Partial correlation : Network analysis

The final year project came to us as an opportunity to get involved in a topic which has appeared to be attractive during the learning process of majoring in economics: statistics and its application to the analysis of economic data, i.e. econometrics.Moreover, the combination of econometrics and computer science is a very hot topic nowadays, given the Information Technologies boom in the last decades and the consequent exponential increase in the amount of data collected and stored day by day. Data analysts able to deal with Big Data and to find useful results from it are verydemanded in these days and, according to our understanding, the work they do, although sometimes controversial in terms of ethics, is a clear source of value added both for private corporations and the public sector. For these reasons, the essence of this project is the study of a statistical instrument valid for the analysis of large datasets which is directly related to computer science: Partial Correlation Networks.The structure of the project has been determined by our objectives through the development of it. At first, the characteristics of the studied instrument are explained, from the basic ideas up to the features of the model behind it, with the final goal of presenting SPACE model as a tool for estimating interconnections in between elements in large data sets. Afterwards, an illustrated simulation is performed in order to show the power and efficiency of the model presented. And at last, the model is put into practice by analyzing a relatively large data set of real world data, with the objective of assessing whether the proposed statistical instrument is valid and useful when applied to a real multivariate time series. In short, our main goals are to present the model and evaluate if Partial Correlation Network Analysis is an effective, useful instrument and allows finding valuable results from Big Data.As a result, the findings all along this project suggest the Partial Correlation Estimation by Joint Sparse Regression Models approach presented by Peng et al. (2009) to work well under the assumption of sparsity of data. Moreover, partial correlation networks are shown to be a very valid tool to represent cross-sectional interconnections in between elements in large data sets.The scope of this project is however limited, as there are some sections in which deeper analysis would have been appropriate. Considering intertemporal connections in between elements, the choice of the tuning parameter lambda, or a deeper analysis of the results in the real data application are examples of aspects in which this project could be completed.To sum up, the analyzed statistical tool has been proved to be a very useful instrument to find relationships that connect the elements present in a large data set. And after all, partial correlation networks allow the owner of this set to observe and analyze the existing linkages that could have been omitted otherwise.

Análisis y creación de un sistema informático de soporte a entidades sanitarias para la detección precoz de brotes de gripe en épocas de máximo riesgo.

Hoy en día, las posibilidades del Big Data son incontables. Existe gran cantidad de información generada por la población general y disponible de forma pública.El reto consiste en poder trabajar con esta información y extraer conclusiones útiles y que generen valor.En este proyecto, queremos analizar en el tiempo el interés general de la población respecto a una enfermedad común como la gripe, y poder relacionarlos con brotes de gripe existentes en el pasado, para de esta manera, poder extrapolar y predecir futuros brotes.Esta información, en manos de las autoridades sanitarias, puede ser de gran ayuda para poder prevenir picos de solicitudes en los servicios de urgencias, anticipándose para gestionar de manera más eficaz los recursos disponibles, consiguiendo, de esta manera, un mejor servicio a la población en general.De esta manera, son los propios usuarios los que, sin saberlo, posibilitan una mayor y mejor respuesta en los servicios sanitarios mediante la información que ellos mismos distribuyen libremente, consiguiéndose de esta manera valiosos beneficios para la población general.

Análisis y creación de un sistema informático de soporte a entidades sanitarias para la detección precoz de brotes de gripe en épocas de máximo riesgo

En este proyecto queremos analizar en el tiempo el interés general de la población respecto a una enfermedad común como la gripe, y poder relacionarlos con brotes de gripe existentes en el pasado, para de esta manera, poder extrapolar y predecir futuros brotes. Esta información, en manos de las autoridades sanitarias, puede ser de gran ayuda para poder prevenir picos de solicitudes en los servicios de urgencias, anticipándose para gestionar de manera más eficaz los recursos disponibles, consiguiendo, de esta manera, un mejor servicio a la población en general.

SDS open source

Estudi de viabilitat sobre la implantació d'un software-defined storage open source en entorns empresarials. Comparativa entre Gluster, Ceph, OpenAFS, TahoeFS i XtreemFS.

Internet, Law and Politics. A decade of transformations.

Proceedings of Internet, Law and Politics. A decade of transformations.

Diseño e implementación de una base de datos para recogida y análisis de datos de actividad física provenientes de dispositivos wearables

Este proyecto consiste en diseñar e implementar un sistema de información alojado en una base de datos Oracle, con el fin de dar respuesta al proyecto Big Data, cuyo objetivo es cruzar los datos de salud y los datos de actividad física de los ciudadanos europeos.

Consideraciones legales y éticas de los datos

Peer-reviewed

Reframing the relationship between service design and operations: a service engineering approach

The significance of services as business and human activities has increased dramatically throughout the world in the last three decades. Becoming a more and more competitive and efficient service provider while still being able to provide unique value opportunities for customers requires new knowledge and ideas. Part of this knowledge is created and utilized in daily activities in every service organization, but not all of it, and therefore an emerging phenomenon in the service context is information awareness. Terms like big data and Internet of things are not only modern buzz-words but they are also describing urgent requirements for a new type of competences and solutions. When the amount of information increases and the systems processing information become more efficient and intelligent, it is the human understanding and objectives that may get separated from the automated processes and technological innovations. This is an important challenge and the core driver for this dissertation: What kind of information is created, possessed and utilized in the service context, and even more importantly, what information exists but is not acknowledged or used? In this dissertation the focus is on the relationship between service design and service operations. Reframing this relationship refers to viewing the service system from the architectural perspective. The selected perspective allows analysing the relationship between design activities and operational activities as an information system while maintaining the tight connection to existing service research contributions and approaches. This type of an innovative approach is supported by research methodology that relies on design science theory. The methodological process supports the construction of a new design artifact based on existing theoretical knowledge, creation of new innovations and testing the design artifact components in real service contexts. The relationship between design and operations is analysed in the health care and social care service systems. The existing contributions in service research tend to abstract services and service systems as value creation, working or interactive systems. This dissertation adds an important information processing system perspective to the research. The main contribution focuses on the following argument: Only part of the service information system is automated and computerized, whereas a significant part of information processing is embedded in human activities, communication and ad-hoc reactions. The results indicate that the relationship between service design and service operations is more complex and dynamic than the existing scientific and managerial models tend to view it. Both activities create, utilize, mix and share information, making service information management a necessary but relatively unknown managerial task. On the architectural level, service system -specific elements seem to disappear, but access to more general information elements and processes can be found. While this dissertation focuses on conceptual-level design artifact construction, the results provide also very practical implications for service providers. Personal, visual and hidden activities of service, and more importantly all changes that take place in any service system have also an information dimension. Making this information dimension visual and prioritizing the processed information based on service dimensions is likely to provide new opportunities to increase activities and provide a new type of service potential for customers.

Fedora Commons as core repository of the EU legislation

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

SobekCM’s Community Ecosystems & Socio-Technical Practices

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Teollinen internet uuden liiketoiminnan katalysaattorina

TIIVISTELMÄ Lappeenrannan teknillinen yliopisto Teknistaloudellinen tiedekunta Tuotantotalouden koulutusohjelma Seppo Kuittinen Teollinen Internet uuden liiketoiminnan katalysaattorina Case CGI Diplomityö 2015 78 sivua, 33 kuvaa, 1 taulukko, 1 liite Työn tarkastajat: Professori Timo Pihkala Tutkijatohtori Marita Rautiainen Hakusanat: teollinen internet, IoT, kehittynyt analytiikka, sensorit Keywords: Industrial internet, IoT, advanced analytics, sencors Tämän työn tarkoituksena on tutkia asiakaskyselyn avulla luoko teollinen internet case yritykselle uutta ohjelmisto- tai palveluliiketoimintaa. Case yritys valitsi omasta asiakaskunnastaan 15 kohdeasiakasta, joille kysely lähetettiin. Vastauksista käy ilmi, että asiakaskunnassa on näkemys siitä, mitä teollinen internet on. Nykyisten ratkaisujen ei nähdä ratkaisevan kaikkia teollisen internetin mukanaan tuomia ongelmia. Ongelmaksi koetaan sensoridatan analysointi, jonka ei vielä katsota olevan riittävän kehittynyttä ja luotettavaa. Kyselystä voidaan päätellä, ettei mitään räjähtävää kasvua ole odotettavissa lähiaikoina. Teollinen internet tulee olemaan osa yritysten liiketoimintaa, mutta sen käyttö laajenee pikkuhiljaa.

Visual analytics for behavioral and niche market segmentation

Companies require information in order to gain an improved understanding of their customers. Data concerning customers, their interests and behavior are collected through different loyalty programs. The amount of data stored in company data bases has increased exponentially over the years and become difficult to handle. This research area is the subject of much current interest, not only in academia but also in practice, as is shown by several magazines and blogs that are covering topics on how to get to know your customers, Big Data, information visualization, and data warehousing. In this Ph.D. thesis, the Self-Organizing Map and two extensions of it – the Weighted Self-Organizing Map (WSOM) and the Self-Organizing Time Map (SOTM) – are used as data mining methods for extracting information from large amounts of customer data. The thesis focuses on how data mining methods can be used to model and analyze customer data in order to gain an overview of the customer base, as well as, for analyzing niche-markets. The thesis uses real world customer data to create models for customer profiling. Evaluation of the built models is performed by CRM experts from the retailing industry. The experts considered the information gained with help of the models to be valuable and useful for decision making and for making strategic planning for the future.

Possibilities and challenges in utilization of information provided by Industrial Internet applications

Global digitalization has affected also industrial sector. A trend called Industrial Internet has been present for some years and established relatively steady position in businesses. Industrial Internet is also referred with the terminology Industry 4.0 and in consumer businesses IoT (Internet of Things). Eventually, trend consists of many traditionally proven technologies and concepts, such as condition monitoring, remote services, predictive maintenance and Internet customer portals. All these technologies and information related to them are estimated to change the rules of business in industrial sector. This may result even a new industrial revolution. This research has its focus on Industrial Internet products, services and applications. The study analyses four case companies and their digital service offerings. According to this analysis the comparison of these services is done to find out if there is still space for companies to gain competitive advantage through differentiation with these state of the art solutions. One of the case companies, Case Company Ltd., is working as a primary case company and a subscriber of this particular research. The research and results are analyzed primarily from this company’s perspective and need. In empirical part, the research clarifies how Case Company Ltd. has allocated its development resources through last five years. These allocations in certain categories are then compared to other case companies’ current customer offering and conclusions are made how the approach of different companies differ from each other. Existing theoretical knowledge of Industrial Internet is about to find its shape. In this research we take a look how the case company analysis and findings correlate with the existing knowledge and literature of the topic.

How Cloud Services may Enable SMEs to Overcome International Growth Challenges: Finnish SMEs in the IT Industry

Digitalization and technology megatrends such as Cloud services have provided SMEs with a suitable atmosphere and conditions to internationalize and seek for further business growth. There is a limited amount of research on Cloud services from the business perspective and the limitations and challenges SMEs encounter when pursuing international business growth. Thus, the main research question of this study was how Cloud services may enable Finnish SMEs to overcome international growth challenges. The research question was further divided into three sub-questions dealing with matters related to features and characteristics of Cloud services, limitations and challenges Finnish SMEs experience when pursuing international growth of business, and benefits and advantages of utilizing Cloud services to mitigate and suppress international growth challenges. First, the theoretical framework of this study was constructed based on the existing literature on Cloud services, SMEs, and international growth challenges. After this, qualitative research approach and methodology were applied for this study. The data was collected through six semi-structured expert interviews in person with representatives of IBM, Exidio, Big Data Solutions, and Comptel. After analyzing the collected data by applying thematic analysis method, the results were compared with the existing theory and the original framework was modified and complemented accordingly. Resource scarcity, customer base expansion and retention, and lack of courage to try new things and take risks turned out to be major international growth challenges of Finnish SMEs. Due to a number of benefits and advantages of utilizing Cloud services including service automation, consumption-based pricing model, lack of capital expenditures (capex) and huge upfront investments, lightened organization structure, cost savings, speed, accessibility, scalability, agility, geographical expansion potential, global reaching and covering, credibility, partners, enhanced CRM, freedom, and flexibility, it can be concluded that Cloud services can help directly and indirectly Finnish SMEs to mitigate and overcome international growth challenges and enable further business growth.

ISA-standardien mukaisen tilintarkastusprosessin tehostaminen – evidenssiä Suomesta

Tilintarkastuksen sääntely on lisääntynyt merkittävästi 2000-luvulla. Samalla kilpailu on kiristynyt, tilintarkastuspalkkiot alentuneet ja raportointiaikataulut tiukentuneet. Näistä tekijöistä johtuen tilintarkastuksen tehostamiselle on tarvetta. Tämän tutkielman tavoitteena on selvittää ja tutkia, miten tilintarkastusprosessia voidaan tehostaa sekä arvioida eri tehostamiskeinojen käyttöarvoa punnitsemalla niiden mahdollisuuksia ja haasteita. Tutkielman empiirinen osa on toteutettu laadullisena tutkimuksena. Aineisto on kerätty haastattelemalla suomalaisia tilintarkastajia ja analyysimenetelmänä on käytetty teemoittelua. Empiirisessä osassa tutkitaan, miltä teoriasta löydettyjen tehostamiskeinojen käyttömahdollisuudet näyttävät käytännössä ja selvitetään, millä muilla keinoilla tilintarkastusprosessia voidaan tehostaa. Tutkimuksen perusteella tilintarkastuksen suunnitteluvaihetta voidaan tehostaa tilintarkastajien erikoistumisen, dokumentoinnin standardoinnin, sähköisen materiaalin tehokkaamman hyödyntämisen ja palvelukeskusten hyödyntämisen avulla. Toteutusvaihetta voidaan tehostaa näiden lisäksi big data -menetelmillä ja kontrollien tarkastuksella.