, people expect answers immediately. To deal with this

data to transform their business model, or the medical device CIO who articulates the impact of information technology on their

business processes, the value of collecting data from their products, the business around monetizing that data,

and creating value-added services. They know how to explain these new business models, which may be more profitable than actually

analytics, big data, mobility and the cloud or whichever area has the highest benefit for your company, †he says

Get control of your data Set out the relevant standards Understand strategic alignment with the rest of

so you need a foundational architecture †for mobile, cloud, data applications, and so on. If you don†t, you wind up connecting

application and infrastructure delivery, ahead of data. But a shift into the cloud reduces the emphasis on the application front, and

makes data far more important again Digital transformation requires to radically simplify the business and to change the mindset around product development.

and IT experts, to add additional context to our data and findings We focused on those sectors independently identified as

3. The digitisation of everything: how organisations must adapt to changing consumer behaviour, EY, 2011

•Digital data opportunities: using insight to drive relevance in the digital world, EY, 2011 •â€oepredictive analytics:

•The digitisation of everything: how organisations must adapt to changing consumer behaviour, EY, 2011

13,7%),Switzerland (11,5%),USA (10,1%)and Denmark (2, 2%).The data confirms a much tied connection between the work tax and the suburb economy, comparing that between the

3 CSO Census of Population, 2011 (Preliminary Results) †See data in Appendix 1 SOUTH EAST EMPLOYMENT ACTION PLAN †FORFà S

Ireland/Government of Ireland-Data Source: CSO Census of Population 2011 (Preliminary Results. Not to be reproduced without

CSO, Census of Population 2002 & 2006 and estimates based on preliminary data for 2011 The effect of the dispersed urban structure in the region is evident in the quite limited extent

Ireland/Government of Ireland-Data Source: CSO POWCAR data for 2006. Not to be reproduced without permission from AIRO

The age profile of the South East diverges only slightly from that of the State as a whole.

positive is that in 2006 (latest available data) the region had a higher proportion of its

Trend data over the period 2006 to 2009 shows that the number of small enterprises and employment overall in these firms has declined, and at a

s analysis of CSO Business Demography data. The South East region includes Carlow Kilkenny, Waterford, Wexford and Tipperary County †there is no breakdown of North/South

The GEM 2008 findings are reflected in EI data with respect to the emergence of high potential start-ups from the region.

FAS SLMRU/CSO QNHS Data Early school leaving: Recent Department of education data on education retention at

secondary level indicates that regional performance on educational attainment is likely to 8%6 %15

9 Refer to data tables in Appendix 3 22 percent). ) This would primarily relate to those working in manufacturing but also within

11 This is based on the 2006 Census data as 2011 data is not yet available by town.

IDA estimates that a large scale manufacturing/data centre development would require approximately 20 MW of electricity capacity.

sectoral data and trends through Forfã¡s ongoing sectoral research and policy development 20 Teagasc (2008) Towards 2030:

in locations such as data centres and delivered on demand. Cloud computing is impacting the ICT industry in terms of the products

 Infrastructure-such as NGNS, data hosting, etc The broad sector displays strong growth prospects; driven by changing consumer

Data includes consumer spending on console (incl. handheld), PC games, online games and wireless/mobile games and video games

key element in the digital economy, for example Ireland has attracted already major games companies from overseas who have sited their customer support and

specifically and the wider digital economy. From a regional perspective, it will be important that  Games and digital media firms already located in the South East engage with the wider

42 Refer to Appendix X for data tables 46 Table 5. 1 Education Providers in the South East participating in the 2010 Labour market

Data on the level of enrolments are not yet available Courses are available across a range of NFQ levels

43 See data in Appendix 3 SOUTH EAST EMPLOYMENT ACTION PLAN †FORFà S In addition, the disproportionate declines in particular occupational groups †Crafts/Plant and

research services, data analytics, patent research services etc. The increasing complexity of activities being outsourced often goes hand in hand with increased sensitivity of the related

data †which may impact on a company†s location decisions 50 The corporate shared services activities are evolving in much the same way requiring a strategic

call centre telephony equipment in their own data centre 53 A number of existing operations have transitioned to offer higher order value services †for example

changing business models of customers (driven by new technologies, the Cloud, data processing capacity, social media etc. and â€oemega-trends†such as ageing

Latest available regional data is for 2006 86 metric for a number of reasons, particularly because †transfer pricing†by multinational

by 2010.73 The table below shows the available data on the South East counties compared to

FAS SLMRU/CSO QNHS Data 92 Figure A 15 Employment Permits issued in the South East 2004-2010

Data entry/conversion or indexing services to various verticals including e g. FMCG businesses, Medical sector, publishing

Clinical data management Supply Chain/Procurement services Managing supply chain activities including Order to Cash,

including e g. data hosting, Software as a service, Infrastructure as a Service, Platform as a service etc 102 Appendix 7 Business Process Outsourcing An Evolving Sector

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