Transaction processing systems (TPS) support routine operations and management while management information systems (MIS) provide decision-making support using data from TPS. MIS can address structured problems through optimization, satisficing, or heuristics models. They provide managers with regular reports from various functional areas like finance, manufacturing, marketing, logistics, and human resources to control and plan operations. Decision support systems (DSS) are used for unstructured problems through flexible presentation of internal and external data with simulation and statistical analysis to support multiple decision approaches.
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.
Management Information System - MIS - ApplicationFaHaD .H. NooR
Management information system (MIS) refers to the processing of information through computers to manage and support managerial decisions within an organization. The concept may include systems termed transaction processing system, decision support system, expert system, or executive information system. The term is often used in the academic study of businesses and has connections with other areas, such as information systems, information technology, informatics, e-commerce and computer science; as a result, the term is used interchangeably with some of these areas.
Management information systems (plural) as an academic discipline studies people, technology, organizations, and the relationships among them.This definition relates specifically to "MIS" as a course of study in business schools. Many business schools (or colleges of business administration within universities) have an MIS department, alongside departments of accounting, finance, management, marketing, and may award degrees (at the undergraduate, master, and doctoral levels) in Management Information Systems.
MIS professionals help organizations to maximize the benefit from investments in personnel, equipment, and business processes.There are different areas of concentration with different duties and responsibilities in information system managers starting from the Chief information officer (CIOs), Chief technology officer (CTOs), IT directors and IT security managers. Chief information officers (CIOs) are responsible for the overall technology strategy of their organizations. Basically, they are more of the decision makers and action takers when it comes down to determining the technology or information goals of an organization and making sure the necessary planning to implement those goals is being met.
Chief technology officers (CTOs) are responsible for evaluating how new technology can help their organization. They usually recommend technological solutions to support the policies issued by the CIO.[2]
IT directors including MIS directors are in charge of both their organization's Information technology departments and the supervision of thereof. They are also in charge of implementing the policies chosen by the other top branches (CIOs, CTOs). It is their role to ensure the availability of data and network services by coordinating IT activities.
IT Security Managers oversee the network and security data as the title implies. They develop programs to offer information and awareness to their employees about security threats. This team is very important because they must keep up-to-date on IT security measures in order to be successful within their organization. Any security violations need to be investigated and supervised by this specific team.
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.
Management Information System - MIS - ApplicationFaHaD .H. NooR
Management information system (MIS) refers to the processing of information through computers to manage and support managerial decisions within an organization. The concept may include systems termed transaction processing system, decision support system, expert system, or executive information system. The term is often used in the academic study of businesses and has connections with other areas, such as information systems, information technology, informatics, e-commerce and computer science; as a result, the term is used interchangeably with some of these areas.
Management information systems (plural) as an academic discipline studies people, technology, organizations, and the relationships among them.This definition relates specifically to "MIS" as a course of study in business schools. Many business schools (or colleges of business administration within universities) have an MIS department, alongside departments of accounting, finance, management, marketing, and may award degrees (at the undergraduate, master, and doctoral levels) in Management Information Systems.
MIS professionals help organizations to maximize the benefit from investments in personnel, equipment, and business processes.There are different areas of concentration with different duties and responsibilities in information system managers starting from the Chief information officer (CIOs), Chief technology officer (CTOs), IT directors and IT security managers. Chief information officers (CIOs) are responsible for the overall technology strategy of their organizations. Basically, they are more of the decision makers and action takers when it comes down to determining the technology or information goals of an organization and making sure the necessary planning to implement those goals is being met.
Chief technology officers (CTOs) are responsible for evaluating how new technology can help their organization. They usually recommend technological solutions to support the policies issued by the CIO.[2]
IT directors including MIS directors are in charge of both their organization's Information technology departments and the supervision of thereof. They are also in charge of implementing the policies chosen by the other top branches (CIOs, CTOs). It is their role to ensure the availability of data and network services by coordinating IT activities.
IT Security Managers oversee the network and security data as the title implies. They develop programs to offer information and awareness to their employees about security threats. This team is very important because they must keep up-to-date on IT security measures in order to be successful within their organization. Any security violations need to be investigated and supervised by this specific team.
This presentation is detailed PPT on Management Information System. Infact it is a combination of various presentations that are downloaded from the internet.
The presentation is self explanatory and is very helpful for Management and Commerce students
Decision Support System - Management Information SystemNijaz N
Refers to class of system which supports in the process of decision making and does not always give a decision itself.
Decision Support Systems supply computerized support for the decision making process.
Data analytics presentation- Management career institute PoojaPatidar11
1. The basic definition of Data, Analytics, and Data Analytics
2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc
Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
Prescriptive Analytics (What should we do)
Descriptive Analytics (What has happened?)
4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities
10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
11. Data analytics tools
1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets.
2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
and has a powerful library for data manipulation and analysis.
4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
Management Information System (MIS) is a planned system of collecting, storing, and disseminating data in the form of information needed to carry out the functions of management. A Management Information System 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.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
An MIS provides managers with information and support for effective decision making, and provides feedback on daily operations
Output, or reports, are usually generated through accumulation of transaction processing data
Each MIS is an integrated collection of subsystems, which are typically organized along functional lines within an organization
This presentation is detailed PPT on Management Information System. Infact it is a combination of various presentations that are downloaded from the internet.
The presentation is self explanatory and is very helpful for Management and Commerce students
Decision Support System - Management Information SystemNijaz N
Refers to class of system which supports in the process of decision making and does not always give a decision itself.
Decision Support Systems supply computerized support for the decision making process.
Data analytics presentation- Management career institute PoojaPatidar11
1. The basic definition of Data, Analytics, and Data Analytics
2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc
Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
Prescriptive Analytics (What should we do)
Descriptive Analytics (What has happened?)
4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities
10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
11. Data analytics tools
1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets.
2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
and has a powerful library for data manipulation and analysis.
4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
Management Information System (MIS) is a planned system of collecting, storing, and disseminating data in the form of information needed to carry out the functions of management. A Management Information System 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.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
An MIS provides managers with information and support for effective decision making, and provides feedback on daily operations
Output, or reports, are usually generated through accumulation of transaction processing data
Each MIS is an integrated collection of subsystems, which are typically organized along functional lines within an organization
Management information system by ravi kumudeshRavi Kumudesh
Information Systems Careers
Systems analyst, specialist in enterprise resource planning (ERP), database administrator, telecommunications specialist, consulting, etc.
Knowledge Workers
Managers and non-managers
Employers seek computer-literate professionals who know how to use information technology.
Computer Literacy Replacing Traditional Literacy
Key to full participation in western society
1. What are the differences between a DBMS and RDBMS?
2. Explain the terms database and DBMS. Also, mention the different types of DBMS.
3. What are the advantages of DBMS?
4. Mention the different languages present in DBMS
5. What do you understand by query optimization?
6. Do we consider NULL values the same as that of blank space or zero?
7. What do you understand by aggregation and atomicity?
8. What are the different levels of abstraction in the DBMS?
9. What is an entity-relationship model?
10. What do you understand by the terms Entity, Entity Type, and Entity Set in DBMS?
11. What are relationships and mention different types of relationships in the DBMS
12. What is concurrency control?
13. What are the ACID properties in DBMS?
14. What is normalization and what are the different types of normalization?
15. What are the different types of keys in the database?
16. What do you understand by correlated subqueries in DBMS?
17. Explain Database partitioning and its importance.
18. What do you understand by functional dependency and transitive dependency in DBMS?
19. What is the difference between two and three-tier architectures?
20. Mention the differences between Unique Key and Primary Key
21. What is a checkpoint in DBMS and when does it occur?
22. Mention the differences between Trigger and Stored Procedures
23. What are the differences between Hash join, Merge join and Nested loops?
24. What do you understand by Proactive, Retroactive and Simultaneous Update?
25. What are indexes? Mention the differences between the clustered and non-clustered index
26. What do you understand by intension and extension?
27. What do you understand by cursor? Mention the different types of cursor A cursor is a database object which helps in manipulating data, row by row and represents a result set.
28. Explain the terms specialization and generalization
29. What do you understand by Data Independence?
30. What are the different integrity rules present in the DBMS?
31. What does Fill Factor concept mean with respect to indexes?
32. What is Index hunting and how does it help in improving query performance?
33. What are the differences between network and hierarchical database model?
34. Explain what is a deadlock and mention how it can be resolved?
35. What are the differences between an exclusive lock and a shared lock?
=>Concept of Governance
=>Risk and Control (GRC) as applicable to IT operational risk
=>Importance of documentation
=>DATA FLOW DIAGRAM for every application
=>Review of changes in the Data flow, reporting, etc.
=>Parameters for review
=>Importance of review on SLA compliance
=>Reporting to IT Strategy committee, Board etc.
Importance of Data - Where to find it, how to store, manipulate, and characterize it
Artificial Intelligence (AI)- Introduction to AI & ML Technologies/ Applications
Machine Learning (ML), Basic Machine Learning algorithms.
Applications of AI & ML in Marketing, Sales, Finance, Operations, Supply Chain
& Human Resources Data Governance
Legal and Ethical Issues
Robotic Process Automation (RPA)
Internet of Things (IoT)
Cloud Computing
What is Data ?
What is Information?
Data Models, Schema and Instances
Components of Database System
What is DBMS ?
Database Languages
Applications of DBMS
Introduction to Databases
Fundamentals of Data Modeling and Database Design
Database Normalization
Types of keys in database management system
Distributed Database
CASE (COMPUTER AIDED SOFTWARE ENGINEERING)
CASE and its Scope
CASE support in software life cycle documentation
project management
Internal Interface
Reverse Software Engineering
Architecture of CASE environment.
SOFTWARE RELIABILITY AND QUALITY ASSURANCE
Reliability issues
Reliability metrics
Reliability growth modeling
Software quality
ISO 9000 certification for software industry
SEI capability maturity model
comparison between ISO and SEI CMM
Software Testing
Different Types of Software Testing
Verification
Validation
Unit Testing
Beta Testing
Alpha Testing
Black Box Testing
White Box testing
Error
Bug
Software Design
Design principles
Problem partitioning
Abstraction
Top down and bottom up-design
Structured approach
Functional versus object oriented approach
Design specifications and verification
Monitoring and control
Cohesiveness
Coupling
Fourth generation techniques
Functional independence
Software Architecture
Transaction and Transform Mapping
SDLC
PDLC
Software Development Life Cycle
Program Development Life Cycle
Iterative model
Advantages of Iterative model
Disadvantages of Iterative model
When to use iterative model
Spiral Model
Advantages of Spiral model
Disadvantages of Spiral model
When to use Spiral model
Role of Management in Software Development
Software Lifecycle Models / Software Development Models
Types of Software development models
Waterfall Model
Features of Waterfall Model
Phase of Waterfall Model
Prototype Model
Advantages of Prototype Model
Disadvantages of Prototype model
V Model
Advantages of V-model
Disadvantages of V-model
When to use the V-model
Incremental Model
ITERATIVE AND INCREMENTAL DEVELOPMENT
INCREMENTAL MODEL LIFE CYCLE
When to use the Incremental model
Rapid Application Development RAD Model
phases in the rapid application development (RAD) model
Advantages of the RAD model
Disadvantages of RAD model
When to use RAD model
Agile Model
Advantages of Agile model
Disadvantages of Agile model
When to use Agile model
Introduction to software engineering
Software products
Why Software is Important?
Software costs
Features of Software?
Software Applications
Software—New Categories
Software Engineering
Importance of Software Engineering
Essential attributes / Characteristics of good software
Software Components
Software Process
Five Activities of a Generic Process framework
Relative Costs of Fixing Software Faults
Software Qualities
Software crisis
Software Development Stages/SDLC
What is Software Verification
Advantages of Software Verification
Advantages of Validation
Cloud Computing
Categories of Cloud Computing
SaaS
PaaS
IaaS
Threads of Cloud Computing
Insurance Challenges
Cloud Solutions
Security of the Insurance Industry
Cloud Solutions
Insurance Security in the Insurance Industry with respect to Indian market
Application Software
Applications Software
Software Types
Task-Oriented Productivity Software
Business Software
Application Software and Ethics
Computers and People
Software:
Systems and Application Software
Identify and briefly describe the functions of the two basic kinds of software
Outline the role of the operating system and identify the features of several popular operating systems
Discuss how application software can support personal, workgroup, and enterprise business objectives
Identify three basic approaches to developing application software and discuss the pros and cons of each
Outline the overall evolution and importance of programming languages and clearly differentiate among the generations of programming languages
Identify several key software issues and trends that have an impact on organizations and individuals
Programming Languages
A formal language for describing computation?
A “user interface” to a computer?
Syntax + semantics?
Compiler, or interpreter, or translator?
A tool to support a programming paradigm?
Number Codes and Registers
2’s complement numbers
Addition and subtraction
Binary coded decimal
Gray codes for binary numbers
ASCII characters
Moving towards hardware
Storing data
Processing data
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2. 2
Management Information Systems
Transaction Processing
Systems (TPS)
– Support operation
– Management and
control
– Routine, normal
operations
Management Information
Systems (MIS)
– Provide decision-
making support for
routine, structured
decisions
– Closely linked to and
fed by TPS
3. 3
Management Information Systems
• Terminology Confusion
–MIS = the study of information
technology in business settings
–But, MIS is also term to refer to class
of systems used to support operational
and tactical decisionmaking
4. 4
A Model for Problem Solving
• Decision Making Phase
–Intelligence gathering
–Design
–Choice
• Implementation
• Monitoring
5. 5
Decision Making
• A step in problem solving
• Intelligence gathering
– Definition of problem
– Data gathered on scope
– Constraints identified
• Design phase
– Alternatives identified and assessed
• Choice
– Selection of an alternative
6. 6
Structured vs. Unstructured
Problems
• Structured problems lend themselves to
programmed decisions
–The implication is that a repeatable
process can be employed and these
can be automated
• Unstructured problems require
unprogrammed decisions
8. 8
Structured Problems
• Can be addressed by an MIS
• Three decision models or techniques
–Optimization
• Find the best solution
–Satisficing
• Find a solution which meets certain criteria
–Heuristics
• Rule-based solution generation
9. 9
Goals of an MIS
• Provide managers with information
• Regular, routine operations
• Control, organize and plan better
10. 10
Typical Inputs and Outputs
• Inputs: Information from the TPS
• Outputs: hard and softcopy reports
–Scheduled reports
–On-demand reports
–Key-indicator (business fundamentals)
–Exception reports
11. 11
Functional Perspectives of MIS
• Financial MIS
–Will integrate information from multiple
sources
–Functions
• Costing
• P&L reporting
• Auditing
• Funds management
12. 12
Functional Perspectives of MIS
• Manufacturing
–Design and Engineering
–Master Production Scheduling
–Inventory Control
–Materials Planning
–Manufacturing and Process Control
–Quality Control
14. 14
Functional Perspectives of MIS
• Transportation and Logistics
–Route and schedule optimization
• Human Resources
• Accounting
15. 15
Decision Support Systems
• Used for unstructured problems
• Characteristics
– Data from multiple sources internal and
external to organization
– Presentation flexibility
– Simulation and what-if capability
– Support for multiple decision approaches
– Statistical analysis
16. 16
Components of a DSS
• Model management software
–Provides a variety of solution models
• Financial, statistical, graphical, project
management
• Dialogue Manager
–Allows user interaction with DSS
18. 18
Group Decision Making
Systems
• Applications
– Where time is critical
– Where participants are geographically
dispersed
– Where authority obstructs communication
– Military
– Business
– Government
19. 19
Group Decision Making
Systems
• Common characteristics
– Meeting moderation/facilitation
– Signed and anonymous comments
– Structured deliberations
• Presentation period
• Comment period
• Automated collation of comments
• “Voting”
• Face-to-face and remote
21. 21
Executive Information Systems
• High level with drill down
• Key business and industry data
• Structured and unstructured information
–Structured: MTD orders
–Unstructured: Industry newsfeed
• Graphical