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    Open-Data

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    UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................

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    Project Report On Integrated Marketing Communications An In-Depth Study SUBMITTED BY SAGAR GALA TYBMS (SEM V)‚ 2008-2009 ROLL NO. 74 UNDER THE GUIDANCE OF DATE OF SUBMISSION: 31ST OCTOBER‚ 2008 Declaration I Mr. SAGAR GALA of NARSEE MONJEE COLLEGE OF COMMERENCE AND ECONOMICS of TYBMS (Semester V) hereby declare that

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    Why Do We Make Decisions

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    Why Do We Make Decisions The decisions we make decide who we are. Most people believe this is true‚ but could who we are determine what decisions we make? Can I really make a decision‚ or do I make it subconsciously then rationalize with logic and reasoning? Is it possible to overthink a decision? Research and studies have shown that it can. Some decisions are harder to make than others‚ is it because the more it could affect us the less we want to make it? Through researching decision making and

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    Big Data

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    number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco. Introduction to Big Data In 2012‚ the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created‚ and the number is doubling every 40 months (Brynjolfsson & McAfee‚ 2012). According to a recent research from IBM (2012)‚ 90 percent of the data in the world has been

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    Factors affecting operational planning In this day and age planning is key to any business startup‚ especially during these tough economic times. As we prepare a plan for any business many factors arise including the strengths‚ weakness‚ opportunities‚ threats and trends in any business planning. Let ’s explore deeper to analyze the very important factors. Strengths: Internal positive aspects that are under control and upon which you may capitalize. Good examples of internal strengths are: Company

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    Operational Improvement for Costa Coffee Shop | | Operational Improvement for Costa Coffee Shop   Introduction Small businesses are mighty minnows‚ reflecting the competitive spirit that a market economy needs for efficiency; they provide an outlet for entrepreneurial talents‚ a wider range of consumer goods and services‚ a check to monopoly inefficiency

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    Data mining

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    University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.

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    Statement 2. Objectives 3. Contingency Planning 4. Staff Resource Plan 5. Asset Resource Plan 6. Operational Review Values and Beliefs within Our School We believe quality teaching and learning is enhanced when LEARNERS: are valued are challenged with success see purpose in learning derive enjoyment want to learn are responsible are active participants We believe quality teaching and learning is enhanced when TEACHERS: are enthusiastic and competent provide appropriate

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    Data Mining

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    Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations

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    you learned about the 5 core operational strategies (preventive patrol‚ routine incident response‚ emergency response‚ criminal investigation‚ problem solving) and 1 ancillary operational strategy (support services) that are employed by law enforcement agencies to fight and reduce crime. This week you are required to create a PowerPoint presentation that meets the following criteria: 1. Summarize the five core operational strategies and the one ancillary operational strategy of law enforcement

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