mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases, including data warehouses” (Turban, 2011). Predictive analytics serves as a benefit of data mining because it’s a process that uses machine learning to analyze data and make predictions. This can be beneficial to a business because it can be helpful in understanding the behavior of customers. A good example of this would be a business using predictive
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efficient extraction, aggregation, and sharing of data within or across the boundaries of the business process. To address this problem, organizations can turn to an information management framework that facilitates managing raw data to create useful information that can be shared across the organization. SEPTEMBER/OCTOBER 2013 INFORMATIONMANAGEMENT 35 sist of a mix of home-grown, functionspecific applications and third-party systems built by disconnected teams without a shared reference for data
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Question: Give examples of how OLAP works and its Predictive Analytics INTRODUCTION On-line analytical Processing (OLAP) refers to a computer-based processing with a capability of manipulating and analyzing large volumes of data from multiple perspectives (different points of view). It is one technique you can use to transform data into information. The original system of the OLAP is also known as the multi-dimensional cube or hyper cube. For example, a user can request that data be analyzed
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BUSINESS ANALYTICS Business analytics (BA) is the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision making. BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes. Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics
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Case questions 1. What is their business strategy to grow profitably and compete over the long term? Capital One Success Factors Pilot Strategy (first stages) • Initially, they began with a pilot strategy at Signet Bank to test their customer targeting systems • Successful and profitable within a couple years – created Capital One Competitive Edge (risk analysis) (redemption offers) (customer loyalty) (targeted offers) • Recognized large customer base in high risk credit customers
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WEBSITE: www.interrel.com TWITTER: ERoske Introduction to EPM Architect: Cheaper…Faster…Better Edward Roske eroske@interrel.com BLOG: LookSmarter.blogspot.com WEBSITE: www.interrel.com TWITTER: ERoske Thinking Outside the Cube: NonFinancial Applications of Oracle Essbase Edward Roske eroske@interrel.com BLOG: LookSmarter.blogspot.com WEBSITE: www.interrel.com TWITTER: ERoske About interRel Reigning Oracle Titan Award winner – EPM & BI Solution of the year 2008 Oracle EPM Excellence Award
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use to build Sophisticated, interactive dashboards using IBM Cognos content, as well as other, External data sources. It dynamically delivers rich, Adobe® Flash-based graphics for Business users and executives to assemble personalized dashboards from trusted, Consistent report-ready information. Non-IT, Business User’s way to represent the existing BI content in a Dynamic and visually appealing format. Comparision With Cognos 8.3 Protlet Dashboard: This is different from the Dashboard
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Internship Report Format 1. Title Page One original title page, prepared in the same format as the Sample Internship title is given at the end. Page submitted with the original signatures of Program coordinator. The date on the title page will depend on the semester you will receive your degree. 2. Acknowledgements If you wish, you may include a page with a brief note of dedication or acknowledgment of help received from particular persons. 3. Table of Contents The contents page
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the following strategic objectives can be attained to their full potential only by employing it. Compete – Secure the Most Powerful and Unique Competitive Stronghold Grow – Increase Sales and Retain Customers Competitively Enforce – Maintain Business Integrity
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explore how a company can become an analytic competitor. Questions as to what are the sources of Decision Making to an analytic competitor will also be discussed. A discussion on how influential quantitative modeling is and its utility in business decision making will be summarized. Finally, a Christian view that presents an ethical perspective on quantitative modeling and decision making will be presented. In an ever increasing global environment, maintaining a competitive advantage can be
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