The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. In addition, there are a number of factors that affecting this usage. The findings of this qualitative study are expected to add to the knowledge on ERP upgrades and to productivity improvements achieved from IT (ERP). Because of this, BI systems frequently rely on a separate data warehouse or data mart that duplicates the data contained in ERP and other transactional systems. Scant data quality could, in fact, cause difficulties in the retrieval of business records (Mikkelsen and Aasly 2005), as it obstructs the possibility of providing the right information to the right stakeholder. At the end, some considerations about them are discussed. Microsoft, ICI, UBS and Procter & Gamble are a few of the firms that have claimed it has changed the way they work (Gartner, 2002). We argue in this paper that there is a fundamental clash of underlying principles between ERP systems requirements and the success factors of innovative organisations that lie at the heart of the innovation dilemma caused by the introduction of ERP systems into organisations. To obtain these benefits, it is necessary to implement an effective ERP system by following the critical success factors suggested by the literature. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. These cookies will be stored in your browser only with your consent. This research in progress paper aims to explore ERP upgrades, required process changes for successfully aligning upgraded ERP modules to business functions and resulting organizational capabilities for improved productivity. The research is guided by the theories of Dynamic Capabilities and Benefits Dependency Network. In this research a survey has been guided based on 28 hypothesises which were designed through seven ERP implementation benefits and four BI readiness criteria that were extracted from literature review. Based on the finding of the literature, a model from a critical success factors (CSFs) perspective that examine the relationship between ERPBI usage and organisational performance is proposed. In short, your ERP system is responsible for receiving and organizing data, while business intelligence (BI) tools analyze this data to provide actionable insights. But for those with existing ERP systems, implementing or updating a BI pro. 'Change Manj^ement' and 'Communication' are very important during the Project and Shakedown phases. This research would be useful for CIO of firms to prepare their organisations for BI utilisation by ERP implementation. In the first part of the chapter, the summarization of companies’ needs for BI includes management information system needs, strategic planning needs, commercial and marketing needs, regulation needs, and fraud detection needs. Master data are used for: Business intelligence (BI) projects are not like other projects with a finite and static set of requirements from one business person or one department. In fact, the potentialities of ERP and BI systems may positively contribute to increasing the information quality (and the information system quality) by means of an improved management of information flow. Even if you view data as one of your company’s most valuable assets, there’s a good chance you aren’t using it as well as you could be. Modern BI tools can do more than process incoming data. With BI, you can get a high-level view of your ERP data via dynamic dashboards that make it easy to understand the data you’re working with. 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