Do recent technological advances (eg the internet, databases) assure that future research will be of a higher quality, or of greater utility, than the past? By OLAOLU OKE 01/23/2014 Technological advancement has had a big role to play on all industries, such as: healthcare, education, marketing, etc., and has also impacted a lot on the world of research. Basically, Technological advancement has made life easy and made information accessible at the tip of our fingers
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ABSTRACT Online Analytical Processing is a powerful framework for the analysis of organizational data. OLAP is often supported by a logical structure known as a data cube, a multidimen- sional data model that offers an intuitive array-based per- spective of the underlying data. Supporting efficient index- ing facilities for multi-dimensional cube queries is an issue of some complexity. In practice, the difficulty of the in- dexing problem is exacerbated by the existence of attribute hierarchies
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Functional Guide Exigen Suite Release: 3.6 Dynamic Analytics Dashboard Administrator's Guide Document number: Platform_DynamicAnalyticsDasboard_FG_3.6 Revised: 10-11-2011 EXIGEN CONFIDENTIAL – FOR AUTHORIZED USERS ONLY Important Notice Information in this document, as well as the software products and programs described in it, is furnished by EIS Properties, Ltd. and/or affiliates (Exigen Insurance Solutions, Inc.) under license and may be used or copied only in accordance with the
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Objective assessment whether Data Warehouse is successful or not 1. Executive Sponsor 2. Tool 3. Data quality / Business rule 4. Performance 5. Support / Training 6. ROI 1. Executive Sponsor At the heart of the data warehouse is the executive sponsor. This is the person who believes in the value of the warehouse and is willing to use his/her political clout to fund the project. The executive sponsor is the one individual that must clearly understand the ROI of the project and be able
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The Little SAS Book a T H I ® p R D r E i D I m T I e O r N Lora D. Delwiche and Susan J. Slaughter The correct bibliographic citation for this manual is as follows: Delwiche, Lora D. and Slaughter, Susan J., 2003. The Little SASâ Book: A Primer, Third Edition. Cary, NC: SAS Institute Inc. The Little SASâ Book: A Primer, Third Edition Copyright © 2003, SAS Institute Inc., Cary, NC, USA ISBN 1-59047-333-7 All rights reserved. Produced in the United States of America
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Big data analytics is projected to change the way companies manage and analyze large information set and how people produce massive amounts of data. A recent findings produced by few Internet and Online Business Degree looked at the future of this trend sweeping through the IT industry. This concept is up-growing one as the current data storage pattern utilized by the companies is not as productive as plotted. It is refers to following type of data 1) Traditional Enterprise Data:- includes customer
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Disruptive Innovation: A new era of Crowdsourced Data Analytics! Abstract: The existing business paradigm of data analytics is set for a transformation. Today, companies are experimenting to replicate the “Outsourced data analytics” model to “Crowdsourced data analytics”. Companies like Kaggle, Crowdanalytix and others are hitting the headlines of top analytics blogs across the globe. The reason is that the new business model promises a drastic decrease in the cost of analytics for companies long with
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Article Reflection Anchoring Down the Data Greg Hawley EDUC 621 What a great line from the first article, which so aptly defines the dilemma faced by administrators across the country now; “Data, data, everywhere. Too much to let us think!” This collection of short articles and position papers, more the most part, did an excellent job of illustrating and creating panic in the minds of teachers and administrators who are not only dealing (or not dealing) with the mountains of assessment
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Term Paper Format Format for Term Papers ________________________________________ Below are some links and a general outline on how to write your term papers. Depending on your topic you may want to rely on the scientific report style or literature review styles, or a combination of the two. The choice is yours. Links to these styles can be accessed by the buttons below. Below the three buttons I outline the scientific report style. More details can be found by clicking the scientific format
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unstructured such as email, video, and audio. When the user could store the data by picking out which tools are appropriate in order to convert into the desired form and stored data. CHALLENGES OF BIG DATA Big Data associated with various of business opportunities which also poses of numerous challenges which are: • COST MANAGEMENT • SCALABILITY • SECURITY AND PRIVACY Any big data store sensitive information such as email addresses, credit card numbers, and passwords. Nowadays, data theft
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