Business Intelligence The Greater The Literature Review

Infor is leading in the development of role-based analytics for legacy ERP systems as a means to upsell their large customer base. This development of role-based analytics on the ERP side is being matched only by a few studies of how effective this integration is from a long-term strategy standpoint (Subramoniam, Tounsi, Krishnankutty, 2009). The value of workflows, BPM and BPR from a productivity standpoint are well proven (Fakas, Karakostas,1999). The integration of analytics and BI into process workflows is nascent and emerging however, with the catalyst of role-based analytics in ERP systems being a market driver in conjunction with risk reduction (Bosilj-Vuksic, Indihar-Stemberger, Kovacic, 2008). The value of analytics and BI in more complex workflows and process management has much potential, yet has been constrained to this point based on user adoption and systems integration technologies. Conclusion

Analytics...

...

This is a nascent area however and one that requires quantification of operations-based and financial data over the long-term to be successful (Bosilj-Vuksic, Indihar-Stemberger, Kovacic, 2008).

Sources Used in Documents:

References

Bosilj-Vuksic, V., Indihar-Stemberger, M., & Kovacic, A.. (2008). Business Process Management and Business Intelligence as Performance Measurement Drivers. The Business Review, Cambridge, 10(1), 338-343.

Fakas, G, & Karakostas, B. (1999). A workflow management system based on intelligent collaborative objects. Information and Software Technology, 41(13), 907-915.

Suresh Subramoniam, Mohamed Tounsi, & KV Krishnankutty. (2009). The role of BPR in the implementation of ERP systems. Business Process Management Journal, 15(5), 653-668.


Cite this Document:

"Business Intelligence The Greater The" (2011, May 17) Retrieved April 19, 2024, from
https://www.paperdue.com/essay/business-intelligence-the-greater-the-44746

"Business Intelligence The Greater The" 17 May 2011. Web.19 April. 2024. <
https://www.paperdue.com/essay/business-intelligence-the-greater-the-44746>

"Business Intelligence The Greater The", 17 May 2011, Accessed.19 April. 2024,
https://www.paperdue.com/essay/business-intelligence-the-greater-the-44746

Related Documents

Business Intelligence What SAP didn't tell you about creating and using business intelligence, and why Creating value through the use of information systems to gain critical insights into how a business is functioning, meeting the needs of customers or not, coordinating with suppliers and managing costs is one of the greatest values of Business intelligence (BI) systems. Intuitively, BI and analytics are seen as a means to significantly reduce risk while increasing

Business Intelligence Creating, Implementing and Using Business Intelligence in Clinic and Resort Cases In the process of effective decision making for improving opportunities and performance of a business, a vital role is played by Business Intelligence (BI). Business Intelligence Systems understand the environments of organizations and follow a systematic information process. These systems have huge development costs but are widely created, implemented and used in mid-sized organizations, hospitals, resorts and hotels. The

VERY POWERFUL in that one can use the software in presentation mode, then run "what if" scenarios based on feedback from the group -- no manual coding required. The platform is independent; visual models can be exported to PowerPoint, Word, Outlook, Adobe, etc. For ease of sharing (SAP, 2011). As a user review, one finds that Crystal Reports allows to graphically design data connections in a report layout. The power of

Business Intelligence Project Plan and Requirements for a Data Warehouse Requirements Analysis In defining the data warehouse requirements for the university data warehouse, the process areas most often relied on to serve the students, faculty, suppliers and broader community need to first be taken into account. The effectiveness of a data warehouse is directly related to the level of accuracy, clarity and precision it contributes to each role in an organization (Bara, Botha,

Business Intelligence and Data Analysis Tableau Project Dashboard Health insurance coverage for people below 65 among states Graphical features used Descriptive and predictive analytics used Population of Insured and Uninsured People aged 65 and below The project evaluates the rates of insurance coverage for people aged 65 and below between 2010 and 2012 in all states in the United States. The report analyzes the data using several statistical tools such as descriptive statistics, predictive statistics, and linear

Business Intelligence The author of this report is asked to ascertain and decide which business intelligen solution would be proper and best for the United States Department of Housing and Urban Development (HUD). The five options up for selection are Information Builders, MicroStrategy, Microsoft, Oracle and SAS. Each option in the toolbox will be deciphered and covered one at a time with the upsides and downsides of each being considered. The