Management information systems ppt
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An information system gathers and disseminates data to provide information to users. It analyzes and processes an organization's data to produce meaningful information that helps management make informed decisions to ensure future growth. Data becomes useful information when it is organized, structured, and interpreted in a particular context. Information systems collect data through surveys, secondary sources, objective tests, and interviews and then process it to create information for recipients.
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Quality management system questionnaire
This document discusses quality management system questionnaires. It provides information on quality management system questionnaire forms, tools, and strategies. It also lists additional useful resources for quality management including ebooks, forms, templates, key performance indicators, and interview questions. The main body includes a sample quality management system questionnaire for a company to complete. It requests information on the company, certification details, quality management tools used, and management systems. Included are sections on applicant information, certification information, and four common quality management tools - check sheets, control charts, Pareto charts, and scatter plots.
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IS - Audit Checklist for all companies. The checklist comprehensively covers audit aspects of management information systems.
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This document discusses quality management system questionnaires. It provides information on quality management system questionnaire forms, tools, and strategies. It also lists additional useful resources for quality management including ebooks, forms, templates, key performance indicators, and interview questions. The main body includes a sample quality management system questionnaire for a company to complete. It requests information on the company, certification details, quality management tools used, and management systems. Included are sections on applicant information, certification information, and four common quality management tools - check sheets, control charts, Pareto charts, and scatter plots.
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The document discusses various topics related to information and data collection methods. It begins by defining information and how data becomes meaningful information when interpreted and organized purposefully. It then discusses different types of primary and secondary data collection methods. Primary methods involve directly collecting raw data through surveys, interviews, experiments, etc. Secondary methods involve using already existing data published in sources like reports, journals, records. The document provides examples and details of various qualitative and quantitative collection techniques for gathering primary data, and discusses merits and limitations of primary versus secondary data.
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This document discusses the relationship between data and information. It defines information as meaningfully interpreted data. An information system is defined as a system that gathers data and disseminates information to provide information to users. The main differences between data and information are discussed, with information being interpreted, organized data. Several techniques for collecting data and characteristics of useful information are outlined. The types of information needed at different management levels and sources of information are also summarized.
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Outline the four steps in the data collection process.Explain why .pdf
Outline the four steps in the data collection process.
Explain why it is so important to be systematic in collecting data.
Solution
Step 1: Identify issues and/or opportunities for collecting dataordata collection goals
what problem are you trying to solve by collecting this data?
Step 2:Develop operational definitions and procedures.
Here we need to be very clear as to what we are measuring, how it is to be measured, and who is
to measure it. Often times we will employ sampling in which case we need to define a sampling
plan.
. Who will the data be collected about?
. Who will the group of interest be compared to?
. What locations or geographical areas will the data be gathered from?
. What categories will be used to identify the group of interest and comparator group?
Step 3 : How should data be collected and What sources of data should be used to collect
information?
There are several methods of collecting data: online-surveys, phone interviews, focus groups and
yes, even dreaded handwritten surveys. Each type possesses its own advantages and
disadvantages. Whichever method you use, there are bound to be obstacles to overcome along
the way.
What sources of data should be used to collect information?
Pre-existing or official data
Survey data
Interviews and focus groups
Observed data
. Two types of data are used in any field of research: qualitative and quantitative.
Qualitative data:
Typically, data is called “qualitative” if it is in the form of words, but may also include any
information that is not numerical in form, such as photographs, videos and sound recordings.
Qualitative methods are aimed at describing a specific context, event, people or relationship in a
broad contextual way, by trying to understand the underlying reasons for behaviour, thoughts
and feelings.
Common qualitative research methods include observation, one-on-one interviews, focus groups
and intensive case studies
Quantitative data:
Typically, data is called “quantitative” if it is in the form of numbers.
A quantitative approach can be used to count events or the number of people who represent a
particular background.
Common quantitative tools include surveys, questionnaires and statistical data (such as Statistics
Canada census information).
It is important to note that all quantitative data is based on qualitative judgment. In other words,
numbers cannot be interpreted by themselves, without understanding the assumptions that
underlie them.
A good research effort involves the use of both types. Both approaches, while distinct, can
overlap and rely on the other to produce meaningful data, analysis and results.
Step 4 : Analyze and interpret data and Act on results
Explaining the technical steps involved in analyzing and interpreting data is beyond the scope of
this guide. An organization will have to determine whether it has the internal capacity and
expertise to analyze and interpret data itself, or whether it will need the help of an external
consultant.
. A summa.
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Inventory Management
- Inventory constitutes a significant part of current assets for many companies, often around 60% of current assets. Effective inventory management is important to avoid unnecessary costs and ensure profitability.
- There are different types of inventory including raw materials, work in progress, and finished goods. The objectives of inventory management are to maintain optimal inventory levels for smooth operations while minimizing costs.
- An optimum inventory level balances ordering costs, carrying costs, and stock-out costs. Both over-investment and under-investment in inventory can be dangerous for a company. Effective inventory management tracks inventory levels and determines when and how much to order.
Software requirements specification of Library Management System
The document provides requirements for a Library Management System. It includes 3 or less sentences:
The Library Management System aims to computerize library processes like book borrowing and maintain member and book details in a database. It will allow librarians and members to search for books, view member accounts, and generate reports. The system needs to be secure, fast, and compatible with common browsers and operating systems.
Inventory management
This document discusses inventory management. It defines inventory as materials obtained in advance of need that are held until used or sold. There are different types of inventories like raw materials, work in progress, spare parts, and finished goods. Inventory valuation involves determining inventory quantities and assigning values. Holding inventory incurs costs like storage, ordering, shortages. The objectives of inventory control are to ensure smooth operations while minimizing costs and risks through techniques like determining economic order quantities and stock levels.
Related Literature and Related Studies
This document discusses the importance of reviewing related literature and studies when conducting research. It states that a review of existing materials provides the foundation for a proposed study by guiding the researcher and helping to identify a research problem or topic, understand the topic better, avoid duplicating other studies, locate additional sources of information, and design the research methodology. The document also outlines the characteristics, sources, and locations of related literature and studies that should be surveyed.
Inventory management
Kuldeep Uttam provides an overview of inventory management concepts in 3 pages. He defines inventory as physical resources held for sale or transformation. The purpose of inventory management is to determine order quantities and timing. Inventories include raw materials, work-in-progress, finished goods, and supplies. Inventory management aims to balance holding versus ordering costs. Methods include economic order quantity models, reorder points, and ABC classification to prioritize inventory items. The document provides definitions and examples of key inventory management terms and techniques.
Chapter 2-Realated literature and Studies
This chapter reviews related literature and studies relevant to the present study. It discusses ideas from local and foreign sources on the importance of computer information technology and information systems. It also examines related theories like the iterative implementation approach and discusses how technologies like WAMP5, Windows 7, and web-based systems have influenced various fields and processes like enrollment. Finally, it summarizes some related local studies that have developed web-based enrollment systems to make the enrollment process more efficient.
clinic database and software management system
This document describes a study conducted on developing an automated patient record management system for St. Francis Hospital Nsambya. It outlines the background and problems with the current manual system, including duplication of data, inconsistencies, and difficulty analyzing patient medical histories. The objectives are to computerize patient, staff, and drug supplier records to address issues with the manual system. The study involved analyzing the existing system and user requirements to design a new electronic system using databases, PHP, and MySQL. The system was implemented and tested to automate record keeping and improve management of patient information at the hospital.
AUTOMATED LIBRARY MANAGEMENT SYSTEM
Its an Automated Library Management System where we the group members have tried to fulfill all the requirements asked for this system.
Online supply inventory system
This document outlines a proposed online supply inventory system for Bukidnon State University, Alubijid External Studies Center. It discusses the need to replace the current manual inventory system with a web-based system to more efficiently track supplies and equipment. The proposed system would be developed using PHP for programming, MySQL as the backend database, and CSS for interfaces. Screenshots are provided to demonstrate what the system may look like.
Inventory management system
This document outlines the requirements for an inventory management system for a general store. It includes four key user roles: administrator, salesperson, sales manager, and inventory manager. The administrator can add/edit/delete user accounts and product inventory. Salespeople can view inventory levels, search for products, generate bills, cancel bills, return unsatisfactory items, and notify managers. Sales managers oversee exceptions and the inventory manager replenishes stock levels based on salesperson notifications. Data flow diagrams and entity relationship diagrams are also included to design the system's architecture and database structure.
Inventory system
This document describes an inventory management system created for Anglo French Textiles. The system tracks inventory for two modules: cotton inventory and yarn inventory. It allows users to purchase raw materials, add new items, track issues and daily expenses, and view reports. The proposed system automates these processes for improved accuracy, security, and ease-of-use compared to the previous manual FoxPro system. It is built using Visual Basic 6.0 for the front end, Oracle 9i for the back end database, and designed to run on Windows XP hardware.
Thesis in IT Online Grade Encoding and Inquiry System via SMS Technology
This document provides background information on an online grade encoding and inquiry system via SMS technology for the San Mateo Municipal College. It discusses the college's current manual grading system and the problems with it, such as the long process for students to inquire about their grades. The objectives of developing a new online system are outlined, including allowing instructors to encode grades online and students to inquire about grades via SMS. The scope and limitations of the new system are also defined. Finally, the significance of the study in benefiting instructors, students, administrators, and future researchers is described.
Library mangement system project srs documentation.doc
The document describes a library management system created in Java. It has four main modules: inserting data into the database, extracting data from the database, generating reports on borrowed and available books, and a search facility. The proposed system automates library processes like adding members and books, searching, borrowing and returning books. This makes transactions faster and reduces errors compared to the manual existing system. The system was implemented using Java, MS Access for the database, and designed to run on Windows operating systems. Testing was done to check functionality and ensure all requirements were met.
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Software requirements specification of Library Management System
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Explain why it is so important to be systematic in collecting data.
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what problem are you trying to solve by collecting this data?
Step 2:Develop operational definitions and procedures.
Here we need to be very clear as to what we are measuring, how it is to be measured, and who is
to measure it. Often times we will employ sampling in which case we need to define a sampling
plan.
. Who will the data be collected about?
. Who will the group of interest be compared to?
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Step 3 : How should data be collected and What sources of data should be used to collect
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There are several methods of collecting data: online-surveys, phone interviews, focus groups and
yes, even dreaded handwritten surveys. Each type possesses its own advantages and
disadvantages. Whichever method you use, there are bound to be obstacles to overcome along
the way.
What sources of data should be used to collect information?
Pre-existing or official data
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. Two types of data are used in any field of research: qualitative and quantitative.
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Typically, data is called “qualitative” if it is in the form of words, but may also include any
information that is not numerical in form, such as photographs, videos and sound recordings.
Qualitative methods are aimed at describing a specific context, event, people or relationship in a
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this presentation highlights the role and need of MIS. it also includes the data flow within databses, datawarehouses and datamarts. It includes the functions of OLAP AND OLTP. It briefs about how data gets converted into information called as data mining. Further sections include different kinds of MIS management levels and managers . Then the outputs of MIS in the form of MIS reports have been illustrated with diagrams. in the later section, MIS and decision making has been discussed in details. concept of SWOT ANALYSIS and Cost benefit analysis has also been described . Structured, Unstructured and semi-structured decisions have also been discussed in detail.
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The document discusses research information management systems (RIMs) and the role of libraries in supporting them. It describes RIMs as systems that collate fragmented institutional research data to reduce administrative burdens. Key functions of RIMs include automated data capture, integration with internal and external data sources, and providing analytics. The document argues that RIMs benefit institutions by centralizing research information for assessment, funding applications, and increasing visibility. Libraries are well-positioned to advise on RIMs and play a lead role in planning due to expertise in data management, bibliographic standards, and understanding researcher needs.
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The document discusses research information management systems (RIMs) and the role of libraries in supporting them. It describes RIMs as systems that collate fragmented institutional research data to reduce administrative burdens. Key functions of RIMs include automated data capture, integration with internal and external data sources, and providing analytics. The document argues that RIMs benefit institutions by centralizing research information for assessment, funding applications, and increasing visibility. Libraries are well-positioned to advise on RIMs and play a lead role in planning institutional research data collection and management.
Researchpe-5.pptx
There are four main types of research data based on collection methods:
1) Observational data collected through observation
2) Experimental data collected through intervention to measure change
3) Simulation data generated by imitating real-world processes using models
4) Derived data created by transforming existing data points
Data collection involves gathering information systematically to answer research questions. It is required for academic research, ongoing projects, and developing new products/services. Data can be qualitative, quantitative, or mixed. It can also be primary data collected directly or secondary data obtained from other sources. The type of data determines the appropriate collection method to use.
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Management information systems ppt
- 2. is a system that gathers data and disseminates information with the sole purpose of providing information to its users. The main object of an information system is to provide information to its users. Information systems vary according to the type of users who use the system.
- 3. is an information system that evaluates, analyzes, and processes an organization's data to produce meaningful and useful information based on which the management can take right decisions to ensure future growth of the organization.
- 4. Data can be described as unprocessed facts and figures. Plain collected data as raw facts cannot help in decision-making. However, data is the raw material that is organized, structured, and interpreted to create useful information systems.
- 5. Information is interpreted data; created from organized, structured, and processed data in a particular context.
- 6. Information is a data that has been processed into a form that is meaningful to recipient and is of real or perceived value in the current or the prospective action or decision of recipient."
- 8. Surveys: A questionnaire is prepared to collect the data from the field. Secondary data sources or archival data: Data is collected through old records, magazines, company website, etc.
- 9. Objective measures or tests: An experimental test is conducted on the subject and the data is collected. Interviews: Data is collected by the system analyst by following a rigid procedure and collecting the answers to a set of pre-conceived questions through personal interviews.