Webinar on

MIS for Todays Business

July 27, 2021

Business Webinar

Theme: Importance of Management Information System for Business

The Webinar on MIS for today's business will be hosted on July 27, 2021 at 03:30 PM (GMT+2) in Paris, France. Management information systems (MIS) is a changing and challenging field. Modern businesses can’t survive for long without using some sort of MIS to manage massive amounts of data, and there are plenty of opportunities to study or work in the discipline. In business, management information systems (or information management systems) are tools used to support processes, operations, intelligence, and IT. MIS tools move data and manage information. They are the core of the information management discipline and are often considered the first systems of the information age. The MIS represents the electronic automation of several different kinds of counting, tallying, record-keeping, and accounting techniques of which the by far oldest, of course, was the ledger on which the business owner kept track of his or her business. 

Session-1: Information System
This is a combination of software, hardware, personnel and infrastructure. This component helps in the collection of data that is stored in the MIS. The hardware includes computers, scanners, printers and network devices. The software elements include the company’s enterprise software and any other software that is used in the running of the company’s network. This component makes it possible for employees to interact with the system and thus information can be collected.
Session-2: Database Management System
This component is primarily made up of computer programs that help in the storage and retrieval of data. Of course, it also includes the actual physical databases where the information is stored after it has been captured. There are several different database management systems that can be used in Management Information Systems. The suitability of the systems will depend on the amount of data that will need to be processed and stored in the system. There are small database management systems that can comfortably work on personal computers and there are huge ones that will need larger and more complex machines like mainframe computers. Learn more about database technologies.
Session-3: Research System
This component is concerned with identifying the main management problems in the organization and coming up with alternative decisions that could have sufficed in a particular situation. This helps ensure that all the possible options are analyzed and the best decision made. The best decision is not always the most obvious one. This component of Management Information systems ensures that the best decision is reached even in those instances.
Session-4: Information Security & Law
Information security is that the practice of protecting information by mitigating information risks. It is part of information risk management. It typically involves preventing or reducing the probability of unauthorized/inappropriate access to data, or the unlawful use, disclosure, disruption, deletion, corruption, modification, inspection, recording, or devaluation of data. It also involves actions intended to scale back the adverse impacts of such incidents. Protected information may take any form, e.g. electronic or physical, tangible (e.g. paperwork) or intangible (e.g. knowledge). Information security's primary focus is that the balanced protection of the confidentiality, integrity, and availability of knowledge (also referred to as the CIA triad) while maintaining attention on efficient policy implementation, all without hampering organization productivity. It includes IT Law, Digital Forensics, Information Security, Forensic computing, Digital signature, Data Security, Personal data protection, Cyber security.
Session-5: Artificial Intelligence and Machine Learning
Artificial intelligence and machine learning are the neighbourhood of computing that are correlated with each other. These two technologies are the foremost trending technologies which are used for creating intelligent systems.
Although these are two related technologies and sometimes people use them as a synonym for every other, but still both are the 2 different terms in various cases.
Artificial intelligence may be a technology which enables a machine to simulate human behavior. The Artificial intelligence system doesn't require to be pre-programmed, rather than that, they use such algorithms which may work with their own intelligence. It involves machine learning algorithms like Reinforcement learning algorithm and deep learning neural networks. AI is being used in multiple places such as Siri, Google, AlphaGo, AI in Chess playing, etc.
Machine learning may be a subfield of AI, which enables machines to find out from past data or experiences without being explicitly programmed. Machine learning enables a computing system to form predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a huge amount of structured and semi-structured data in order that a machine learning model can generate accurate result or give predictions supported that data. Machine learning works on algorithm which learn by it's own using historical data. It works just for specific domains like if we are creating a machine learning model to detect pictures of dogs, it'll only give result for dog images, but if we offer a replacement data like cat image then it'll become unresponsive. Machine learning is getting used in various places like for online recommender system, for Google search algorithms, Email spam filter, Facebook Auto friend tagging suggestion, etc.
Session-6: E-application
The creation and use of an online form, process or template to use for a kind of application, grant, fund, membership, account, service, funding or for other accurate and specific purpose. Many public sector and other sector organizations use an e-application for various purposes. Electronically/network based applications for the social development of communities/societies, as such E-learning, E-commerce, E-governance, E-health, E- Business and Internet Computing, Software engineering of e-business systems, etc.
Session-7: Decision Support Systems & Business Intelligence
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of a corporation (usually mid and better management) and help people make decisions about problems which will be rapidly changing and not easily specified in advance—i.e. unstructured and semi-structured decision problems. Decision support systems are often either fully computerized or human-powered, or a mixture of both. While academics have perceived DSS as a tool to support deciding processes, DSS users see DSS as a tool to facilitate organizational processes.
Business intelligence (BI) comprises the strategies and technologies employed by enterprises for the info analysis of business information. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data processing, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to assist identify, develop, and otherwise create new strategic business opportunities. They aim to permit for the straightforward interpretation of those big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.

Management Information Systems(MIS) is the study of people, technology, organizations, and the relationships among them. MIS professionals help firms realize maximum benefit from investment in personnel, equipment, and business processes. MIS is a people-oriented field with an emphasis on service through technology. If you have an interest in technology and have the desire to use technology to improve people’s lives, a degree in MIS may be for you.

Businesses use information systems at all levels of operation to collect, process, and store data. Management aggregates and disseminates this data in the form of information needed to carry out the daily operations of business. Everyone who works in business, from someone who pays the bills to the person who makes employment decisions, uses information systems. A car dealership could use a computer database to keep track of which products sell best. A retail store might use a computer-based information system to sell products over the Internet. In fact, many (if not most) businesses concentrate on the alignment of MIS with business aims to achieve competitive advantage over other businesses.

MIS professionals create information systems for data management (i.e., storing, searching, and analyzing data). In addition, they manage various information systems to meet the needs of managers, staff and customers. By working collaboratively with various members of their work group, as well as with their customers and clients, MIS professionals are able to play a key role in areas such as information security, integration, and exchange. As an MIS major, you will learn to design, implement, and use business information systems in innovative ways to increase the effectiveness and efficiency of your company.

  • Information System
  • Database Management System
  • Research System
  • Information Security & Law
  • Artificial Intelligence and Machine Learning
  • E-application
  • Decision Support Systems & Business Intelligence

1 Renowned Speakers

Elias Semajeri Ladislas

Kampala International University, Uganda
Uganda