...Data Table Analysis University of Phoenix Accounting Information Systems ACC/542 Anita Rodriguez April 2, 2012 Data Table Analysis Kudler Fine Foods was founded by Kathy Kudler in La Jolla in 1998. In the beginning, Kudler Fine Foods had only one store, causing Kathy Kudler to make the decision to use the Microsoft Access database to monitor and maintain sales, employees, inventory, customers, and orders. Because Kudler Fine Foods inventory was perishable, it was imperative to track properly these items. Possessing too much inventory was always a concern of Kudler Fine Foods, if the inventory information was inaccurate, outdated, or incomplete the information would be of no use to the company. This paper will present suggestions for enhancement, evaluate database tables from an accounting point of view, and generate a pivot table to assist the management of Kudler Fine Foods with preparing improved reports in accounting and enhance the decision-making process. Evaluate the design elements of the data tables from an accounting perspective The inventory tables allow the users to establish when to order additional inventory and what inventory is on hand. The use of data table analysis is of the essence for this process. The data table is intended to categorize the data into departments, financial codes, items, and it adds the total amount for the transaction codes. It also adds the amount of items in the inventory during a specified period. The data table design...
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...Data Table Analysis Accounting 542 November 6, 2015 Data Table Analysis Organizations rely heavily on receiving accurate data and information to make strategic business decisions. The concept is a critical aspect for modern commerce, since technological advances allows any business to track, trace, and predict inventory usage up to the moment. Each diagram in an analyses alludes to how accurate an organization’s methodology for operations is. Data tables are a useful tool for organizations to determine a cost-effective method for improving inventory control and for creating methods to improve business processes. Evaluate Data Table Design Elements from an Accounting Perspective Kudler’s Fine Foods’ requires the use of data tables for management to perform an accurate analysis for controlling inventory. Personnel must possess information with little effort to perform daily operations. A data table’s ability to organize information is a large contributor in management’s ability to order adequate inventory. The information available also helps management calculate the Just in Time (JIT) inventory method. Supplemental, the inventory information is crucial to determine when to order more inventory and the amount to order as well. The grocery store’s current inventory data table illustrates critical information such as, item codes, inventory items, locations, and the total value of the inventory (and each individual...
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...Evaluation Data Tables Data Table analysis is essential to the success of Kudler, the information provided in these tables is available for the end user to determine inventory levels and when ordering is needed. The design of data tables organizes the financial data into department, financial codes, items and then sums of total amount of transaction. Data tables maximize the visual and informational presentation for the financial data. The user can easily identify information about each item as belonging to certain department, and how many items were received at the given cost for a certain period. It allows finding total amount and quantity on hand for an item and calculating average price for an item. Entity relationship diagram illustrates the hierarchy of how information reviewed by end users. The data represented in entity relation diagrams (E-R) includes the business entities and the relationship among them. E-R diagrams use four symbols: rectangles to represent entities, diamonds to describe relationship, ovals describe the entity, characteristics, and connecting lines depicts relationships. Recommendation for improvements to the Data Tables The Pivot Table is two-dimensional statistical summay of database information and can be improved by arranging the codes chronologically and sorting the data by compiling the list of product inventory levels. This will facilitate monitoring items for a department that has different items to sell. Data sorting will allow...
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...Data Table Analysis Crystal Spencer ACC/542 February 27, 2012 Christy Countryman Kudler Fine Food is the fast growing fine food specialty business that was established in 1998, and at each of their stores the company first initially selected Microsoft Access as their AIS to track employees, customer, inventory, orders, and sales. Kudler’s products have perishable inventory that must be properly tracked. This brief will evaluate database tables from an accounting perspective. In addition, gives recommendations for improvement, pivot table, and entity relationship diagram will help the company have a better decision-making process. Assessment of the design elements of the data tables from an accounting perspective. Data Table analysis is vital to the success of the business, the data given in these tables is available for the end user to determine how much inventory is available and when it require to order more inventory. The purpose of the data tables will arranges the financial data into department, financial codes, items, and sums of total amount of transaction. Data table get the most out of the informational and visual presentation for the financial data. The user of the data can easily to identify the item belongs to certain department and how many items were received at the given cost for a certain period. In addition, the data allows in finding quantity and total amount on hand for an item and calculating average price of the item. ...
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...Data Table Analysis ACC/542 May 19, 2014 Data Table Analysis Kudler Fine Foods is an upscale specialty store that is located in the San Diego area. There are three locations: La Jolla, Del Mar, and Encinitas. KFF carries the best domestic and imported fare ranging from bakery and pastry products to cheese and specialty dairy products. The purpose of this paper is to evaluate the design elements of the data tables from an accounting perspective and to recommend improvements to the existing data tables. The paper will also explain how the information in the pivot table may improve decision making for management at KFF. When glancing at KFF’s data tables they seem to be easy to understand by someone with or without an accounting background. The inventory table consists of the components that make up an inventory item. This table is used for managing the inventory and determining the availability of all ingredients that are needed to prepare items. The inventory items are displayed according to the following description items: item ID, inventory ID, perishable, nonperishable, department, category, description, unit of measure, quantity on hand, unit cost, master pack quantity, supplier ID, assembly line, substitute item, and tagalong item. There are changes that can be made to further develop the inventory data at KFF. Entity diagrams are used to illustrate the relationship between entities and their corresponding associations. The different shapes are used to signify...
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...items through flow charts or in a similar illustrative way so that it can get its user understood the scheme in no time, but the existing table does not possess this type of quality for accounts receivable sales and payments etcetera. All of this should be in a complete manner that may prove to be a complete manual for the business conduct. Data table on their web site and below Entity Relationship diagram are clearly in support of the process of decision making and pertinent improvement thereto. Based on accounting records the table makes the management up on decision making process. How is the table pertinent to that of accounting records containing the information? Clearly it depicts first off the cost centre namely Department 10 and codifies the items in turn, well sum and quantity direct one on the respective amounts given. Pivot Table also shows total quantity on hand and total amount in a given period Entity Relationship Diagram of Kudler Fine Food Data Table Kudler Database Diagram The above diagram is constructed in such a way that links various items through Variable Characters numbered in a particular way, starting with the table designed for customer data is followed by a table stating information for orders duly codified and assigned a particular ID. The table is adroitly linked with Tax table and Tender that prettily is...
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...Top Data Management Terms to Know Fifteen essential definitions you need to know Fifteen Essential Data Management Terms We know it’s not always easy to keep up-to-date Contents with the latest data management terms. That’s why we have put together the top fifteen terms and definitions that you and your peers need to know. OLAP (online analytical processing) Star schema What is OLAP (online analytical processing) Fact table OLAP (online analytical processing) is computer processing that enables a Big data analytics Data modeling Ad hoc analysis user to easily and selectively extract and view data from different points of view. For example, a user can request that data be analyzed to display a spreadsheet showing all of a company's beach ball products sold in Florida in the month of July, compare revenue figures with those for the same products in September, and then see a comparison of other product sales in Data visualization Extract, transform, load (ETL) Florida in the same time period. To facilitate this kind of analysis, OLAP data is stored in a multidimensional database. Whereas a relational database can be thought of as two-dimensional, a multidimensional database considers each data attribute (such as product, geographic sales region, and time Association rules (in data mining) Relational database period) as a separate "dimension." OLAP software can locate the intersection of dimensions (all products sold in the...
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...SKETCH OF SPECIALIZATION REPORT & EVALUATION FORMATS - 2014 S.No Content Page No. 1 Sketch of Report on Specialization Project 2-3 2 Comprehensive comparative table (Review of Literature) - Annexure -I 4 3 Sequence of the Report- Annexure-II 5 4 Evaluation weightage-Annexure -III 5 5 EVALUATION FORMAT- SP-2014 - At the end of 1st Week 6-7 6 EVALUATION FORMAT - SP-2014 - At the end of 2nd Week 7-8 7 EVALUATION FORMAT - SP-2014 - At the end of 3rd Week 8-9 8 EVALUATION FORMAT - SP -2014 - At the end of 4th Week 9-10 Sketch of Report on Specialization Project Objective The objective of Specialization Project is to provide of in depth learning in the area of specialization. This project is more focused on the students chosen area as a specialization and wants to have career. It should facilitate the student to have a deeper understanding in his/her specialization. Details of Specialization Project The Specialization project should be done by every student as a part of their course which carries 100 marks and will be included in the marks sheet. This project provides an opportunity to get more insights on the topic chosen by the student. In the process, the student will get a chance to (a) evaluate the applicability of the textbook theories in real time situations and (b) to analyze the performance of entities and markets using statistical and analytical methods...
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...BC Canada V6G 1A5 Telephone: +1-604-669-4225 E-mail: info@acl.com Web: www.acl.com Printed in Canada ACL, the ACL logo, the ACL logo with the text, "ACL Data you can trust. Results you can see." and Audit Command Language are trademarks or registered trademarks of ACL Services Ltd. Microsoft, Windows and Windows Server are trademarks or registered trademarks of Microsoft Corporation. AIX, OS/390, OS/400 and z/OS are registered trademarks of IBM Corporation. Linux is a registered trademark of Linus Torvalds. SAP, R/2 and R/3 are trademarks or registered trademarks of SAP AG. Crystal Reports is a trademark or registered trademark of Business Objects SA. All other trademarks are the property of their respective owners. 200607031748 C ONTENTS Chapter 1: Take your first look at ACL . . . . . . . . . . . . . . . . . . . . . 1 Making effective business decisions ................................................ 2 What can I use ACL for? ................................................................... 3 How does ACL read data? ................................................................ 4 How do I apply ACL to my project? ................................................ 5 Organizing your project items ......................................................... 6 Viewing and modifying your tables ................................................. 7 Changing the columns in a...
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...Introduction to Data Warehousing and Business Intelligence Slides kindly borrowed from the course “Data Warehousing and Machine Learning” Aalborg University, Denmark Christian S. Jensen Torben Bach Pedersen Christian Thomsen {csj,tbp,chr}@cs.aau.dk Course Structure • Business intelligence Extract knowledge from large amounts of data collected in a modern enterprise Data warehousing, machine learning Acquire theoretical background in lectures and literature studies Obtain practical experience on (industrial) tools in practical exercises Data warehousing: construction of a database with only data analysis purpose • Purpose Business Intelligence (BI) Machine learning: find patterns automatically in databases 2 •1 Literature • Multidimensional Databases and Data Warehousing, Christian S. Jensen, Torben Bach Pedersen, Christian Thomsen, Morgan & Claypool Publishers, 2010 • Data Warehouse Design: Modern Principles and Methodologies, Golfarelli and Rizzi, McGraw-Hill, 2009 • Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications, Elzbieta Malinowski, Esteban Zimányi, Springer, 2008 • The Data Warehouse Lifecycle Toolkit, Kimball et al., Wiley 1998 • The Data Warehouse Toolkit, 2nd Ed., Kimball and Ross, Wiley, 2002 3 Overview • • • • Why Business Intelligence? Data analysis problems Data Warehouse (DW) introduction DW topics Multidimensional modeling ETL Performance optimization 4 •2 What is Business Intelligence (BI)? • From...
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...locations in California is faced with increasing productivity while controlling costs internally. In short, Kudler Foods has to manage costs and use technology to aid in the process of streamlining operations in all locations. The purpose of this analysis is to provide a clear and concise analysis of the method Kudler Fine Foods is currently using and offer recommendations to improve efficiency by capturing important data rather than extemporaneous data. Specifically, the current system used by Kudler Fine Foods does little to provide a true picture of inventory sources and the effect of the data on Kudler Fine Foods bottom line. The current data table found on Kudler Fine Foods Finance & Accounting tab simply lists GL codes, products, and cost. While this information provides basic information regarding inventory and costs, the data table does not break out for users of the data comparable data to make decisions regarding inventory. One benefit of the data table currently used is that it provides departmental data that can be used and analyzed by department managers. Recommendations Data tables, specifically a pivot table can provide essential data that can be used not only departmentally, but also across the organization. The data extracted can be then analyzed and compared location to location providing management insight on cost expenditures and vendor inventory. Many...
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...dimensions. This discrimination is disturbing their performance. The main aim of this study is to see the effect of these gender discrimination dimensions which include glass ceiling, salary gap and discrimination in facilities on the productivity of female employees with the mediating effect of job commitment and job satisfaction. The research is focused on the private education sector. The population frame is the female teachers in the private education institutes. A sample of 130 female teachers is collected for this study. The framework is developed for our study for checking the impact of glass ceiling, salary gap and discrimination in facilities on the productivity of female employees. The hypotheses are developed and after the data analysis some of the hypothesis are rejected and some of the hypothesis are not rejected. The hypotheses that the glass ceiling, discrimination in facilities and salary gap has negative impact on employee productivity is accepted which made us to conclude that these discrimination has a big impact on employee productivity and ultimately organizational performance. This study will give some guidelines to the managers and policy makers in any organization that how to reduce these discriminations. Key words: Gender discrimination, Glass ceiling, Employee productivity, salary gap, discrimination in facilities, job satisfaction, job commitment, Paper type: Research Paper 1. Introduction 1.1 Significance/Rationales of...
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...Review On Cluster Analysis Submitted for the partial fulfillment of process related to Continuous Internal Assessment 1 In Marketing Analytics [MBA - III Trimester (MBA 322)] Submitted By P.Akhilesh 1420419 Cluster analysis? The Cluster Analysis is an explorative analysis that tries to identify structures within the data. Cluster analysis is also called segmentation analysis .It is used to identify groups of cases if the alignment is not previously known. Because it is explorative it does make any distinction between dependent and independent variables. The different cluster analysis methods that SPSS offers can handle binary, nominal, ordinal, and scale (interval or ratio) data. Different types of cluster analysis include: * Hierarchical Analysis * Two step Cluster * K-means cluster From the given data set: * We have both continuous and categorical variables * Continuous variables include: Attitude towards Nike, Awareness towards Nike, Preference for Nike Loyalty for Nike and purchase intention for Nike * Categorical variables: Sex, Hierarchical Cluster Analysis: Ward method: * Here it is clearly mentioned that from cluster one 15 respondents are available , from cluster two 15 respondents are available and from cluster three 10 respondents are available * We have 5 missing respondents who had not respondent or the data is inaccurate Interpretation for Agglomeration table * The results...
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...practice of using marketing research to confirm that a decision already made is the right decision rather than using market research to identify alternative choices and to support the process hy which the hest alternative is ehosen. In this series of foldout tables, I present a guide for managers who want to use market research to develop and support market-based decisions. The tables form a decision-support framework that uses research tools to help companies develop a balanced approach to the "technology push/demand pull" product development process. The structural components of the framework are accountable management, the company's decision process, marketplace reality, and the market research function. The five sections of the gateiold identify the steps researchers must take: (1) Assess market information needs; (2) Measure the marketplace; (3) Store, retrieve, and display the data; (4) Descrihe and analyze HARVARD BUSINESS REVTEW laiuuirv-Febiiiatv 1 ^ market information; (5) Evaluate the research and assess its usefulness. The reference material here is encyclopedic-the product of a great deal of thought by colleagues in business, market research and advertising agencies, academia, and elsewhere. As such, the tables are invaluable for all stakeholders witliin the company who need to develop a sensitivity to the voiee of the market. These stakeholders include people in product development, engineering, manufacturing, finance, human...
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...CHAPTER Importing Data into Excel Image copyright Gina Sanders 2010. Used under license from Shutterstock.com © Cengage Learning. All rights reserved. No distribution allowed without express authorization. 17 FINDING INFORMATION WITH DATA MINING T he types of data analysis we discuss in this and other chapters of this book are crucial to the success of most companies in today’s datadriven business world. However, the sheer volume of available data often defies traditional methods of data analysis.Therefore, a whole new set of methods—and accompanying software—has recently been developed under the name of data mining. Data mining attempts to discover patterns, trends, and relationships among data, especially non-obvious and unexpected patterns. For example, the analysis might discover that people who purchase skim milk also tend to purchase whole wheat bread, or that cars built on Mondays before 10 A.M. on production line #5 using parts from suppliers ABC and XYZ have significantly more defects than average. This new knowledge can then be used for more effective management of a business. The place to start is with a data warehouse.Typically, a data warehouse is a huge database that is designed specifically to study patterns 17-1 ■ ■ ■ ■ ■ Classification analysis attempts to find variables that are related to a categorical (often binary) variable. For example, credit card customers can be categorized as those who pay their...
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