Pizza kitchen because they can provide important information to the kitchen. Before using the BI tool, the California Pizza kitchen used the old system to manage the financial statements, it made a lot of trouble in data organizing and calculating. After using that tools, it provides the fast and accurate way in data organizing and data calculations. It can make the communication more efficiently and effectively. 3． It is impossible to have 100 percent accurate and complete information because
Words: 412 - Pages: 2
Data Monetization: A Retailer’s Journey Mohammad S. Najjar University of Memphis Department of Management Information Systems 363 Fogelman Administration Building Memphis, TN 38152-3120 (901) 678 2478 msnajjar@memphis.edu William J. Kettinger1 University of Memphis Department of Management Information Systems 346 Fogelman Administration Building Memphis, TN 38152-3120 (901) 678 4547 bill.kettinger@memphis.edu A Paper submitted to the MISQ Executive special issue on “Big Data” Acknowledgements:
Words: 7535 - Pages: 31
Inc. Data Collection Christopher Pittman, Melanie Grimmer, Heather Jeffers, and Talikka Fells QNT/351 April 8, 2014 Ronald Ryan Ballard Integrated Managed Services, Inc. Data Collection This is a written report presenting our findings to the senior management. We will address the Present BIMS situation as an overview—design, purpose, research questions, and hypotheses. We also will describe the instrument used for data collection, identify types of data collected—quantitative
Words: 1428 - Pages: 6
organization or one potential application of Business Intelligence within your organization? I work in the cruise industry. I never really knew how much Business Intelligence was a science. Granted, I knew we have analysts and copious amounts of data, but I never truly gave it much thought. After studying BI, I have come to realize BI is an essential aspect of my organization’s success. From measuring productivity of different departments (such as revenue, event planning, individual & groups
Words: 526 - Pages: 3
Dashiff, Riley, Abdullatif & Moreland (2011) goal in this article was to describe the experiences of parents of 16 to 18 years old adolescent with type 1 diabetes Mellitus (TIDM). Information gained from this research can be use to develop education program that will help parents with TIDM adolescent self-management efforts. In support of the research, a thorough discussion of the difficulty parents have in letting go when their children reaches the age to take over the management of their
Words: 1301 - Pages: 6
Gather and analyze the appropriate data • Prepare the forecast • Monitor the forecast Types of Forecasts • Qualitative o Judgment and opinion o Sales force o Consumer surveys o Delphi technique • Quantitative o Regression and Correlation (associative) o Time series Forecasts Based on Time Series Data • What is Time Series? • Components (behavior) of Time Series data o Trend o Cycle
Words: 1209 - Pages: 5
description of the research project and issue under investigation and an analysis of good practice in relation to this issue………Page 3 2. Identification of the key stakeholders and why and how they might be interested in or affected by this study………………………………Page 5 3. The key sources of secondary research and an evaluation of their contribution to the study…………………………………………......Page 6 4. The key methods of collecting primary data and their relative strengths and weaknesses…………………………………………………..
Words: 3079 - Pages: 13
Basic Definitions & Concepts: Data: facts/figures from which conclusions can be drawn Data Set: data that are collected for particular study Elements: people, objects, events, or other entries Variable: any characteristic of an element Population: set of all elements about which we wish to draw conclusions Census: examination of all population measurements Sample: subset of the units of a population Population (Param.) & Sample (Stat.) Population: group of all items of interest
Words: 654 - Pages: 3
article “Diamonds in the Data Mine” specifically discusses the use of data analytics by Gary Loveman in generating data-driven marketing strategies for Harrah's Entertainment to increase its revenues. When other companies concentrated in constructing costly offerings, Harrah's used data to find patterns and solutions to improve each customer's satisfaction. Harrah's Entertainment used database marketing and decision-science based tools to gain competitive advantage. Using the data analytics, they proved
Words: 524 - Pages: 3
handles more than one million customer transactions every hour and generates more than 2.5 petabytes of data storage (Venkatraman & Brooks, 2012). To put this into perspective, this data is equivalent to 167 times the number of books in America’s Library of Congress (Venkatraman & Brooks, 2012). So how can Wal-Mart use this massive amount of data and what useful information can this data provide? This paper will provide a brief overview of the importance of Business Intelligence (BI) and
Words: 867 - Pages: 4
