A Seminar Report on BUSINESS INTELLIGENCE Prepared by: Guided By: Arpan Solanki Prof.Yagnik A. Rathod 100410107063 Assistant professor TY C.E SVIT-VASAD Certificate
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Today’s software solution makes it possible for companies to remain in top position by looking at the company’s oversight database and analytics based business actions. BI solutions are valuable for any company to encourage complete strategy‚ get better information and sharing across software platforms. This assignment based on two top Business Intelligence software solutions as SiSense‚ and Birst and the explanation of why I choose SiSense software BI as the best.
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that an organization can derive from a data warehouse Case : Continental Airlines Flies High with its Real-time Data Warehouse As Business Intelligence (BI) becomes a critical component of daily operations‚ real-time data warehouses (DW) that provide end users with rapid updates and alerts generated from transactional systems are increasingly being deployed. Real-time data warehousing and BI‚ supporting its aggressive Go Forward business plan‚ have helped Continental Airlines alter its industry
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Business analytics and data mining provided 1-800-Flowers with all of the following benefits except: Select one: a. more efficient marketing campaigns b. increased mailings and response rates c. increased repeat sales d. better customer experience and retention On the commercial side‚ the most common use of data mining has been in ________ sectors. Select one: a. manufacturing and heath care b. online retail and government c. R&D and scientific d. finance‚ retail‚ and health
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Business intelligence (BI) processes monitor and analyze business transaction processes to ensure that they are optimized to meet the business goals of the organization. These goals may be operational goals that affect daily business operations‚ tactical goals that involve short-term programs such as marketing campaigns‚ or strategic goals that entail long-term objectives like increasing revenues and reducing costs. This is a kind of predictive analytics which helps to give idea about most critical
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Data mining and OLAP are the most common Business Intelligence technologies. The term Business Intelligence refers to computer based methods to identify and extract useful information from business data. Online Analytical Processing commonly known as OLAP provides summary data and generates rich calculations. OLAP is a class of systems that provide answers to multidimensional queries. OLAP is typically used in business reporting for sales‚ marketing and various such domains. OLAP enables the users
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The Influence Factors of Dynamic Capabilities: The Case of Innovation Speed at Korean Electronics Companies DISSERTATION of the University of St.Gallen‚ Graduate School of Business Administration‚ Economics‚ Law and Social Sciences (HSG) to obtain the title of Doctor of Business Administration submitted by Florian Fuhl from Germany Approved on the application of Prof. Dr. Li Choy Chong and Prof. Dr. Narendra Agrawal Dissertation No. 3211 Druckerei Lauterberg‚ Ketzin‚ 2006 The University
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Business Intelligence Definitions • Data mining (knowledge discovery in databases): – Extraction of interesting (non-trivial‚ implicit‚ previously unknown and potentially useful) information or patterns from data in large databases • Data mining helps end users extract useful business information from large databases • Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. • The goal of data mining may be to allow a corporation
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Software Associates Executive Summary Software Associates was founded by Richard Norton in 1990 in order to perform system integration projects for clients. During the rapid technological growth of the 1990’s the company grew and prospered. Annual revenues exceeded $12 million‚ and profit margins were generally between 15%-20%. Their services include a contract business which offers clients experienced consultants to implement personalized IT tools and solutions. However‚ in 2000‚ founder and CEO
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Phurnace Software‚ LLC: According to the business plan set forth in the case‚ assuming the purported software capabilities were real‚ I would invest in Phurnace Software due to four primary reasons‚ including solid market validation‚ niche market‚ favorable business model and huge potential market and conservative projection. Solid Market Validation: the market validation included both primary research and secondary data collection. The team conducted several face-to-face interviews with the actual
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