Features of information systems: data; people; hardware; software; telecommunications
Functions of information systems: input; storage; processing; output; control and feedback loops; closed
and open systems
Transformation of data into information: distinction between data and information; collection, storage,
processing, manipulation, retrieval, presentation
Types of information system: management information systems; others eg marketing (sales performance,
competitors etc), financial (financial costs, investment returns etc), human resources (HR) (staffing,
professional development etc)
Management information systems (MIS): features; benefits; effectiveness criteria eg accuracy, sustainability,
response times, confidence
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
This presentation is on the topic - Transaction Processing System. It is a topic in Information Technology for Managers. It includes the concept, characteristics, functions, advantages and disadvantages, types and application of TPS
MIS 02 foundations of information systemsTushar B Kute
The series of presentations contains the information about "Management Information System" subject of SEIT for University of Pune.
Subject Teacher: Tushar B Kute (Sandip Institute of Technology and Research Centre, Nashik)
http://www.tusharkute.com
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
This presentation is on the topic - Transaction Processing System. It is a topic in Information Technology for Managers. It includes the concept, characteristics, functions, advantages and disadvantages, types and application of TPS
MIS 02 foundations of information systemsTushar B Kute
The series of presentations contains the information about "Management Information System" subject of SEIT for University of Pune.
Subject Teacher: Tushar B Kute (Sandip Institute of Technology and Research Centre, Nashik)
http://www.tusharkute.com
What is knowledge management System?
History of knowledge management system.
Knowledge Management Life-cycle.
Scope of knowledge management.
The Different Types of Knowledge.
Knowledge Management Framework.
Benefits of a Knowledge management System within an Organization.
Technologies for Knowledge Management.
Knowledge Management Value chain.
Knowledge Networking System.
MIS
IT enables in the quick access of information and it also accelerates productivity. IT ensures that additional staff may not be necessary when the business grows.
For more such innovative content on management studies, join WeSchool PGDM-DLP Program: http://bit.ly/welingkarshybridDlp
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.
What is knowledge management System?
History of knowledge management system.
Knowledge Management Life-cycle.
Scope of knowledge management.
The Different Types of Knowledge.
Knowledge Management Framework.
Benefits of a Knowledge management System within an Organization.
Technologies for Knowledge Management.
Knowledge Management Value chain.
Knowledge Networking System.
MIS
IT enables in the quick access of information and it also accelerates productivity. IT ensures that additional staff may not be necessary when the business grows.
For more such innovative content on management studies, join WeSchool PGDM-DLP Program: http://bit.ly/welingkarshybridDlp
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.
Introduction to Information Technology (IT), Introduction to Information System (IS), Difference between IS & IT, Need for Information System, Information systems in the enterprise, Impact of information technology on business (Business Data Processing, Intra and Inter organizational communication using network technology, Business process and Knowledge process outsourcing), Managers and activities in IS, Importance of IS in decision making and strategy building, Information systems and subsystems.
Management Information System
Information System
Information Systems Framework
Information Systems Concepts
system
Data Versus Information
Attributes
Transaction Processing Activities
Process Control Systems
A slide presented in an event organized by Sagarmatha college of engineering which was targeted to the student who wants to pursue a career in Information Technology.
Understand issues related to use of information systemRajesh Khadka
Legal issues: relevant data protection legislation eg Data Protection Act 1998, Freedom of Information Act
2000; other relevant legislation eg Computer Misuse Act 1990
Ethical issues: codes of practice eg on use of email, internet; ‘whistleblowing’; organisational policies;
information ownership
Operational issues: security of information; backups; health and safety; organisational policies; business
continuance plans; costs eg additional resources required, cost of development; impact of increasing
sophistication of systems eg more trained personnel, more complex software
Understand how organizations use business informationRajesh Khadka
Types of information: qualitative, quantitative; primary; secondary
Purposes of information: operational support eg monitoring and controlling activity; analysis eg to identify
patterns or trends; decision making (operational, tactical, strategic); gaining commercial advantage
Sources of information: internal eg financial, personnel, marketing, purchasing, sales, manufacturing,
administration; external eg government, trade groupings, commercially provided, databases, research;
reliability of data sources
Good information: characteristics eg valid, reliable, timely, fit-for-purpose, accessible, cost-effective,
sufficiently accurate, relevant, having the right level of detail, from a source in which the user has
confidence, understandable by the user
Business functional areas: eg sales, purchasing, manufacturing, marketing, finance, personnel,
administration
Information flows: internal information flows; information flows to external bodies; information flow
diagrams
Be able to use it tools to produce management systemRajesh Khadka
Tools: software eg databases, artificial intelligence and expert systems, predictive modelling; internet;
others eg data mining systems
Gather information: define the requirement; establish sources of information; define other factors to be
considered eg constraints; select information
Analyse information: quality eg validity, accuracy, currency, relevance; identify alternatives
Management information: reports eg sales report, college enrolment statistics, marketing analysis (brick
versus click)
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. Objectives
● Understand how organisations use business information
● Understand the issues related to the use of information
● Know the features and functions of information systems
● Be able to use IT tools to produce management
information
3. Introduction
“Information systems are combinations of hardware, software, and telecommunications networks that people
build and use to collect, create, and distribute useful data, typically in organizational settings.”
“Information systems are combinations of hardware, software, and telecommunications networks that people
build and use to collect, create, and distribute useful data, typically in organizational settings.”
“Information systems are interrelated components working together to collect, process, store, and disseminate
information to support decision making, coordination, control, analysis, and visualization in an organization”
4.
5.
6. Personal Finance MIS
- Received Salary ?
- Monthly expenses ?
- Interest rate on fixed deposits ?
- How can you electricity bills ?
- Get movie ticket ?
- Transfer money ?
7. Organisational MIS
- How many employees ?
- Which products have sold poorly this quarter ?
- What are our profit margins on our products ?
- What is the lowest price at which we can sell a product ?
- What are our operating expenses for this branch ?
8. Information Systems
- Patient Management Systems
- Airline reservation and ticketing systems
- Store payment and checkout systems
- Factory inventory management systems
- Financial Planning System
- Human resource systems
- Bill payment systems
- College student information systems
11. Hardware
- Part of information system which can be touch
- Physical components of the technology
- Computers, IO devices, Mobile phones, Storage device
- Hardware used depends on size of organisation(cloud, local)
12. Software
- Set of instructions that tells the hardware what to do
- Types of software
- Operating system : Operates hardware eg Android, Linux, Mac , Windows
- Application Software: Performs useful works - Camera App, Microsoft excel etc
- May vary according to organization structure
13. Data
- Text on word processor
- Video or MP3 on media player
- Demographic information (name, address, phone, age etc)
- Role of informations system is to transform data into information to
support decision making inside organization
14. Data Types
- Qualitative : Descriptive data eg Color of car
- Quantitative : numeric value, result of measurement, count
15. Data, Information and knowledge
- Raw data is not useful
- Data with context is information
- “32, 35, 49, 60” is raw data
- “32, 35, 49, 60” is number of student in computer, electrical, electronics
and civil departments of 2017 batch : information
- Number of students in Civil has increased by 40%
- Increase number of seats in Civil department
16. Database
- Tools for data aggregation and analysis
- Relational and Non-Relational database
- Mysql, No-Sql
- Big data
- Data
17. Data Mining
● Data mining is the process of analyzing data to find previously unknown
trends, patterns, and associations in order to make decisions
● Eg. Amazon product suggestion i-e people also buy this
● Eg. Predicting customer pregnancy and promote diapers, cotton wool and
so on.
● Eg. Finding pattern whether user likely to discontinue service providers if
so provide discounts and incentives to attract customers.
18. Network Communication
- Information system can operate without internet
- Has become essentials
- Can share information to external system
- Made up of hardware and software
- Should be secure (VPN, Firewall, Dedicated Network)
- Cloud computing
19. People
- Persons involved on information systems
- Front-line help-desk workers
- Systems analysts
- Software Engineers
- Executive Members
- Managers
- Operators
20. Process
- Series of steps undertaken to achieve a desired outcome or goal.
- Information systems are being widely used in organizational processes
- Process should be documented
- it is essential to do this, because it allows them to ensure control over how
activities are undertaken in their organization
- McDonald’s has the same process for building a Big Mac in all of its
restaurants.
- Simple process can be documented on simple list
21. Process
- Person Process for particular day
1. Reading news paper
2. Go to gyms
3. Preparing foods
4. Reading emails etc
22. Process
- User creation process on ebay
a. Go to ebay.com.
b. Click on “register.”
c. Enter your contact information in the “Tell us about you” box.
d. Choose your user ID and password.
e. Agree to User Agreement and Privacy Policy by clicking on “Submit.”
23. Process
- Process while article adding on wikipedia
a. Search Wikipedia to determine if the term already exists.
b. If the term is found, then an article is already written, so you must think of another term.
Go to 1.
c. If the term is not found, then look to see if there is a related term.
d. If there is a related term, then create a redirect.
e. If there is not a related term, then create a new article
- Process is more complex cannot represent on list
25. Managing Business Process Document
- Document management systems is required to manage business process
document.
- Document management systems should store and tracks documents.
- Document management systems should have following functions
- Versions and timestamps
- Approvals and Workflow
- Communications
32. Input
● Input refers to entering the data into the system.
● Data can be entered by a variety of methods, for example:
○ a keyboard to manually type in the data
○ a mouse to select from a list of options
○ scanning a barcode
33. Input
1. Number of students present in class
2. Number of steps of walked user in android phone or data read by speedometer
3. Number of shoes produced today
4. User current location in android app
5. Number of photo taken per day
6. data collected by a temperature sensor being automatically input into a central heating system
7. Student grades from a piece of homework being entered into a teacher's electronic markbook
8. Lottery ticket numbers being 'fed' into an OMR which then enters them into the National Lottery
system
34. Processing
- Processing is the stage where the input data is manipulated in order to produce meaningful
information.
- Processing may involve some sort of sorting, searching, calculations, graphing
- Examples
- Searching sales data to find which products in a supermarket have sold most
- Sorting list of products by alphabetical order
- Finding employee from particular location
- Calculating the amount of expenses per month of a company
- Extracting product details and price, after scanning barcode in a supermarket
- Complex mathematical model for stock control system
35. Output
- Output is the stage where the information obtained via processing is presented to user in a
suitable format.
- Graphical Output : Information that is presented as charts, diagrams, graphs or pictures.
Graphical output is often best for seeing the big picture, understanding trends and presenting
the information to management.
- Textual Output – Information that is presented as characters, numbers or text. Textual output is
best where it is important to analyze the detail and know exact values.
36. Output
- a weather forecast shown as an user-friendly
graphic rather than a basic table.
37. Output
● a printout of student examination results displayed in order from highest to
lowest
● a digital display at the petrol pump showing how much fuel has been
delivered and the cost of that fuel
● an alarm from a fire alarm system which has detected smoke in the room
38. Storage
- Information often needs to be stored on the system for use at a later date.
- Storage should be more precise and effective so that we can infer
information in later use case
- Should maintain regular backup
- Should be fault tolerance
39. Control & Feedback
- Feedback is where the output from the system is feedback into the system
in order to influence the input.
- A control or feedback loop is what happens in the organisation as a result
of the output from an information system.
- It should have some effect, direct or not, on future inputs to the
information system.
40. Control & Feedback
- When you try to withdraw too large amount atm shows the information to
withdraw less amount
- When employee attendance is irregular then system will advised to
schedule a meeting to know the reason in company
- An example would be information of sales. Management could then
change the price to maximise profits and review the data feed.
41. Example - School Registration System
- Input - Attendance of Student
- Processing - data will be processed and will insert record in attendence
record for each pupil
- Storage - Data is stored for later use
- Output - Printed list of absent students
- Feedback - Principal will call parents to know reason of absence and
update it to the system.
42. Closed System
- Closed system doesn’t allow for free flow or transfer of data between the
organization and other companies and at times between departments
within the organization
- Systems that doesn’t interact with other systems
- Re-search and Development department in organization doesn’t interact
with other systems such as human resource information system.
- R&D is an endeavor to protect the organization’s secrets and prevent
leakage of the company’s information.
43. Open System
- System that allows for free exchange and flow of the information and data
between departments and the external environment. For
- For instance, the marketing and Human Resources departments require
external information and therefore must allow for free and flexible flow of
data to achieve their departmental goals.
44. Assignment
- Demonstrate input, processing, storage, output and
feedback of any 2 information system that you have
used?
- Provide the any 2 example of open and closed
information system?
46. Data vs Information
- Data is a collection of raw facts that have not yet been processed Eg:
times, weights, measurements, sales, mp3, video, apps
- Information : data that has been manipulated so that some meaning can
be derived from it. Eg TV listing, bus timetable, billboard top charts, top 10,
most downloaded apps
47. Data examples
- Yes, Yes, No, Yes, No,Yes
- 42, 63, 45, 98,76 etc
- 111192, 111234
- None of the above data sets have any meaning until they are given a
CONTEXT and PROCESSED into a useable form
48. Data into information
- To turn data into information it must be processed
- Data needs to be presented in its most useful format
- Data must be processed in a context in order to give it meaning
49. Examples
- In the next three examples will explain how the data could be processed to
provide meaning
- What information will be derived from the data
50.
51.
52.
53. Answers
- Example 1 : We could add up the yes and no responses and calculate the percentage of
customers who would buy product X at price Y. The information could be presented as a chart
to make it easier to understand.
- Example 2 : Adding Jayne’s scores would give us a mark out of 600 that could then be
converted to an A level grade. Alternatively we could convert the individual module results into
grades.
- Example 3 : By subtracting the second value from the first we can work out how many units
of gas the consumer has used. This can then be multiplied by the price per unit to determine the
customer’s gas bill