In today’s competitive environment, organizations are exposed to a rapidly changing business environment with never ending challenges. Customers, suppliers and society constantly put pressure on organizations through new demands for increased productivity, more efficient processes, higher profits, and better use of resources. All these demands force organizations to constantly change and be agile in order to survive in a complex and hostile environment. Heavy investments in information technology (IT) have been one common approach to adapt and respond to these tough demands. The area where most money has been allocated is mainly in implementations of information systems. Unfortunately new demands evolve as soon as existing ones have been satisfied. In order to in-crease efficiency and effectiveness continuously, new technologies have evolved (Turban, Sharda, Aronson, & King, 2007). Business Intelligence (BI) is one new IT solution that assists many organizations in taking more accurate and timely decisions, improving process monitoring, providing better support for operational activities, enabling tactical and strategic planning, forecasting prediction, and assisting in analyzing market segments. With the use of BI solutions, organizations can now access better information and use analytical methods to optimize business performance through better use of existing data in already implemented information systems. Traditionally, analytics of data has not been something organizations compete with, but today, organizations have started to realize the value of BI investments and its potential as a competitive resource. One reason for this might be due to vendors and suppliers praise about BI’s ability to deliver business value. Significantly in-creased business value, better decision making, and high returns on investments are only a few vendor and supplier arguments…
Purpose: The purpose of this thesis is to identify what arguments vendors and suppliers use when selling BI solutions, and explore their value by analyzing them through the use of existing theories from literature.
Contents
1 Introduction
1.1 Background
1.2 Problem
1.3 Purpose
1.4 Delimitation
1.5 Definitions
1.6 Disposition
2 Method
2.1 Research approach
2.1.1 Inductive and Deductive Research
2.1.2 Qualitative and Quantative method
2.2 Data Collection
2.2.1 Literature Study
2.2.2 Interviews
2.2.3 Selection of Research Objects and Respondents
2.3 Analysis and Interpretation
2.4 Trustworthiness
3 Empirical Findings
3.1 Cognos
3.2 Oracle/Hyperion
3.3 Pdb
3.4 Logica AB
3.5 QlikTech
4 Pre-analysis of Empirical Findings
4.1 Single Version of the Truth
4.2 Control
4.3 Time Savings
4.4 Cost Savings
4.5 Increased Efficiency
4.6 Improved Analytical Capabilities
4.7 Summary of Arguments
5 Frame of Reference
5.1 Organizations and Information Technology
5.1.1 Centralized and Decentralized Approach
5.2 Types of IT Investments
5.3 Reasons for Investing in IT
5.3.1 Does IT bring the Expected Value?
5.4 Business Intelligence
5.4.1 Benefits of Business Intelligence
6 Analysis of BI Arguments
6.1 Single Version of the Truth
6.2 Control
6.3 Time Savings
6.4 Cost Savings
6.5 Increased Efficiency
6.6 Improved Analytical Capabilities
7 Conclusions
7.1 Discussion
7.2 Reflections
7.3 Further Research
Author: Andersson, Daniel,Franzén, Jenny,Fries, Hannes
Source: Jonkoping University
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