The document discusses data, information, and systems. It defines data as facts without context, while information is data that has been analyzed and given meaning and context. An information system takes raw data as input, processes it, and produces information as output. The document also describes the four stages of data processing as input, processing, output, and feedback. Finally, it discusses different types of information systems from operational to strategic levels.
Contains everything a student needs to know about fundamentals of Management Information System. It is not an original work rather a useful presentation created by combining few other presentations.
Contains everything a student needs to know about fundamentals of Management Information System. It is not an original work rather a useful presentation created by combining few other presentations.
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
Types, Importance, impact of Information systems
Data
Data vs Information
MIS
Importance of MIS
Impact of MIS
Need of MIS
Outputs of MIS
Business objectives of Information systems
Data Analytics PowerPoint Presentation SlidesSlideTeam
This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with twenty slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Data Analytics PowerPoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
This is the 3- Tier architecture of Data Warehouse. This is the topic under Data Mining subject. Data mining is extracting knowledge from large amount of data.
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
Types, Importance, impact of Information systems
Data
Data vs Information
MIS
Importance of MIS
Impact of MIS
Need of MIS
Outputs of MIS
Business objectives of Information systems
Data Analytics PowerPoint Presentation SlidesSlideTeam
This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with twenty slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Data Analytics PowerPoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
This is the 3- Tier architecture of Data Warehouse. This is the topic under Data Mining subject. Data mining is extracting knowledge from large amount of data.
Information system, Component of Information system, by Ravi Poswalgujjar_ravi
information system, how many type of information system, difference between business function and business process. component of information System, by Ravi Poswal
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
2. Data, Information and Systems
Data
A given fact , a number, a statement, or a picture
Represents something in the real world
Data are sets of discrete objective facts, presented
without judgment or context
The raw materials in the production of information
3. Data, Information and Systems
Information
Data that have meaning within a context
Data in relationships
Data after manipulation
Data become information when they are categorized,
analyzed, summarized and placed in context,
becoming intelligible to the recipient.
4. Data, Information and Systems
Data Manipulation
Example: Customer Survey
Reading through data collected from a customer
survey with questions in various categories would be
time-consuming and not very helpful.
When manipulated, the surveys may provide useful
information
5. Data, Information and Systems
Generating Information
Computer-based Information System take data as raw
material, process it, and produce information as output.
6. Data, Information and Systems
Information is Critical
The information we have is not what we want,
The information we want is not the
information we need
The information we need is not available.
7. Data, Information and Systems
Why need Information?
To ensure effective and efficient decision –
making leading to prosperity of the
Organization.
8. Data, Information and Systems
The Four Stages of Data Processing
Input: Data is collected and entered into computer.
Data processing: Data is manipulated into information
using mathematical, statistical, and other tools.
Output: Information is displayed or presented.
Feedback: Output that is used to make changes to input
or processing activities
9. Data, Information and Systems
University
Inputs: Students, Faculty, Textbooks
Processes: Education/Courses
Output: graduates
Feedback: surveys, grades
10. Data, Information and Systems
Toyota Plant
Inputs: raw materials, components
Processes: assembly line
Output: mini-vans
Feedback: customer surveys, quality reports
11. Data, Information and Systems
What is a system?
A set of components that interact to accomplish goals
What is an IS?
A set of interrelated components that collect input,
process, and output data and information and provide
a feedback/control mechanism
What is a MIS?
An IS that uses IT. Components: hardware, software,
databases, networks, people, procedures
12. Historic Development AI
Artificial Intelligence
KS/ES
Knowledge / Expert System
ESS
Executive Support System
DSS
Decision Support System
MIS
Management Information System
OAS
Office Automation System
TPS
Transaction Processing System
13. Management Information System
The three sub-components – MIS
- together bring out the focus clearly & effectively.
System emphasizing a fair degree of Integration and a
holistic view
Information stressing on processed data in the context in
which it is used by the end user
Management focusing on the ultimate use of such
information systems for managerial decision making
14. Management Information System
Support of
Strategic Advantage
Support of
Managerial
Decision Making
Support of
Business Operations
17. Transaction Processing System Eg.
Operational Level System
Sales & Marketing
Order Tracking & Order Processing
Manufacturing
Plant Scheduling & Material Movement Control
Finance
Securities Trading & Cash Management
Accounting
Payroll, Accounts Payable, Accounts Receivable
Human Resource
Compensation Training & Development & employee record
keeping
18. Knowledge Level System
Information System that support knowledge
and data workers in an organization
20. Management Information System
Management Level System
Information System which support the
monitoring controlling decision making and
administrative activities of middle
management.
21. Management Information System Eg.
Sales & Marketing
Sales Management & Sales Region Analysis
Manufacturing
Inventory Control & Production Scheduling
Finance
Annual Budgeting & Cost Analysis
Accounting
Capital Investment Analysis & Profitability/Pricing
Analysis
22. Strategic Level System
Information System that supports the long
range planning activities of senior managers
23. Strategic Level System Eg.
Executive Support System
Sales & Marketing
5 Year Sales trend forecast
Manufacturing
5 Year operational plan
Finance
5 Year budgeting forecast
Accounting
Profit Planning