Search results for "Business intelligence"

showing 10 items of 45 documents

Business Intelligence and Analytics in Small and Medium-sized Enterprises: A Systematic Literature Review

2017

Despite much interest in business intelligence and analytics (BI&A), empirical research shows that small and medium-sized enterprises (SMEs) are still lagging behind in the proliferation of BI&A. However, there are no studies found on literature reviewing research on BI&A in SMEs. This paper collects, categorizes, synthesizes, and analyzes 62 articles related to BI&A in SMEs. The identified research topics being addressed in BI&A include: BI&A components, BI&A solutions, Mobile BI&A, Cloud BI&A, BI&A application, BI&A adoption, BI&A implementation, and BI&A benefits. Further, research gaps and directions for future research are presented to facilitate the progression of BI&A in SMEs researc…

Knowledge managementbusiness.industryComputer scienceCloud computing02 engineering and technologyEmpirical researchAnalytics020204 information systemsBusiness intelligence0202 electrical engineering electronic engineering information engineeringLiterature reviewingGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingbusinessGeneral Environmental ScienceProcedia Computer Science
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The ‘magic square’: A roadmap towards emotional business intelligence

2014

Emotions are known to be an important driver in human behaviour and decision-making. In the business world, there is a growing belief that emotions are not an obstacle but rather an enabler for a successful business. Business intelligence (by providing analytical processing and convenient presentation of a business data) traditionally supports rational decision-making. However, opposite to former opinion that all decisions should be ‘cleansed’ of emotions, there are more and more indicators of the need for solutions supporting also emotional decision-making. The domain of emotional business intelligence, suggested in this paper, concerns emotional and emotion-aware decisions, intuition, inn…

Knowledge managementmedia_common.quotation_subjectemotionLibrary and Information Sciencesemotional intelligencebusiness intelligenceManagement Information SystemsEmotional competencetunneälyemotional businessGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)media_commonta113business.industryHuman intelligenceEmotional intelligencedecision-makingCreativityObstacleEnablingBusiness analysisBusiness intelligencerational vs. emotionalsemantic technologybusinessPsychology
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Klientu apkalpošanas centru informācijas integrācija Oracle datu noliktavā

2015

Klientu apkalpošanas centru informācijas integrācija Oracle datu noliktavā ir daļa no uzņēmuma datu ielādes procesa. Darbā aprakstīts klientu apkalpošanas centru datu ielādes process un atskaites. Darbs realizēts izmantojot Oracle Data Integrator 11g un Oracle Buisness Intelligence Enterprise Edition 11g. Kvalifikācijas darbā iekļauta programmatūras prasību specifikācija, programmatūras projektējuma apraksts, testēšanas dokumentācija, programmatūras projekta pārvaldība, kvalitātes nodrošināšana, konfigurācijas pārvaldība, darbietilpības novērtējums, izmantotā literatūra un pielikums. Pielikumā pievienots: programmatūras koda piemērs, XML faili un tiem atbilstošās XML shēmas.

QminderData WarehouseDatorzinātneDatu noliktavaOracle Business IntelligenceOracle Data Integrator
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Quality Improvement Based on Big Data Analysis

2016

Big data analysis has become an important trend in computer science. Quality improvement is a constant in current industry trends. In this paper, we present an idea of quality improvement based on big data analysis with the aid of linked data and ontologies in order to implement it in the case of automotive parts production. We consider defective automotive products and try to find the best refurbishment solution for them considering their characteristics. Moreover, we propose to develop a recommender system that is able to give recommendations in order to prevent or to alleviate defects and to provide insights for possible causes that led to these defective parts. This study intends to hel…

Quality managementbusiness.industryComputer sciencemedia_common.quotation_subjectBig dataAutomotive industryLinked dataRecommender systemData modelingRisk analysis (engineering)Business intelligenceQuality (business)businessmedia_common
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Business intelligence requirements in small sized enterprises

2016

Pienet ja keskisuuret yritykset keräävät nykyisin suuren määrän tietoa ja ovat kiinnostuneet Business Intelligencestä (BI), liiketoimintatiedon hallinnasta, pärjätäkseen kilpailussa liiketoimintaympäristössä. PK-yritykset ovat merkittäviä paikallisessa, kansallisessa ja jopa globaalissa mittakaavassa, sillä ne muodostavat ison osan taloudesta. Siitä huolimatta on tutkittu hyvin vähän sitä, minkälaisia vaatimuksia ja tarpeita näillä yrityksillä on BI:tä kohtaan. Tämän Pro gradu -tutkimuksen tavoitteena on selvittää näitä vaatimuksia kvalitatiivisessa tutkimuksessa teema- ja puolistrukturoidulla haastatteluilla. Yhdistävä tekijä BI-termistössä ja näkökulmissa on, se että kaikissa määrityksiss…

Small and Medium sized EnterprisesRequirementspienet ja keskisuuret yrityksetvaatimuksetbusiness intelligence
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Strateginen ja ennakoiva toimintaympäristön seuranta : suomalaisten suuryritysten strategiajohtajien näkemyksiä toimintaympäristön seurannan merkityk…

2013

Toimintaympäristön seuranta on aktiivista tietämyksen luomista yritystä ympäröivästä toimintakentästä. Toimintaympäristön seuranta koostuu informaation keräämisestä, prosessoinnista, analysoinnista ja hyödyntämisestä. Jalostamalla irtonaista dataa ja informaatiota yritykselle merkitykselliseksi tietämykseksi, on mahdollista tukea yrityksen päätöksentekoa ja toiminnan suunnittelua. Ennakoiva ja strateginen toimintaympäristön seuranta on näin ollen tarkoituksenmukaista, yrityksen nykytilan ja tulevaisuuden huomioon ottavaa toimintaa, jolla pyritään yrityksen kannattavuuden ja jatkuvuuden varmistamiseen pidemmällä aikavälillä. Tutkimuksen tarkoituksena on luoda ymmärrystä strategisen ja ennako…

Suomitoimintaympäristön seurantaHaastattelututkimusintelligencetoimintaympäristösuuryrityksetennakointistrategisuussuomalaiset suuryrityksetbusiness intelligence
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Fusing storage and computing for the domain of business intelligence and analytics: research opportunities

2015

With the growing importance of external and shared data, the set of requirements for Business Intelligence and Analytics (BIA) is shifting. Current solutions still come with shortcomings, esp. In multi-stakeholder environments where sensitive content is exchanged. We argue that a new level in the evolution of BIA can be unlocked by tearing down the barriers between storage and computing based on upcoming storage technologies. In particular, we propose a revitalization of ideas from object-oriented databases. We present results from a joint project that aimed at delineating design options for BIA solutions built upon this idea. The paper outlines the interplay of various architectural layers…

Supply chain managementCompetitive intelligenceComputer sciencebusiness.industryObject-oriented databasesCloud computingStorage managementData scienceData modelingDomain (software engineering)Business intelligenceBases de dades orientades a objectesAnalyticsBusiness intelligenceCompetitive intelligenceBusiness logicbusiness:Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]Intel·ligència competitiva
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Managing Sustainability with Eco-Business Intelligence Instruments

2014

Abstract In response to increasing concerns of society about environmental degradation and increasing demands for a transition to a more sustainable society, the business companies are increasingly active in aligning their processes and services with a sustainability agenda. Production, distribution and supply of goods and services require material and energy consumption, having an impact on natural resources both quantitatively and qualitatively, generating waste, pollution and disrupting ecosystems. Ecobusiness intelligence is the capacity of people, processes and applications/tools to organize business information, to facilitate consistent access to them and analyse them in order to impr…

Sustainable developmentBusiness informationProcess managementGoods and servicesbusiness.industrySustainable managementSustainabilityBusiness intelligenceEnvironmental resource managementEco-efficiencybusinessSocial responsibilityManagement of Sustainable Development
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Using OLAP Data Cubes in Business Intelligence

2016

Abstract The purpose of this paper is to demonstrate that it is possible to develop business intelligence projects in big and medium-size organizations, only with Microsoft products, used in accordance with standard OLAP cube technology, and presented possible alternatives, in relation with the requested functions.

Ubusiness.industryOnline analytical processingmicrosoft sql server 2008data miningGeneral MedicineData sciencebusiness intelligenceMilitary policyData cubedata cubesMilitary ScienceBusiness intelligenceolap technologyBusiness managementbusinessScientific Bulletin
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Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering

2015

20 pages; International audience; Data warehouses (DW) and OLAP systems are business intelligence technologies allowing the on-line analysis of huge volume of data according to users' needs. The success of DW projects essentially depends on the design phase where functional requirements meet data sources (mixed design methodology) (Phipps and Davis, 2002). However, when dealing with complex applications existing design methodologies seem inefficient since decision-makers define functional requirements that cannot be deduced from data sources (data driven approach) and/or they have not sufficient application domain knowledge (user driven approach) (Sautot et al., 2014b). Therefore, in this p…

[SDE] Environmental SciencesMultidimensional designData Warehouse[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingOLAPbusiness.industryComputer scienceOnline analytical processingCLUSTERING HIERARCHIQUEVolume (computing)Functional requirementcomputer.software_genreData warehouseData-driven[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingApplication domain[SDE]Environmental SciencesBusiness intelligenceData MiningData mining[SDE.BE]Environmental Sciences/Biodiversity and EcologybusinessDesign methodscomputerProceedings of the 17th International Conference on Enterprise Information Systems
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