scholarly journals Developing Strategic Capability Through Business Intelligence Applications

2019 ◽  
pp. 184-201
Author(s):  
Martin George Wynn ◽  
Daniel Brinkmann
Keyword(s):  
Business Intelligence ◽  
Strategy Development ◽  
Company Performance ◽  
Insurance Company ◽  
Capability Development ◽  
Report Generation ◽  
Research Findings ◽  
Data Provision ◽  
System Access ◽  
Strategic Capability

Company performance can be measured at all levels across an organization, and in the German healthcare industry, business intelligence systems play a crucial role in achieving this. For one major health insurance company (discussed here as an alias – AK Healthcare), the deployment of business intelligence applications has supported sustained growth in turnover and market share in the past five years. In this chapter, these tools are classified within an appropriate conceptual framework which encompasses the organization's information infrastructure and associated processes. Different components of the framework are identified and examples are given: systems infrastructure, data provision/access control, the BI tools and technologies, report generation, and information users. The use and integration of business intelligence tools in the strategy development process is then analyzed, and the key functions and features of these tools for strategic capability development are discussed. Research findings encompass system access, report characteristics, and end-users' capabilities.

scholarly journals Exploiting Business Intelligence for Strategic Knowledge Management

2016 ◽  
Vol 7 (1) ◽  
pp. 11-24 ◽  
Author(s):  
Martin George Wynn ◽  
Daniel Brinkmann
Keyword(s):  
Knowledge Management ◽  
Business Intelligence ◽  
Strategy Development ◽  
Strategic Knowledge ◽  
Insurance Company ◽  
Report Generation ◽  
Research Findings ◽  
Data Provision ◽  
System Access ◽  
Strategic Knowledge Management

In the German healthcare industry, Business Intelligence systems play a crucial role. For one major health insurance company (discussed here as an alias - AK Healthcare), the deployment of Business Intelligence applications has supported sustained growth in turnover and market share in the past five years. In this article, these tools are classified within an appropriate conceptual framework which encompasses the organisation's information infrastructure and associated processes. Different components of the framework are identified and examples are given - systems infrastructure, data provision/access control, the BI tools and technologies themselves, report generation, and information users. The use and integration of Business Intelligence tools in the strategy development process is then analyzed. Finally, the key functions and features of these tools for strategic knowledge management are discussed. Research findings encompass system access, report characteristics, and end-users profiles and capabilities.

Expand Excellence: Business Intelligence Tools for Drilling Data Analysis as Enhanced Efficiency Approach

2021 ◽  
Author(s):  
Farit Rakhmangulov ◽  
Andrey Garipov ◽  
Mikhail Chertenkov
Keyword(s):  
Programming Languages ◽  
Business Intelligence ◽  
Data Model ◽  
Information Needs ◽  
Horizontal Section ◽  
Report Generation ◽  
Suggested Approach ◽  
Drilling Data ◽  
Main Driver ◽  
Key Issues

Abstract The business intelligence tools allow you to work with databases containing historical drilling records. This gives a possibility to collect data into a single visualized shell, to see patterns, and, most importantly, to identify the main issues. A database among Yamal region projects was taken as an example. This process automation allows you to reduce the time for collecting information and makes it possible to conduct a more detailed and thoughtful analysis of project indicators. In turn, this results in making quick and effective decisions. At the initial stage, historical drilling data over three years was analyzed, namely information on more than 800 drilling runs. A model was formed from various sources in reliance on the database, and a visual working dashboard of the project was compiled. The dashboard allowed us to recognize the main issues that were plain to see. Awareness of plain-to-see issues gives the possibility to find out what information needs to be added to the data model in order to perform more thoughtful analysis. Collecting all the data in one place is not enough. In order to bring the data together, they were collated and visualized in the most explicit way. The bulk data collected in a single model allowed us to see the whole picture of what was happening on the project and to concentrate on solving the root problem. Major issues resulted in equipment failures due to vibrations in the horizontal section. A more detailed vibration analysis showed that the bit was the main driver of vibrations. Hence, the data on rock strength and bottom hole assembly (BHA) vibrations were added to the model for further analysis. However, the complete package of data does not guarantee success. It becomes problematic to see the patterns in some situations, since analogous wells are not always available. While business intelligence tools make it easy to manage filters and find analogy, that is only fair if you have enough offset data. Based on the analysis, the most efficient bit designs were selected and proposed. The updated range of bits allowed to increase ROP in the horizontal section and reduced failures due to vibrations, so the well construction cycle was shortened. These tools are accessible for technicians, which means there is no need-to-know programming languages. Suggested approach allows to accelerate decision-making and identification of key issues. In addition, existing tools give the possibility to monitor key performance indicators continuously within a single project as well as throughout the country. In contrast to the well-known program with tables, the main advantage is the automatic update of the already built data model. This fact speeds up the analytical process and report generation by times.

scholarly journals A first step towards service-dominant logic as a new approach to overcome challenges in business intelligence

2014 ◽  
Vol 17 (2) ◽  
pp. 220-231
Author(s):  
Pamela Clavier ◽  
Hugo Lotriet ◽  
Johan Van Loggerenberg
Keyword(s):  
Literature Review ◽  
South African ◽  
Business Intelligence ◽  
New Approach ◽  
High Expectations ◽  
Dominant Logic ◽  
Interpretive Case Study ◽  
Research Findings ◽  
Banking Institution

High expectations are set for Business Intelligence (BI), yet it fails to consistently deliver accordingly: there are numerous reports of BI challenges and failures. Existing approaches to address BI challenges are largely found to be ineffective, highlighting the need for a new approach. This paper examines how BI is perceived or understood and establishes that, firstly, BI is inherently grounded in Goods-Dominant (G-D) logic and secondly, that this can be linked to the challenges that are experienced within BI. A recommendation is made for a shift to Service-Dominant (S-D) logic as a new avenue of exploration to assist in overcoming BI’s prevailing challenges. Identifying the inherent G-D logic in BI provides the first step necessary in making this shift. Research findings are based on an interpretive case study of a South African Banking institution as well as a literature review.

A Study of Business Intelligence Strategy Development by Large Organizations

2019 ◽  
pp. 326-339
Author(s):  
Carmine Carmine Sellitto ◽  
Paul Hawking
Keyword(s):  
Business Intelligence ◽  
Business Strategy ◽  
Strategic Alignment ◽  
Important Predictor ◽  
Strategy Development ◽  
Informational Needs ◽  
Information Presentation ◽  
Case Study Approach ◽  
Study Approach

Organizations have adopted business intelligence solutions with a mixed degree of benefits. Some businesses highlight significant outcomes, while others identify limitations or shortfalls in the benefits derived. Notably, the alignment of business strategy with the adoption of business intelligence processes has been an important predictor of firms being able to achieve organizational wide benefits. The chapter uses a case study approach to document the informational needs achieved through aligning organizational strategy and the adoption of business intelligence solution at two distinct companies. The adoption approaches used by each firm, although different, reflect the important areas in which business intelligence is most useful—strategic alignment, governance, and information presentation.

scholarly journals A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

2015 ◽  
Vol 19 ◽  
Author(s):  
Neil Foshay ◽  
William Yeoh ◽  
Yee Ling Boo ◽  
Kok-Leong Ong ◽  
David Mattie
Keyword(s):  
Business Intelligence ◽  
Design Science ◽  
Strategy Development ◽  
Strategy Formulation ◽  
Significant Research ◽  
Comprehensive Survey ◽  
Research Gap ◽  
Diagnostic Framework ◽  
Process Context ◽  
Effectiveness Assessment

Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results to inform BIA strategy formulation. Feedback from participating organizations indicates that BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

Determinants of United Kingdom General Insurance Company Performance

2004 ◽  
Vol 10 (5) ◽  
pp. 1079-1110 ◽  
Author(s):  
Y. Shiu
Keyword(s):  
United Kingdom ◽  
Panel Data ◽  
Performance Measures ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Insurance Companies ◽  
Company Performance ◽  
Insurance Company ◽  
Data Set ◽  
General Insurance

ABSTRACTDynamic financial analysis has become one of the important tools that actuaries use to model the underwriting and investment operations of insurance companies. The first step in carrying out the analysis is to investigate the most important factors affecting company performance. This paper identifies the determinants of the performance of United Kingdom general insurance companies using a panel data set consisting of economic data and Financial Services Authority/Department of Trade and Industry returns over the period 1986 to 1999. Three performance measures are used to capture different aspects of insurance operations. These measures are related to a number of economic and firm specific variables, chosen on the basis of relevant theory and literature. An ordinary least squares regression model and two panel data models are estimated for each of three performance measures. This paper also addresses several important econometric problems that are usually ignored in applied work in the context of panel data analysis. Based on the empirical results, this study finds that liquidity, unexpected inflation, interest rate level and underwriting profits are statistically significant determinants of the performance of U.K. general insurers.

scholarly journals Analysis Performance Management System

2017 ◽  
Vol 2 (1) ◽  
pp. 75-78
Author(s):  
Agatha Rinta Suhardi ◽  
Sakina Ichsani
Keyword(s):  
Performance Management ◽  
Test Performance ◽  
Management System ◽  
Employee Motivation ◽  
Jel Classification ◽  
Performance Management System ◽  
Company Performance ◽  
Market Intelligence ◽  
Technological Advances ◽  
Research Findings

Objective - Aggressive competition and globalization are characterized by the emergence of many new companies and technological advances. Many companies began to rearrange the strategy of competition in anticipation of free trade with a review of the objectives of strategic companies based on the needs of the international market, a comparison with companies that have the best performance in the world, as well as evaluating intense the internal competency of the company own. The key to winning this competition is through innovation. The goal of this paper is to analyze the factors that influence in the performance management system. Methodology/Technique - Method in this research are performed by distributing questionnaires and respondents were given the opportunity to provide input to the company which then will researchers to convey to family companies that made the object of research. Findings – Results show that there is correlation between the company's strategy, cross-functionality, market intelligence, employee motivation and company performance. There is correlation company's strategy and company performance, cross-functionally and company performance, market intelligence and company performance, the motivation of employees and company performance Novelty - The study tries to test performance management of company. Type of Paper - Empirical Keywords: Analysis of Family Company; Cross-Functionality; Employee Motivation; Performance Management. JEL Classification: L22, J53.

scholarly journals Functional Expert-based Performance Assessment Models at Organizational Level

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Emad Elwakil
Keyword(s):  
Performance Assessment ◽  
Success Factors ◽  
Organizational Level ◽  
Company Performance ◽  
Financial Measures ◽  
Critical Success ◽  
Construction Organizations ◽  
Unique Nature ◽  
Research Findings ◽  
Functional Units

Organizations performance assessment is one of the critical aspects in today’s project management research. The performance of organizations can be affected by various factors beyond financial measures. Construction organizations faces difficulty in performance assessment stemming from the uncertain fragmented unique nature of the construction industry. Only few research focused on the non-financial factors that impact the organizations performance. Although many research works have been done to study organization success factors, most of the conducted research was only focusing on the construction project level rather than the organizational level. In addition, most of the research neglected the different perspectives of construction organizations functional units when assessing the performance. The goal of this research is to study the effect of different functional units on the company performance through identifying, ranking a set of critical success factors (CSFs) and build comprehensive performance construction organizations assessment models. Analytical Hierarchy Process (AHP) technique has been used for the data analysis and the models’ development. The research findings indicated that the CSFs factors in construction organizations have different priorities and weights according to the different functional units. Four assessment models are eventually developed to reflect the unique perspective of four functional units in construction organizations. The developed models have been validated with satisfactory results ranging 80% to 90%. This research will benefit organizations managers to accurately assess their performance according to the different functional units.

scholarly journals Implementasi Bussiness Intelligent dalam e-Tourism Berbasis Big Data

2019 ◽  
Vol 3 (2) ◽  
pp. 163
Author(s):  
Chandra Eko wahyudi Utomo
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
High Growth ◽  
Tourism Industry ◽  
The Internet ◽  
Company Performance ◽  
Work Processes ◽  
Intelligence System ◽  
Huge Data ◽  
Data Explosion

Abstract The use of information technology that is integrated with work processes in an organization has become an absolute necessity. The availability of complete, correct and accurate data and information has become a basic requirement for the survival of an organization. Business Intelligence (BI) is a form of implementation that is able to answer the above needs. BI has been widely used by organizations in managing data and information to support decision making. BI is usually associated with efforts to maximize the performance of an organization. Business Intelligence System is a term that is generally used for the type of application or technology used to assist BI activities, such as collecting data, providing access, and analyzing data and information about company performance. Along with the rapid online-based information systems including e-tourism, creating a huge data explosion on the internet (bigdata). The very high growth of tourism data on the internet can be utilized for the needs of the tourism industry and research needs in the field of tourism. Keywords: intelligent business, e-tourism, big data

scholarly journals Ataskaitų generavimo priemonių taikymas bankuose

2011 ◽  
Vol 58 ◽  
pp. 110-125
Author(s):  
Laima Zalieckaitė ◽  
Indrė Miniotaitė
Keyword(s):  
Data Storage ◽  
Business Intelligence ◽  
Assessment Tools ◽  
Classification Method ◽  
Generation Process ◽  
Sources Of Information ◽  
Report Generation ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Bank Accounts

Besikeičianti ir sudėtinga išorinė verslo aplinka organizacijas, iš jų ir bankus, verčia aktyviai ir sparčiai reaguoti į rinkos pokyčius, ieškoti naujų galimybių, o tam reikalinga kokybiška ir operatyvi informacija, efektyvios rezultatų pateikimo ir analizės priemonės. Dinamiška rinkos situacija verčia bankus efektyviai valdyti ir vertinti rinkos riziką, t. y. turėti priemonių, leidžiančių įvairiais pjūviais analizuoti informaciją ir valdyti finansinės veiklos rodiklius. Maža to, valdoma įvairialypės informacijos šaltinių gausa lemia, kad duomenys tampa prieštaringi ir netikslūs. Šiame straipsnyje analizuojamas verslo įžvalgos technologijų sudedamosios dalies – ataskaitų generavimo priemonių, kurios padeda priimti efektyvius sprendimus ir sėkmingai spręsti iškylančias verslo problemas, taikymas bankuose.Pagrindiniai žodžiai: verslo įžvalgos technologijos, ataskaitų generavimo priemonės, ekspertinių sistemų technologija, verslo įžvalgos sistemos.Application of Report generation tools to banksLaima Zalieckaitė, Indrė Miniotaitė SummaryThe dynamic market situation is forcing banks to effectively manage and assess market risks, to have means to analyze various aspects of information management and financial performance, considering that the diverse sources of information, results, data are contradictory and inaccurate.The business intelligence technology is a tool that can help solve these problems. The report generation process is a very important tool for business intelligence technology. Bank managers of all levels rely on information in the reports when making business analysis and reports.The report generation process, changes in factor analysis show that a new approach to the environment of the bank accounts of the process generated, is qualitative changes and their implementation measures.Change is largely due to banks’ external environment and internal environment changes in the bank. Banks need a single universal set of data with all employees to analyze the data it required a cut. Unified data environment would allow a precise and clear definition of the data, and not to misinterpretation. Business intelligence systems based on the data storage, installation, and require the bank accounts of the generation business intelligence tools for installation. This would allow existing data to discover new patterns and possibilities to improve their performance.Following a thorough analysis of the reporting and assessment tools, these systems are classified in many ways, this paper reports the authors consists of generating the classification method. Summary of the classification method and the bank employees’ needs, the article defines the generation of reports should be supported by business intelligence system environment.As the report generation tools support a wide business intelligence systems (packages) spectrum are organizations, including banks, faced with problems when buying business intelligence systems. This article is for business intelligence systems, the selection criteria for banks in the environment, a bank employee needs and business intelligence systems vendor survey.According to the criteria of the banks analyzed and most suitable for the SAP BusinessObjects platform. However, to successfully implement a business intelligence system should be to determine which report generation tools will be implemented SAP BusinessObjects environment. It was therefore carried out a reporting tool features SAP BusinessObjects environment analysis and report generation steps up development bank model.Keywords: report generation tools, expert systems’ technology business intelligence systems.

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