Free Business intelligence tools Essays and Papers

need for tools that are able to analyse the increased availability of data and improve coordination in the information exchange. Business Intelligence is the name given to the toolset that handles a mass of operational data and extract business information capable of supporting the strategic and tactical decision-making processes to enable the achievement and maintenance of competitive advantage for the organization. The purpose of the report is to investigate the effectiveness of Business Intelligence

level in the organization. Well today many businesses are turning to "Enterprise-wide Analytic Technology" to help streamline the processes and steps that an organization goes through when conducting business. Enterprise analytics is quite simply put a way for enterprise sized companies to capture business-critical information and make it visible across the entire organization. Informatica (2001) In many businesses today the internal operations of the company run in a manner where the internal departments

make learned decisions at every level of the organisation. Business situation The organisation needs to find a new way to give quality business and student performance information to users across the organisation. Additionally, it needs a better way to manage and access complicated metrics designed to measure the progress and success of students, teaching staff and the overall performance of the organisation. What is Business Intelligence? Decision-making process can be a complex issue. Getting

Business Intelligence (BI) It is often describe as “the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes”. Business Intelligence is a technology that are capable of handling a large amounts of undetermined data to help identify, develop and create a new strategic business opportunities. Business Intelligence also encloses a variety of tools, applications and methodologies that enable organizations to gathered data

ABSTARCT-This paper depicts the technology with the business intelligence such as “master data management, benchmarking and BPM” etc. Business intelligence (BI) software is a collection of decision support technologies for the enterprise aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. The past two decades have seen explosive growth, both in the number of products and services offered and in the adoption of these technologies by industry

to perform business Knowledge Discovery. It frequently involves data mining, predictive analytics, statistical analysis, business process modeling and predictive modeling (Yarong & Ling, 2006... ... middle of paper ... ...8590?accountid=45049 Qlikview. (2011). Banking BI Solution - Business Intelligence (BI) for Banking. Retrieved January 25, 2014, from Qlikview.com: http://www.qlikview.com/en/explore/solutions/industries/financial-services/banking Troy, H. (2010). Social Intelligence: The Next

The business intelligence (BI) marketplace is teaming with new innovations and struggles for market share. With new technologies and more companies entering the business intelligence landscape pricing for BI processes and tools are decreasing. “The relational database market is around 30 years old. It should be mature by now, but every year there seem to be new innovations in the relational database space. I’m always astounded that there continue to be new entrants” (Beckerle, p. 281, 2008). Beckerle

Business intelligence (BI) is ubiquitous; it is disseminated throughout the world and is applied in almost every department of Information technology and business. The advent of BI has helped organizations across the world to surpass many of the constraints, pressures and challenges they had been facing for years. There are several methodologies and principles in place that are used to make sense of massive amounts of raw data in organizations and convert them to useful information. There are

m=content&c=index&a=show&catid=43&id=502 Rutz, D., Nelakanti, T., & Rahman, N. (2012). Practical implications of real time business intelligence. CIT Journal of Computing and Information Technology, 20(4), 257-263. Retrieved from http://go.galegroup.com/ps/i.do?id=GALE%7CA327989298&v=2.1&u=vic_liberty&it=r&p=AONE&sw=w Weber, M. (2013). Keys to Sustainable Self-Service Business Intelligence. Business Intelligence Journal, 18(1), 18-24. Retrieved from http://search.ebscohost.com.ezproxy.liberty.edu:2048/login.aspx?

launched to be ... ... middle of paper ... ... Rudin, K., & Cressy, D. (2003). Will the Real Analytic Application Please Stand Up?. DM REVIEW, 13, 30-41. Schulte, M. F. (2006). Business objects dashboard manager. DM Rev, 16(2), 49. Sychevskiy, M., & Makad, R. (2013) Perspective future of business intelligence and SAP HANA. [Online] Available from: http://www.infosys.com/industries/aerospace-defense/Documents/future-BI-SAP-HANA.pdf. [Accessed: 8th April 2014]. TechTarget. (2014) How SAP