Location intelligence strategisen päätöksenteon tukena

Kilpailuetua tavoittelevan yrityksen pitää kyetä jalostamaan tietoa ja tunnistamaan sen avulla uusia tulevaisuuden mahdollisuuksia. Tulevaisuuden mielikuvien luomiseksi yrityksen on tunnettava toimintaympäristönsä ja olla herkkänä havaitsemaan muutostrendit ja muut toimintaympäristön signaalit. Ympäristön elintärkeät signaalit liittyvät kilpailijoihin, teknologian kehittymiseen, arvomaailman muutoksiin, globaaleihin väestötrendeihin tai jopa ympäristön muutoksiin. Spatiaaliset suhteet ovat peruspilareita käsitteellistää maailmaamme. Pitney (2015) on arvioinut, että 80 % kaikesta bisnesdatasta sisältää jollakin tavoin viittauksia paikkatietoon. Siitä huolimatta paikkatietoa on vielä huonosti hyödynnetty yritysten strategisten päätösten tukena. Teknologioiden kehittyminen, tiedon nopea siirto ja paikannustekniikoiden integroiminen eri laitteisiin ovat mahdollistaneet sen, että paikkatietoa hyödyntäviä palveluja ja ratkaisuja tullaan yhä enemmän näkemään yrityskentässä. Tutkimuksen tavoitteena oli selvittää voiko location intelligence toimia strategisen päätöksenteon tukena ja jos voi, niin miten. Työ toteutettiin konstruktiivista tutkimusmenetelmää käyttäen, jolla pyritään ratkaisemaan jokin relevantti ongelma. Konstruktiivinen tutkimus tehtiin tiiviissä yhteistyössä kolmen pk-yrityksen kanssa ja siihen haastateltiin kuutta eri strategiasta vastaavaa henkilöä. Tutkimuksen tuloksena löydettiin, että location intelligenceä voidaan hyödyntää strategisen päätöksenteon tukena usealla eri tasolla. Yksinkertaisimmassa karttaratkaisussa halutut tiedot tuodaan kartalle ja luodaan visuaalinen esitys, jonka avulla johtopäätöksien tekeminen helpottuu. Toisen tason karttaratkaisu pitää sisällään sekä sijainti- että ominaisuustietoa, jota on yhdistetty eri lähteistä. Tämä toisen tason karttaratkaisu on usein kuvailevaa analytiikkaa, joka mahdollistaa erilaisten ilmiöiden analysoinnin. Kolmannen eli ylimmän tason karttaratkaisu tarjoaa ennakoivaa analytiikkaa ja malleja tulevaisuudesta. Tällöin ohjelmaan koodataan älykkyyttä, jossa informaation keskinäisiä suhteita on määritelty joko tiedon louhintaa tai tilastollisia analyysejä hyödyntäen. Tutkimuksen johtopäätöksenä voidaan todeta, että location intelligence pystyy tarjoamaan lisäarvoa strategisen päätöksenteon tueksi, mikäli yritykselle on hyödyllistä ymmärtää eri ilmiöiden, asiakastarpeiden, kilpailijoiden ja markkinamuutoksien maantieteellisiä eroavaisuuksia. Parhaimmillaan location intelligence -ratkaisu tarjoaa luotettavan analyysin, jossa tieto välittyy muuttumattomana päätöksentekijältä toiselle ja johtopäätökseen johtaneita syitä on mahdollista palata tarkastelemaan tarvittaessa uudelleen.

Adopting the Vaadin Java framework to rebuild VTT’s Web Interfaces and Database Applications

With the growth in new technologies, using online tools have become an everyday lifestyle. It has a greater impact on researchers as the data obtained from various experiments needs to be analyzed and knowledge of programming has become mandatory even for pure biologists. Hence, VTT came up with a new tool, R Executables (REX) which is a web application designed to provide a graphical interface for biological data functions like Image analysis, Gene expression data analysis, plotting, disease and control studies etc., which employs R functions to provide results. REX provides a user interactive application for the biologists to directly enter the values and run the required analysis with a single click. The program processes the given data in the background and prints results rapidly. Due to growth of data and load on server, the interface has gained problems concerning time consumption, poor GUI, data storage issues, security, minimal user interactive experience and crashes with large amount of data. This thesis handles the methods by which these problems were resolved and made REX a better application for the future. The old REX was developed using Python Django and now, a new programming language, Vaadin has been implemented. Vaadin is a Java framework for developing web applications and the programming language is extremely similar to Java with new rich components. Vaadin provides better security, better speed, good and interactive interface. In this thesis, subset functionalities of REX was selected which includes IST bulk plotting and image segmentation and implemented those using Vaadin. A code of 662 lines was programmed by me which included Vaadin as the front-end handler while R language was used for back-end data retrieval, computing and plotting. The application is optimized to allow further functionalities to be migrated with ease from old REX. Future development is focused on including Hight throughput screening functions along with gene expression database handling

Business intelligence – enabling self-service: A case study in a global manufacturing company

Business intelligence (BI) is an information process that includes the activities and applications used to transform business data into valuable business information. Today’s enterprises are collecting detailed data which has increased the available business data drastically. In order to meet changing customer needs and gain competitive advantage businesses try to leverage this information. However, IT departments are struggling to meet the increased amount of reporting needs. Therefore, recent shift in the BI market has been towards empowering business users with self-service BI capabilities. The purpose of this study was to understand how self-service BI could help businesses to meet increased reporting demands. The research problem was approached with an empirical single case study. Qualitative data was gathered with a semi-structured, theme-based interview. The study found out that case company’s BI system was mostly used for group performance reporting. Ad-hoc and business user-driven information needs were mostly fulfilled with self-made tools and manual work. It was felt that necessary business information was not easily available. The concept of self-service BI was perceived to be helpful to meet such reporting needs. However, it was found out that the available data is often too complex for an average user to fully understand. The respondents felt that in order to self-service BI to work, the data has to be simplified and described in a way that it can be understood by the average business user. The results of the study suggest that BI programs struggle in meeting all the information needs of today’s businesses. The concept of self-service BI tries to resolve this problem by allowing users easy self-service access to necessary business information. However, business data is often complex and hard to understand. Self-serviced BI has to overcome this challenge before it can reach its potential benefits.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.

Intelligence in peace support operations

Finnish Defence Studies is published under the auspices of the National Defence College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the National Defence College.

The legal framework for energy provisions in the European Union – With special regard to providing of energy provisions within the scope of Article 194(2) TFEU

The thesis interprets the caveat of Article 194(2) TFEU in order to assess the use of the Article as a legal basis for energy provisions provided by the European Union. The research subject is the Energy Title in the Treaty of the Functioning of the European Union and the possibilities of the application of the legal basis provided therein. The purpose is analysis of the possibilities for providing of provisions within the scope of the caveat found in Article 194(2) TFEU with special regard to the possibilities of providing renewable energy legislation. The purpose of the thesis is on one hand to provide an overview of the premises for providing of energy provisions in the EU, and on the other hand to analyse the Treaty text in order to determine the legal basis for energy provisions. The ultimate objective is to determine the correct legal basis for renewable energy provisions, aimed at the mitigation of climate change. According to Article 194(2) TFEU, the practice of the shared legislative powers in the field of energy are restricted by the retention of certain energy matters within the power of the Member States. The wording of the caveat containing the restrictions is open to interpretation and has been a subject of extensive discussion. Many scholars have argued that the caveat in Article 194(2) TFEU might obstruct decision-making in energy matters. This argument is contested, and the factual impact of the codification of the energy competences is analysed. The correct legal basis for energy provisions depends on the final interpretation of the text of the caveat and the level of significance of the effect of the measure. The use of Article 194(2) TFEU as a legal basis might not be the only option. There is a possibility that the legal bases within the Environmental Title might be used as legal bases for energy provisions in addition to Article 194(2) TFEU.

Detecting Deceit – Guessing or Assessing? Study on the Applicability of Veracity Assessment Methods in Human Intelligence

Intelligence from a human source, that is falsely thought to be true, is potentially more harmful than a total lack of it. The veracity assessment of the gathered intelligence is one of the most important phases of the intelligence process. Lie detection and veracity assessment methods have been studied widely but a comprehensive analysis of these methods’ applicability is lacking. There are some problems related to the efficacy of lie detection and veracity assessment. According to a conventional belief an almighty lie detection method, that is almost 100% accurate and suitable for any social encounter, exists. However, scientific studies have shown that this is not the case, and popular approaches are often over simplified. The main research question of this study was: What is the applicability of veracity assessment methods, which are reliable and are based on scientific proof, in terms of the following criteria? o Accuracy, i.e. probability of detecting deception successfully o Ease of Use, i.e. easiness to apply the method correctly o Time Required to apply the method reliably o No Need for Special Equipment o Unobtrusiveness of the method In order to get an answer to the main research question, the following supporting research questions were answered first: What kinds of interviewing and interrogation techniques exist and how could they be used in the intelligence interview context, what kinds of lie detection and veracity assessment methods exist that are reliable and are based on scientific proof and what kind of uncertainty and other limitations are included in these methods? Two major databases, Google Scholar and Science Direct, were used to search and collect existing topic related studies and other papers. After the search phase, the understanding of the existing lie detection and veracity assessment methods was established through a meta-analysis. Multi Criteria Analysis utilizing Analytic Hierarchy Process was conducted to compare scientifically valid lie detection and veracity assessment methods in terms of the assessment criteria. In addition, a field study was arranged to get a firsthand experience of the applicability of different lie detection and veracity assessment methods. The Studied Features of Discourse and the Studied Features of Nonverbal Communication gained the highest ranking in overall applicability. They were assessed to be the easiest and fastest to apply, and to have required temporal and contextual sensitivity. The Plausibility and Inner Logic of the Statement, the Method for Assessing the Credibility of Evidence and the Criteria Based Content Analysis were also found to be useful, but with some limitations. The Discourse Analysis and the Polygraph were assessed to be the least applicable. Results from the field study support these findings. However, it was also discovered that the most applicable methods are not entirely troublefree either. In addition, this study highlighted that three channels of information, Content, Discourse and Nonverbal Communication, can be subjected to veracity assessment methods that are scientifically defensible. There is at least one reliable and applicable veracity assessment method for each of the three channels. All of the methods require disciplined application and a scientific working approach. There are no quick gains if high accuracy and reliability is desired. Since most of the current lie detection studies are concentrated around a scenario, where roughly half of the assessed people are totally truthful and the other half are liars who present a well prepared cover story, it is proposed that in future studies lie detection and veracity assessment methods are tested against partially truthful human sources. This kind of test setup would highlight new challenges and opportunities for the use of existing and widely studied lie detection methods, as well as for the modern ones that are still under development.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.

The Banco Central do Brasil's institutional framework after ten years

The Banco Central do Brazil (BACEN) adopted inflation targeting in 1999. This monetary policy regime originates in institutional design which remains crucial today for the expectations management, and is in permanent evolution. After 10 years, the BACEN institutional framework is assessed, asking if there is still room for improvement. Various institutional procedures are analysed, and lessons are drawn from the international experience of a panel of sixteen countries. Some proposals for the BACEN institutional framework are made.

Framework for Marketing Automation: Case Vaisala

Työ käsittelee Markkinoinnin Automaatiota, viitekehyksen rakentamista Markkinoinnin Automaation käyttöönottoon ja sen hyödyntämiselle markkinoinnin ja myynnin putken hallinnassa. Työ on suoritettu tapaustutkimuksena, jonka primääri datana on käytetty puoli-strukturoituja haastatteluja ja sekundääri datana on käytetty dataa myynnin tietojärjestelmistä. Kirjallisuuskatsaus markkinoinnin automaatioon paljastaa, että aihetta ei ole juurikaan tutkittu akateemisesti. Etenkin selkeitä aukkoja teorioissa on miten markkinoinnin automaatiota kannattaisi aloittaa ja miten siihen tarvittavia kamppanjoita kannattaisi rakentaa. Tapaustutkimuksen tuloksena selvisi selkeät ongelma kohdat nykysessä markkinoinnin ja myynnin putkessa, ja myös kohdat joissa markkinoinnin automaatio voi olla avuksi. Suurin osa ongelma kohdista on markkinoinnin ja myynnin välissä. Toimiakseen markkinoinnin automaatio vaatii selkeät määritykset yrityksessä Liidille ja miten sitä käsitellään. Toimivuuden takaamiseksi se tarvitsee myös jatkuvaa palautetta liideistä ja myynneistä. Alue mikä myös tarvitsee muutosta paremman toimivuuden takaamiseksi on markkinoinnin kamppanjoiden suunnittelu, yhdessä myynnin kanssa ja asiakkaan polku edellä. Tulevaisuuden tavoitteena tulisi olla viestien personointi ja asiakkaiden profilointi. Tulevaisuuden tutkimuskohteet olisivat erittäin avuliaita yrityksille, varsinki jos ne käsittelisivät käyttöönottoa tai personointia.

Design thinking framework of experience innovation

Innovation remains one of the key drivers of sustainable and successful business. The variety of innovation approaches such as open models, intersectional thinking and co-creation tackles the challenge of viable novel offerings across the world. These approaches have certain similarities and their elements constitute design thinking. Recent market and society trends such as technological advances and globalization have intensify companies’ interaction with customers. Emotional engagement, pleasing communication and delight have gained equal to functionality importance. The complex of these components constitutes consumer experience. Academic research conceptualizes these changes by introducing customer-centered innovation, which replaces product-oriented approaches. However, both methods omit experience concept and provide fragmented explanation of experience innovation. Experience is an essential process of offering perception, which drives customer decisions. Therefore, an agenda of experience innovation development can systemize and explain the mechanisms of experience innovation. The purpose of this study is to create and explain the stage process framework of experience innovation by the means of design thinking approach. The research proceeds in accordance with the following sub-objectives: 1. Conceptualization of consumer experience through customer value. 2. Creation of experience innovation framework by the means of design thinking. This study is conducted by the means of conceptual research methods. The main theoretical contribution of the study is creation of the integrated framework of consumer experience innovation. The elaboration of design thinking agenda and methods applied to experience design builds the guidelines of experience innovation development. This research synthesizes the conceptual elements of the framework that resolves inconsistencies and duplications of theories. This essential clarification simplifies application of the experience innovation agenda, which can be useful for the wide range of specialists, from marketing to strategists, and from managers to entrepreneurs, willing to offer compelling experience to customers. The study highlights the crucial role of consumer experience in maintaining customer loyalty and designs the roadmap of innovating experience through the communication with customers.

The legal framework for energy provisions in the European Union – With special regard to providing of energy provisions within the scope of Article 194(2) TFEU

The thesis interprets the caveat of Article 194(2) TFEU in order to assess the use of the Article as a legal basis for energy provisions provided by the European Union. The research subject is the Energy Title in the Treaty of the Functioning of the European Union and the possibilities of the application of the legal basis provided therein. The purpose is analysis of the possibilities for providing of provisions within the scope of the caveat found in Article 194(2) TFEU with special regard to the possibilities of providing renewable energy legislation. The purpose of the thesis is on one hand to provide an overview of the premises for providing of energy provisions in the EU, and on the other hand to analyse the Treaty text in order to determine the legal basis for energy provisions. The ultimate objective is to determine the correct legal basis for renewable energy provisions, aimed at the mitigation of climate change. According to Article 194(2) TFEU, the practice of the shared legislative powers in the field of energy are restricted by the retention of certain energy matters within the power of the Member States. The wording of the caveat containing the restrictions is open to interpretation and has been a subject of extensive discussion. Many scholars have argued that the caveat in Article 194(2) TFEU might obstruct decision-making in energy matters. This argument is contested, and the factual impact of the codification of the energy competences is analysed. The correct legal basis for energy provisions depends on the final interpretation of the text of the caveat and the level of significance of the effect of the measure. The use of Article 194(2) TFEU as a legal basis might not be the only option. There is a possibility that the legal bases within the Environmental Title might be used as legal bases for energy provisions in addition to Article 194(2) TFEU.

In Search for the European solidarity: The rule of law within the European Union in the framework of constitutional pluralism

The dissertation examines the rule of law within the European Union in the theoretical framework of constitutional pluralism. The leading lines of constitutional pluralism are examined with relation to the traditional and prevailing, monistic and hierarchical conceptions on how to perceive legal orders in Europe. The theoretical part offers also historical perspective by highlighting some of the turning points for the Union constitutional legal order in the framework of European integration. The concept of rule of law is examined in legal terms and its meaning to the Union constitutional constellation as a constitutional principle and a common value is observed. The realization of the rule of law at supranational and national level is explored with a view to discover that recent developments in some of the Member States give rise to concern about the viability of the rule of law within the European Union. It is recognized that the inobservance of the rule of law at national level causes a threat to the supranational constitutional legal order. The relationship between the supranational and national legal orders is significant in this respect and therefore particularly the interaction between the Court of Justice of the European Union (hereinafter the ECJ) and the Member States’ (constitutional/supreme) courts takes focus. It is observed that functioning dialogue between the supranational and national courts based on mutual respect and judicial deference is an important prerequisite for the realization of the rule of law within Europe. In order to afford a concrete example, a recent case C-62/14 Gauweiler v Deutscher Bundestag is introduced and analysed in relation to the notorious relationship between the Federal Constitutional Court of Germany and the ECJ. The implications of the ECJ’s decision in Gauweiler v Deutscher Bundestag is assessed with reference to some of the pressing issues of constitutionalism within Europe and some institutional aspects are also brought forward. Lastly, the feasibility of constitutional pluralism as a theoretical setting is measured against the legal reality of today’s Europe and its many constitutions. The hierarchical idea of one ultimate source of power, stemming from the traditional approaches to legal systems, is then assessed with relation to the requirement of the realization of the rule of law within the European Union from the supranational and national point of view.

A framework to understand human action

This paper consists in an analysis of two explanatory models of human behaviour which play a prominent role in the contemporary literature on human action. The first model - the causalist - aims at explaining action in terms of causes and general laws. The second model - the intentionalist - explains human action in terms of intentions and practical syllogism. The difficulties of both models are presented and in the last part of the essay we propose one alternative model, based on the notion of retroduction.

Business Intelligence Competency Centerin perustaminen: Case LähiTapiola

Tässä diplomityössä selvitetään case-tutkimuksena parhaita käytäntöjä Business Intelligence Competency Centerin (BICC) eli liiketoimintatiedonhallinnan osaamiskeskuksen perustamiseen. Työ tehdään LähiTapiolalle, jossa on haasteita BI-alueen hallinnoinnissa kehittämisen hajaantuessa eri yksiköihin ja yhtiöihin. Myös järjestelmäympäristö on moninainen. BICC:llä tavoitellaan parempaa näkyvyyttä liiketoiminnan tarpeisiin ja toisaalta halutaan tehostaa tiedon hyödyntämistä johtamisessa sekä operatiivisen tason työskentelyssä. Tavoitteena on lisäksi saada kustannuksia pienemmäksi yhtenäistämällä järjestelmäympäristöjä ja BI-työkaluja kuten myös toimintamalleja. Työssä tehdään kirjallisuuskatsaus ja haastatellaan asiantuntijoita kolmessa yrityksessä. Tutkimuksen perusteella voidaan todeta, että liiketoiminnan BI-tarpeita kannattaa mahdollistaa eri tasoilla perusraportoinnista Ad-hoc –raportointiin ja edistyneeseen analytiikkaan huomioimalla nämä toimintamalleissa ja järjestelmäarkkitehtuurissa. BICC:n perustamisessa liiketoimintatarpeisiin vastaaminen on etusijalla.