Strategian toimeenpano: Selitettävien tekijöiden tunnistus onnistuneen liiketoiminta-analytiikan toimeenpanoa varten organisaatiossa

In the contemporary era where the value of data is being compared to oil, it is no wonder that executives are actively pursuing to extract value from data with business analytics to gain competitive advantage. Despite accelerating investments into business analytics, there lacks a unified model for executives to rely on during the implementation process, hence explaining the large variance partially amongst organizations’ ROIs. This thesis, therefore, addresses the void by proposing a conceptual model for business analytics implementation (CMBAI) for executives to utilize when implementing business analytics. To address the void rightfully, initially, I identify an organizational model framework that holistically considers the multidimensional internal environment of an organization when implementing a strategy. This is followed by the identification of business analytics conformities associated with each variable under the chosen organizational model framework, creating a rudimentary CMBAI. The CMBAI is finally developed and consolidated by cross-referencing it against a case study in accordance to abductive research methodology. The revised CMBAI model is framed around the McKinsey 7S Framework (M7S), thus addressing comprehensively the variables related to strategy implementation. The model identifies three overarching themes that influence the success of reaping the benefits of business analytics: (1) leadership- structured manner of communication in both strategical and operational level synchronized with a leadership style that both ease organizational adoption of business analytics and promotes active insight generation to occur among employees; (2) organizational BA competency- ensuring competency in both system level through business analytic tools and human level through multiple level skill development; and (3) ownership facilitation- enablement of an appropriate structure and culture that promote to self-initiatively take actions based on insights gathered. Moreover, research indicates the entangled nature of M7S variables requires business analytics implementors to take a holistic approach to implementation in contrast to focusing only on a handful of elements related to business analytics. The research contributes to the existing theory by unifying the vast scope of business analytics literature under a single research and provides an in-depth analysis of the success factors when applying business analytics. Despite consolidation of CMBAI for becoming a universal model requires further similar studies to be conducted, this thesis provides a solid foundation for a holistic business analytics implementation model to emerge.Siinä missä nyky-yhteiskunnassa rinnastetaan öljyn arvoa dataan, on täysin luonnollista, että yritysjohtajat pyrkivät aktiivisesti hyödyntämään dataa luodakseen kilpailuetua kilpailijoihinsa nähden. Huolimatta kasvavista sijoituksesta liiketoiminta-analytiikkaan, yrityksiltä puuttuu yhteinen malli liiketoiminta-analytiikan täytäntöönpanoon, joka osin selittää yritysten välisen suurehkon hajonnan liiketoiminta-analytiikan sijoitetun pääoman tuottoprosenteissa. Tämä diplomityö pyrkii vastaamaan edellä mainittuun tarpeeseen ehdottamalla käsitteellisen mallin liiketoiminta-analytiikan täytäntöönpanoon (KMLAT). Vastatakseen tarpeeseen oikeudenmukaisesti, pyrin alussa tunnistamaan viitekehyksen, joka ottaa organisaation moniulotteisen sisäisen ympäristön huomioon toimeenpantaessa uutta strategiaa. Seuraavana selvitän valitun viitekehyksen muuttujien liiketoiminta-analytiikan keskinäiset alaisuudet luodakseen alustavan KMLAT:n. Hyödyntäen abduktiivista tutkimusmenetelmää, KMLAT:ia jatkojalostetaan ja sen asemaa vahvistetaan käyttämällä sitä erään tapausyrityksen tutkimisessa. Diplomityön lopullinen KMLAT perustuu McKinsey:n 7S viitekehykseen, jolla saadaan kokonaisvaltainen ymmärrys organisaation muuttujista toimeenpantaessa strategiaa. Mallin avulla on tunnistettu kolme rajoja ylittävää teema, jotka vaikuttavat liiketoiminta-analytiikan menestykselliseen toimeenpanoon; johtajuus, organisaation liiketoiminta-analytiikka kyvykkyys, ja omistajuuden edistäminen. Johtajuudessa merkittävinä osatekijöinä ovat strateginen ja operatiivinen viestintä, ja johtamismalli, joka edistää oivalluksien tuottamista. Organisaation liiketoiminta-analytiikka kyvykkyys taas ottaa kantaa tekijöistä, joihin tulisi erityisesti asettaa huomiota kehittäessä liiketoimintaa-analytiikka järjestelmää ja työntekijöitä. Kolmanneksi, omistajuuden edistäminen organisaatiorakenne ja kulttuuritasolla on havaittu olennaiseksi tekijäksi toimeenpannakseen käytäntöön liiketoiminta-analytiikasta saadut havainnot. Tämä tutkimus edistää olemassa olevaa liiketoiminta-analytiikkaa kirjallisuutta yhdistämällä niitä yhden tutkimuksen alle ja tuo perusteellisen analyysin kriittisistä menetystekijöistä toimeenpantaessa liiketoiminta-analytiikkaa. Vaikka KMLAT:ia on jatkojalostettu erään tutkimustapauksen avulla, sitä tulee jatkojalostaa ja vahvistaa edelleen, jotta mallia voidaan pitää yleispätevänä. Siitä huolimatta, tämä diplomityö luo vankan perustan tulevalle tutkimukselle, ja toimii lähtökohtana rakentaessa yleismallia liiketoiminta-analytiikan toimeenpanoa varten

Healthcare Data Analytics on the Cloud

Meaningful analysis of voluminous health information has always been a challenge in most healthcare organizations. Accurate and timely information required by the management to lead a healthcare organization through the challenges found in the industry can be obtained using business intelligence (BI) or business analytics tools. However, these require large capital investments to implement and support the large volumes of data that needs to be analyzed to identify trends. They also require enormous processing power which places pressure on the business resources in addition to the dynamic changes in the digital technology. This paper evaluates the various nuances of business analytics of healthcare hosted on the cloud computing environment. The paper explores BI being offered as Software as a Service (SaaS) solution towards offering meaningful use of information for improving functions in healthcare enterprise. It also attempts to identify the challenges that healthcare enterprises face when making use of a BI SaaS solution

Hierarchical video surveillance architecture: a chassis for video big data analytics and exploration

There is increasing reliance on video surveillance systems for systematic derivation, analysis and interpretation of the data needed for predicting, planning, evaluating and implementing public safety. This is evident from the massive number of surveillance cameras deployed across public locations. For example, in July 2013, the British Security Industry Association (BSIA) reported that over 4 million CCTV cameras had been installed in Britain alone. The BSIA also reveal that only 1.5% of these are state owned. In this paper, we propose a framework that allows access to data from privately owned cameras, with the aim of increasing the efficiency and accuracy of public safety planning, security activities, and decision support systems that are based on video integrated surveillance systems. The accuracy of results obtained from government-owned public safety infrastructure would improve greatly if privately owned surveillance systems ‘expose’ relevant video-generated metadata events, such as triggered alerts and also permit query of a metadata repository. Subsequently, a police officer, for example, with an appropriate level of system permission can query unified video systems across a large geographical area such as a city or a country to predict the location of an interesting entity, such as a pedestrian or a vehicle. This becomes possible with our proposed novel hierarchical architecture, the Fused Video Surveillance Architecture (FVSA). At the high level, FVSA comprises of a hardware framework that is supported by a multi-layer abstraction software interface. It presents video surveillance systems as an adapted computational grid of intelligent services, which is integration-enabled to communicate with other compatible systems in the Internet of Things (IoT)

Alexandria: Extensible Framework for Rapid Exploration of Social Media

The Alexandria system under development at IBM Research provides an extensible framework and platform for supporting a variety of big-data analytics and visualizations. The system is currently focused on enabling rapid exploration of text-based social media data. The system provides tools to help with constructing "domain models" (i.e., families of keywords and extractors to enable focus on tweets and other social media documents relevant to a project), to rapidly extract and segment the relevant social media and its authors, to apply further analytics (such as finding trends and anomalous terms), and visualizing the results. The system architecture is centered around a variety of REST-based service APIs to enable flexible orchestration of the system capabilities; these are especially useful to support knowledge-worker driven iterative exploration of social phenomena. The architecture also enables rapid integration of Alexandria capabilities with other social media analytics system, as has been demonstrated through an integration with IBM Research's SystemG. This paper describes a prototypical usage scenario for Alexandria, along with the architecture and key underlying analytics.Comment: 8 page

Use of information technology to increase economic efficiency and credibility in public administration in the context of digitization

Purpose: The article analyzes the use of information technologies to increase the level of economic efficiency and trust in public administration in Ukraine. Design/Methodology/Approach: We use the concept of digital management for the purpose of integrated interaction of municipal and state structures with business, civil society institutions and the population. Findings: The conducted research concludes the active digital transformation of public administration in Ukraine. The following trends in the use of information technology are identified: the development of institutional support; the creation of analytical portals for ensuring public control; the level of accountability, transparency, accountability of the activity of civil servants; the implementation of e-government projects; the changing philosophy of development of electronic services. Practical Implications: The concept of state policy in the field of digital infrastructure was developed on the basis of a multi-stakeholder approach according to which the main purpose of the state bodies is to identify, prioritize, harmonize and satisfy the stakeholders. Originality/Value: In this article, we show the level of individual regions in Ukraine where there is uneven implementation and use of e-learning tools management.peer-reviewe

Values-Based Network Leadership in an Interconnected World

This paper describes values-based network leadership conceptually aligned to systems science, principles of networks, moral and ethical development, and connectivism. Values-based network leadership places importance on a leader\u27s repertoire of skills for stewarding a culture of purpose and calling among distributed teams in a globally interconnected world. Values-based network leadership is applicable for any leader needing to align interdependent effort by networks of teams operating across virtual and physical environments to achieve a collective purpose. An open-learning ecosystem is also described to help leaders address the development of strengths associated with building trust and relationships across networks of teams, aligned under a higher purpose and calling, possessing moral fiber, resilient in the face of complexity, reflectively competent to adapt as interconnected efforts evolve and change within multicultural environments, and able to figure out new ways to do something never done before

Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language

Cowling, MA ORCiD: 0000-0003-1444-1563; Munoz Carpio, JC ORCiD: 0000-0003-0251-5510Systems Analysis modelling is considered foundational for Information and Communication Technology (ICT) students, with introductory and advanced units included in nearly all ICT and computer science degrees. Yet despite this, novice systems analysts (learners) find modelling and systems thinking quite difficult to learn and master. This makes the process of teaching the fundamentals frustrating and time intensive. This paper will discuss the foundational problems that learners face when learning Systems Analysis modelling. Through a systematic literature review, a framework will be proposed based on the key problems that novice learners experience. In this proposed framework, a sequence of activities has been developed to facilitate understanding of the requirements, solutions and incremental modelling. An example is provided illustrating how the framework could be used to incorporate visualization and gaming elements into a Systems Analysis classroom; therefore, improving motivation and learning. Through this work, a greater understanding of the approach to teaching modelling within the computer science classroom will be provided, as well as a framework to guide future teaching activities