A framework on data analysis through business intelligence for decision making

Paper presented at ICT conference of 2009.Paper presented at Strathmore University Research Week on 31 July 200

Applied business analytics approach to IT projects – Methodological framework

The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected to deliver the desired outcomes. The industry has identified two major methodologies for running a data centric project, in particular SEMMA (Sample, Explore, Modify, Model and Assess) and CRISP-DM (Cross Industry Standard Process for Data Mining). More general, the professional organizations PMI (Project Management Institute) and IIBA (International Institute of Business Analysis) have defined their methods for project management and business analysis based on the best current industry practices. However, big data projects place new challenges that are not considered by the existing methodologies. The building of end-to-end big data analytical solution for optimization of the supply chain, pricing and promotion, product launch, shop potential and customer value is facing both business and technical challenges. The most common business challenges are unclear and/or poorly defined business cases; irrelevant data; poor data quality; overlooked data granularity; improper contextualization of data; unprepared or bad prepared data; non-meaningful results; lack of skill set. Some of the technical challenges are related to lag of resources and technology limitations; availability of data sources; storage difficulties; security issues; performance problems; little flexibility; and ineffective DevOps. This paper discusses an applied business analytics approach to IT projects and addresses the above-described aspects. The authors present their work on research and development of new methodological framework and analytical instruments applicable in both business endeavors, and educational initiatives, targeting big data. The proposed framework is based on proprietary methodology and advanced analytics tools. It is focused on the development and the implementation of practical solutions for project managers, business analysts, IT practitioners and Business/Data Analytics students. Under discussion are also the necessary skills and knowledge for the successful big data business analyst, and some of the main organizational and operational aspects of the big data projects, including the continuous model deployment

Empirical analysis of buyer power

This paper provides a comprehensive econometric framework for the empirical analysis of buyer power. It encompasses the two main features of pricing schemes in business-to-business relationships: nonlinear price schedules and bargaining over rents. Disentangling them is critical to the empirical identification of buyer power. Testable predictions from the theoretical analysis are delineated, and a pragmatic empirical methodology is presented. It is readily implementable on the basis of transaction data, routinely collected by antitrust authorities. The empirical framework is illustrated using data from the UK brick industry. The paper emphasizes the importance of controlling for endogeneity of volumes and for heterogeneity across buyers and sellers.

Empirical analysis of countervailing power in business-to-business bargaining

This paper provides a comprehensive econometric framework for the empirical analysis of countervailing power. It encompasses the two main features of pricing schemes in business-to-business relationships: nonlinear price schedules and bargaining over rents. Disentangling them is critical to the empirical identification of countervailing power. Testable predictions from the theoretical analysis are delineated, and a pragmatic empirical methodology is presented. It is readily implementable on the basis of transaction data, routinely collected by antitrust authorities. The empirical framework is illustrated using data from the UK brick industry. The paper emphasizes the importance of controlling for endogeneity of volumes and for heterogeneity across buyers and sellers

Establishing Data Collection Procedures Equivalence in International Business Research

Following a number of earlier studies on data equivalence in cross-cultural international business research, this article uses a content analysis of articles published in four leading international business journals from 2000 to 2009, to uncover the equivalence in current state of data collection procedures used by researchers in mail surveys. The results show that, despite repeated calls and the existence of a well established theoretical framework for mail survey data collection by Don Dillman (1978, 1999), international business scholars have not been inspired to adopt and report the data collection procedures adequately in their work. We hope this work will draw due attention to the aspect in international business research.International business research · Mail survey · Data collection procedure · Equivalence and Content analysis

Empirical analysis of countervailing power in business-to-business bargaining

This paper provides a comprehensive econometric framework for the empirical analysis of countervailing power. It encompasses the two main features of pricing schemes in business-to-business relationships: nonlinear price schedules and bargaining over rents. Disentangling them is critical to the empirical identification of countervailing power. Testable predictions from the theoretical analysis for a pragmatic reduced form empirical pricing model are delineated. This model is readily implementable on the basis of transaction data, routinely collected by antitrust authorities and illustrated using data from the UK brick industry. The paper emphasizes the importance of controlling for endogeneity of volumes and established supply chains and for heterogeneity across buyers and sellers due to intrinsically unobservable outside options

Regional differences in business start-up rates in Australia : implications for future research and public policy

The Global Entrepreneurship Monitor (GEM) project in Australia provided both data and theoretical framework for this investigation of regional differences in entrepreneurial activity within Australia and the factors that might underlie such differences.This study found that entrepreneurial activity as measured by participation in business start-ups varied significantly between 11 defined regions of Australia. Factors found to be associated with high start-up activity were personal acquaintance with someone who had recently started a business (strong and statistically significant) and the perception of good opportunities for starting a business locally (indicative only). Participation rate by age range across region varied widely. Sample size precluded more in-depth analysis.The study indicates a need for a research program designed to produce data and analysis that might be constructively shared by those who wish to foster entrepreneurship in Australia.<br /

Mapping European research networks

This paper proposes a framework for measuring the performance and mappingthe geography of the European Research Area (ERA) based on the analysis of existingresearch and knowledge networks. The objective is to provide insights into the spatialstructure of the European space from the perspective of the distribution of excellence inresearch. Starting from the debate on European spatial development, key issues such aspolycentricity, the territorial dimension and impact of European policies, the role of researchinvestments as an engine of urban and regional development, the paper explores thepotential use of integrating social network analysis and GIS in the evaluation of the spatialrelationalstructure of the European Research Area. The research uses data on theparticipation of academic and business research actors into research projects funded by theEuropean Commission under the Sixth Framework Programme. This paper proposes a framework for measuring the performance and mappingthe geography of the European Research Area (ERA) based on the analysis of existingresearch and knowledge networks. The objective is to provide insights into the spatialstructure of the European space from the perspective of the distribution of excellence inresearch. Starting from the debate on European spatial development, key issues such aspolycentricity, the territorial dimension and impact of European policies, the role of researchinvestments as an engine of urban and regional development, the paper explores thepotential use of integrating social network analysis and GIS in the evaluation of the spatialrelationalstructure of the European Research Area. The research uses data on theparticipation of academic and business research actors into research projects funded by theEuropean Commission under the Sixth Framework Programme

Empirical analysis of countervailing power in business-to-business bargaining

This paper provides a comprehensive econometric framework for the empirical analysis of countervailing power. It encompasses the two main features of pricing schemes in business-to-business relationships: nonlinear price schedules and bargaining over rents. Disentangling them is critical to the empirical identification of countervailing power. Testable predictions from the theoretical analysis for a pragmatic reduced form empirical pricing model are delineated. This model is readily implementable on the basis of transaction data, routinely collected by antitrust authorities and illustrated using data from the UK brick industry. The paper emphasizes the importance of controlling for endogeneity of volumes and established supply chains and for heterogeneity across buyers and sellers due to intrinsically unobservable outside options.