...present. Knowledge Management System would require as a first step to invest in data acquisition mechanism. Currently the practice is that each store sends some data either in spreadsheets or hard papers to be collated at the head office. In order that this data becomes important information can be translated into knowledge, it is essential that some vital statistics and information be captured periodically. Depending upon the source of the information, we would be classifying this into two categories – internal and external. Internal Source: This would refer to all the information which exists within the stores and the head office and can be pulled out without any dependence on an external agency (Christopher, J. 1994). Some of the examples are - Sales figures at each store Customer foot fall at each store Merchandise wise sales Enquiries for product line unavailable Customer Segmentation at each store – by age, gender, personality types Salesperson wise sales or units sold Productivity rate i.e. Number of people who bought something vs. total foot fall Advertising Campaigns/ POS used at each store Sales increase post advertising , in-store marketing External Source: In addition to the above, it would be essential that the company also gathers data from outside agencies, from secondary sources like research firms, market, Television, competitors etc. Examples of such data and statistics would include the following – Number of competitor outlets...
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...and old from smoking and preventing the retailers selling tobacco to people under age or below 19-20. As I was researching for my project, I came across very interesting articles but they were all different from each other, some said that tobacco and pollution (car emission) are the cause of Lung cancer cases, or that no they are not, or that the rates have gone up for tobacco and car sales, or some would say they haven’t. I tired my best to collect the best of the best. It is suspected that tobacco with its negative reputation that is the larger causes of lung cancer, but other says that car emission is also a cause of lung cancer, so I decide to pick this study and find that data’s for which is really the cause of lung cancer or nether are the primary indicators of future lung cancer cases. The Data I collected was all from www.E-Stat.com. It took a good 2-3 days for me to collect the right data because every data had different views and statistic on the study that I picked, so I looked into my study deeply and picked out the ones that were accurate and similar to each other in dates. The data I got had the entire...
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...audit objectives and the accuracy objective 3. Data Validation Controls * Input validation controls are intended to detect transcription errors in transaction data before they are processed. Validation procedures are most effective when they are performed as close to the source of transaction as possible. a. Missing Data Check – are used to examine the contents of a field for the presence of blank data or spaces (missing product numbers, missing customer accounts numbers, or incomplete mailing address) b. Numeric-alphabetic data checks – determine whether the correct form of data is in a field. An invoice total should not contain alphabetic data. c. Limit Check-determine if the value In the fields exceeds an authorized limit. (prices limit or discounts limit) 4. Batch Controls – are used to manage high volumes of transaction data through a system. The following are relevant controls: a. A unique batch number b. A batch date c. A transaction code (indicating the type of transactions, such as sales order or cash receipt). d. The numbers of records in the batch (record count) e. The total dollar value of a financial field (batch control total) f. The total of a unique nonfinancial field (hash total) PROCESS CONTROLS 1. File Update Controls – monitoring the batch as it moves from one programmed procedure (run) to another. 2. Sequence Check Control * An out-of-sequence sales order record in a batch may prevent the remaining...
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...company could handle anything from hardware installation to software deployment. It is the use of networks, computers, software, programming languages, and computer hardware; these are all examples of the scope information technology. Managed Information Systems (MIS) is the practice of how information is delivered, communicated, organized and used in order to achieve any number of goals. The MIS department is a division of the general in-house controls of a business that deals with the use of people, documents and procedures by management. The MIS department uses these controls to solve business problems, report data to management, finance and sales. The MIS department would provide and collect information for research and development to provide a service or a business-wide strategy. The MIS department would essentially be a part of everything from management, finance, sales, research and development to final production. Although most information is delivered electronically the MIS department doesn’t deploy technology in a hands on sense. The MIS department would essentially handle “HOW” and “WHERE” that information is used, and to whom it is delivered. The MIS department would work with the IT department only in matters of delivery and new communications deployment. The MIS department would design the direction of the traffic, but...
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...Contents Introduction 3 Information 3 Written information 3 Images 3 Verbal Information 3 Multimedia information 3 Diagrammatical (Flowchart) information 3 Symbolic information 3 Statistical information 3 Data 4 Information VS Data 4 Quantitative Data 4 Qualitative Data 4 Quantitative Data Vs Qualitative Data 4 Primary Data 4 Secondary Data 4 Primary Vs Secondary sources of information 4 Internal Information 4 External Information 4 Internal vs. External Information 4 Purpose of information 5 Operational support 5 Analysis 5 Decision making 5 Marketing and sales 5 Communication 5 Flow 5 Analysis of Information 6 Decision Making 6 Gaining Advantage 6 Sources of Information 7 Sales department 7 Finance 7 Marketing 7 Operational support 7 Production 7 Human resources 7 Research and Development 7 Administration 7 Purchasing 7 Bibliography 8 Introduction This report is about the different departments within a business and describes what each department’s role is within an organisation. This report also explains the different types of information and shows how each department within an organisation uses information to help with its role for the business. Information Information is data that has been processed in a way so that it can be meaningful towards anyone who receives it. Information is usually accurate and specific, because of this; it can lead people into understanding things better and being certain...
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...Riordan Manufacturing is an organizations that operating with incompatible accounting program. Each facility may operate on its own well, the financial data supplied to the corporate office comes in many different forms from hard copies to spreadsheets. This has led to countless man hours that being lost while data is input at one operation and then manually transferred to another system, when it arrives at its destination. Corporate Accounting must then assemble its financial statements and budgets based on data information. The system overhaul needed the ERP (Enterprise Recovery Program) system. It insures that the purchase new system for Riordan will have application source code rights to customize software to their growing needs. This wills improved Riordan Manufacturing flows of financial information throughout the corporation Riordan will again benefit substantially improve its Financial & Accounting systems with an implementation of the recommended ERP system, NetSuite®. NetSuite® ERP system contains a complete financial and accounting system, including general ledger, financial reports, accounts receivable and payables, and budgeting. This system will dramatically enhance the data flow between facilities and into the corporate office producing real-time financial information. An ERP system that will connect the Finance and Accounting information with all the other departments will only strengthen Riordan going forward. While the initial costs of bringing all facilities...
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...New System Proposal Team A CIS/207 February 23rd 2014 Riordan Manufacturing requires an innovative information system proficient in the organization of product sales, which allows management of data by employees from computers and mobile devices. This new system would contain customer records and be password protected for sales agent’s individual accounts and further promote confidentiality of client and corporate data. Information security and carbon footprints will need to be addressed with creation of a new data warehouse. The cloud computing system would be an idyllic system for addressing the needs of Riordan Manufacturing and would be an inexpensive conversion from the old systems. Cloud computing initially evolved from visualization. The use of visualization would allow Riordan to separate its software, business applications, and data from hardware sources that may experience an issue. The cloud offers storage, network, and hardware virtualization. Businesses can set up private clouds as storage warehouses for company information. Information technology virtualization enhances the business’s assets and offers lower administration fees, reduced maintenance, and consolidation of company information for strategic marketing initiatives in one location. With this in place, there would be less risk of possible loss of important and pertinent information. The entire marketing division would be combined into one superior database for easier comparison of information. Switching...
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...- Lecture Notes (Chapter 1 of text book) Contents Concepts of Information System s (IS) Com ponents of an IS Data vs Inform ation Characteristics of Valuable Information What is a System ? What is a Model ? Com puter-Based IS (CBIS) Technology Infrastructure Business Inform ation System s (BIS) Special-Purpose BIS 1 Concepts of Information Systems (IS) IS are ev erywhere! e.g ? ATM ¨ cash withdrawal / deposit, check balance, transfer m oney to another A/c ? Internet ¨ online trading, searching, etc.. ? Touch N Go system, Movie Ticketing System ? HandPhone, PDA, ? scanners, bar codes,etc.. ¡ ¡ ¡ ¡ ¡ Can we live without IS ??? What is an IS ? - a s et of interr elat ed c om pon ents th at c ollect, manipu late, an d diss emin at e dat a/inf orm ation an d pr ovide a f eedback m ech anism t o m eet an objective. Com pon ent s of an IS collect manipulate disseminate f eedback Components of an IS ? Input (I/P) ¨ the activity of collecting, capturing or gathering of raw data. E.g to produce a paycheck for an em ployee ? No. of hours work, h ourly r at e ¨ can be m anual or autom atic ¨ input device i.e. scanner, keyboard etc.. 2 Components of an IS ¡ c o n t¡ ? Process ¨ the activity of manipulating, converting or transforming data into useful outputs. ¨ involves calculations or com parisons ¨ E.g to produce a paycheck for an em ployee ? Multiply No. of hours work by h ourly...
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...with the data set reveals many key aspects of the industry. Utilizing the descriptive statistics for each of the four variables in the data set can include mean, mode, median, z-score, standard deviation, dispersion, and correlation coefficient. Outliers are defined as a data set that has unusually large or unusually small values will also be determined using the same statistics (Anderson, et al., 2011). An evaluation of these descriptive statistics and the relationship between the total gross sales will be the focus of this critical thinking exercise. Good introduction. The first data set includes opening day gross revenues. The median opening day gross was .39 which means that half of the movies in this data set were less than .39 and the rest were more than .39. The median is the middle of an ordered score of an odd number of data or half way between the even two numbers. The mean was 9.38 and the standard deviation was 18.875 based on 100 movies (Expert, 2011). Simple mean is calculated with the follow formula: x=Ex1/n.The opening day variance is .03 to 108.44 ($ millions) equaling 108.43. Therefore with a median of .39 and a mean of 9.38 indicates that there are many movies on opening day that are not making money and a few are making much money. (Expert, 2011) The second set of data is the total gross revenue column. The data width or range is from .03 to 380.176 equaling 380.18 which is a large variance. The median total gross sales were 5.85%...
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...Sales Support: Computer-Aided Selling (CAS) Release 4.6C HELP.SDCAS Sales Support: Computer-Aided Selling (CAS) SAP AG Copyright © Copyright 2001 SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft , WINDOWS , NT , EXCEL , Word , PowerPoint and SQL Server are registered trademarks of Microsoft Corporation. IBM , DB2 , OS/2 , DB2/6000 , Parallel Sysplex , MVS/ESA , RS/6000 , AIX , S/390 , ® ® ® AS/400 , OS/390 , and OS/400 are registered trademarks of IBM Corporation. ORACLE is a registered trademark of ORACLE Corporation. INFORMIX -OnLine for SAP and Informix Dynamic Server Informix Software Incorporated. ® ® ® ® ® ® TM ® ® ® ® ® ® ® ® ® ® ® ® ® ® ® ® ® are registered trademarks of UNIX , X/Open , OSF/1 , and Motif are registered trademarks of the Open Group. HTML, DHTML, XML, XHTML are trademarks or registered trademarks of W3C , World Wide Web Consortium, Massachusetts Institute of Technology. JAVA is a registered trademark of Sun Microsystems, Inc. JAVASCRIPT is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and implemented by Netscape. SAP, SAP Logo, R/2, RIVA, R/3, ABAP, SAP ArchiveLink,...
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...textbook with the data set reveals many key aspects of the industry. Utilizing the descriptive statistics for each of the four variables in the data set can include mean, mode, median, z-score, standard deviation, dispersion, and correlation coefficient. Outliers are defined as a data set that has unusually large or unusually small values will also be determined using the same statistics (Anderson, et al., 2011). An evaluation of these descriptive statistics and the relationship between the total gross sales will be the focus of this critical thinking exercise. Good introduction. The first data set includes opening day gross revenues. The median opening day gross was .39 which means that half of the movies in this data set were less than .39 and the rest were more than .39. The median is the middle of an ordered score of an odd number of data or half way between the even two numbers. The mean was 9.38 and the standard deviation was 18.875 based on 100 movies (Expert, 2011). Simple mean is calculated with the follow formula: x=Ex1/n.The opening day variance is .03 to 108.44 ($ millions) equaling 108.43. Therefore with a median of .39 and a mean of 9.38 indicates that there are many movies on opening day that are not making money and a few are making much money. (Expert, 2011) The second set of data is the total gross revenue column. The data width or range is from .03 to 380.176 equaling 380.18 which is a large variance. The median total gross sales were 5.85% which...
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...the gathering of data. There is a wide range of data to be collected in any organization. Data is collected from different departments within the organization. There is also a wide range of departments for data to be collected from, depending on the type of business. Information such as invoices, e-mails, employee performance, job promotions and openings, and paid salary can be collected from the internal offices. There is information to be gathered from various other departments as well. The main ones that are important are production data, sales data, management data, human resources data, research data, and online data. An example of gathering information is having an employee record on a piece of paper each pallet of candy bars that has been loaded into a truck and made ready for shipping. All of this information is produced by things that are happening, have been researched, or have been recorded and defined for a particular reason. The next part of the information flow process is conversion. The gathered data then needs to be converted so that it is all in the same format. An example of this is entering the production records from the day into a computer system. Another example is transferring new employees records from a paper file into a database of all employees. Information conversion can also include converting numbers, classes, or descriptions so that the formats match and it will then be workable and ready integrate with other data. Once the data has been converted...
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...you for the opportunity to assess your sales data in order to provide recommendations for increasing your sales. The analysis and recommendations below are based on the data you provided, which covers a period from May 2004 through June 2006. The analysis below is based on this data alone. ANALYSIS 1 Salesperson Performance Analysis Analysis Data was analyzed by each salesperson that has the highest and lowest sales. The highest salesperson is Margaret with total sales of $232,890.85 and the lowest is Steven with total sales of $68,792.28. Graphic Recommendation Based on the Salesperson Performance, a goal and a baseline, needs to be established. If over the goal, the Salesperson could win a prize or a day off from work. If under baseline, Salesperson will be put on an action plan to save their job or be demoted. This could help in boosting sales and motivation. ANALYSIS 2 Category Sales Analysis Category Sales were analyzed to what is selling the most and least. Beverages were selling the most with the total of $267,868.18, and Grains/Cereals were selling the least with the total of $95,744.59. Graphic Recommendation Based on the Category Sales data, increasing the unit price or decreasing the discount level would help improve sales revenue. By decreasing the discount level could help cut down cost and offset increases of expenses. ANALYSIS 3 Country Sales Analysis Country Sales was analyzed as to what country is selling...
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...considered as an overall success. However, general widespread promotions may not be economically feasible in the future. In this regard, the data from the sales for one day will be analyzed in order to develop a better customer profile and evaluate the promotional campaign. The first variable of interest will be number of items sold per customer. Items | Percent Frequency | (0-2) | 56 | (3-5) | 28 | (6-8) | 9 | (9-11) | 4 | (12-14) | 1 | (15-17) | 2 | From this data, we see that the number of items sold is heavily skewed to the right. Most of the item sales were within the 0-2 and 3-5 items sold range, comprising 74% of the sales. From this data, we can say that customers prefer to buy items in small quantities rather than large. The next variable we look at will be net sales in dollars. Net Sales | Percent Frequency | (0-50) | 39 | (51-100) | 35 | (101-150) | 16 | (151-200) | 6 | (201-250) | 1 | (251-300) | 3 | This data more or less agrees with the data that we acquired when looking at the number of items sold. We see that the data is heavily skewed to the right, with the majority of sales bringing in between $0-$50 and $51-$100. This makes sense because we already know that many people are buying in smaller quantities, so it makes sense that the majority of sales would bring in a proportionate amount of sales,...
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...information, developing findings, and taking marketing actions. Constraints in a decision are the restrictions placed on potential solutions to a problem such as limitations on time and money. The difference between primary and secondary data is that primary data are facts and figures that are newly collected for the project, while secondary data are facts and figures that have previously been recorded. Some advantages of secondary data are the time savings, and the low cost. disadvantages of secondary data include that the secondary data may be out of date and the categories might not be right for the researchers project. The difference between observational and questionnaire data are that observational data can be collected by mechanical, personal, or neuromarketing methods, while questionnaire data are facts and figures that are obtained by asking people. Personal Interview provides the greatest flexibility. The difference between a panel and experiment is that a panel is a sample of consumers or stores from which researches take a series of measurements, while an experiment obtains data by manipulating factors under controlled conditions to test cause and effect. Data mining differs from traditional marketing research because data mining is extracting information about someone through large databases, while traditional marketing research is analyzing information and recommending actions to improve an organization's marketing activities. In the marketing research...
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