Author :
Abstract
The aim of this study is to examine the system work and success factors that need to be done to use BI most effectively within the company. One of the most critical success factors is the correctly implemented ERP system. To get the most out of BI one must first understand the needs and purpose of the company. Another critical success factor on the base level that they states is to gain insight of the data. It is critical for a business to make decisions and those decisions could be vital from time to time. The quality of those insights however varies. By analyzing the past data, trends can be discovered. That gives an insight, but I may not be enough for a company to make a decision. If the current situation could be known and monitored for changes, that could improve an insight as well. BI architecture with a "live connection" to an ERP system does enable that. However, the insight still can be improved.
All these factors (understanding, implementing ERP, and implementing BI) are all at a balance. In order to get the most out of them, all must be equally successful. If BI is not implemented correctly, there is not much point in implementing an ERP system. Imagine the BI reporting as a ladder, which it is the first step, would be being able to collect data in the ERP system and transfer to the BI environment. Without this, no BI reporting of "what happened" would occur so this step may be identified as the most critical. The second, third and the other steps would be the data's quality, diversity and integrity.
Keywords
Abstract
The aim of this study is to examine the system work and success factors that need to be done to use BI most effectively within the company. One of the most critical success factors is the correctly implemented ERP system. To get the most out of BI one must first understand the needs and purpose of the company. Another critical success factor on the base level that they states is to gain insight of the data. It is critical for a business to make decisions and those decisions could be vital from time to time. The quality of those insights however varies. By analyzing the past data, trends can be discovered. That gives an insight, but I may not be enough for a company to make a decision. If the current situation could be known and monitored for changes, that could improve an insight as well. BI architecture with a "live connection" to an ERP system does enable that. However, the insight still can be improved.
All these factors (understanding, implementing ERP, and implementing BI) are all at a balance. In order to get the most out of them, all must be equally successful. If BI is not implemented correctly, there is not much point in implementing an ERP system. Imagine the BI reporting as a ladder, which it is the first step, would be being able to collect data in the ERP system and transfer to the BI environment. Without this, no BI reporting of "what happened" would occur so this step may be identified as the most critical. The second, third and the other steps would be the data's quality, diversity and integrity.
