Our customer, a public-sector enterprise, was interested in finding out citizens’ perceptions about eHealth. A solution was developed using information from social networks, institutional websites and Google trends. Applied techniques: Social Network Analysis, Google Trends and Web scraping.
Our customer called for a quantitative analysis of public policies in the technological environment. Based on information provided by national and international reference bodies (INE, Eurostat, WB, OECD, ITU, IMF, WEF, etc.), a relational descriptive (non-causal) and trend analysis were implemented. Applied techniques: descriptive analysis, Ordinary Least Squares (OLS), Loess and segmentation.
Study on the female participation in the digital sector. The main goal is to analyse the gender gaps in ICT studies and jobs, the digital job dropout (Opt-Out Phenomenon) and the effects of the productivity loss and ICT careers on employability. The gender differences on the working conditions in the sector are also tackled.
The quantitative analysis carried out is based on the data provided by international and European organizations and private entities. Several Eurobarometers and the following surveys were used to: European Labour Force Survey (LFS), European Survey on Working Conditions, European Institute for Gender Equality (EIGE), The Teaching and Learning International Survey (TALIS) y Stack Overflow Developer Survey.
Univariate and bivariate analysis techniques and multivariate statistical methods (linear models and LOGIT) were applied.
This study analysed the cybersecurity sector and the data protection in Europe, as well as the main challenges faced by the European cybersecurity industry. The aim is to carry out a policies analysis to assess the different options available to Europe’s leaders for the promotion of a cyber-resilient economy and society in Europe.
The quantitative analysis is based on, on the one hand, the use of Eurobarometers and Eurostat data and, on the other hand, platforms in which the information is provided by the sector companies such as Cybersecurity Ventures and Crunchbase. Blog posts and technical documents were used as well.
Descriptive and causal analysis techniques were applied to gain a deep understanding of the sector (businesses’ characteristics, investments, acquisitions, etc.) and benchmarking and text mining techniques for documents analysis.
Our customer called for the development of a composite indicator on the level of digitalization of businesses by sectors. This was done by using the OECD guide “Handbook on constructing composite indicators: methodology and user guide” and several statistical indicators available on the survey on ICT and Electronic Commerce use in Companies of the Spanish Statistical Office. Different techniques were used such as component analysis, factor analysis, imputation, multivariate analysis, Cronbach, correlations and linear and geometric aggregation methods.