Lecture 15 - Management Info Systems

Key Concepts:

  • Data vs Information

  • Information Technology (IT)

  • Information System (IS) vs. Management Information Systems (MIS)

  • Business Intelligence (BI)

  • objectives of an information system

  • contemporary approach to MIS

MIS Definitions

Data: raw facts, e.g. a list of items scanned at a supermarket checkout scanner

Information: data shaped into a form that is meaningful… to human beings. e.g. which items are selling well? Which aren’t? Which need reordering right way? Which need reordering this week…etc.

Information Technology: all the hardware and software that a firm needs to use in order to achieve its business objectives. e.g. desktops, laptops, server, smart phones, MS Office, MySQL DBMS, Tableau, MS Power BI, custom software.

Information System (IS): A set of interrelated components that collect, process, store and distribute information to support decision making and control in an organization

Information System Literacy: understanding the technical, organization, management dimensions of an information system.

Dimensions of an Information System

  • Technical: already been mentioned. e.g. processors, memory, secondary storage, servers, databases, networks

  • Organization: different groups in a firm have different information needs, e.g. senior management does long range planning vs. operational workers deal with day-to-day transactions.

  • rules: (such as course prerequisites, course capacity, access to Learn) are embedding in the information system. This is the control aspect of an information system.

  • Management: makes decisions, formulate actions plans, design and deliver new products and services.

The mission of MIS

  • to improve the performance of people in organizations through the use of information technology (IT)

  • To fully or partially automate data gathering, processing, storage and information distribution with the help of IT. To convert business data into information with business intelligence.

  • Recall information is data shaped into a form that is meaningful to human beings.

  • Business intelligence is IT to help make better business decisions. e.g. data and software tools for organizing, analyzing and providing access to data.

MIS vs. IS

  • Wikipedia and some other online resources consider MIS as a part of an IS and is designed to support or automate decision making.

  • The textbook considers and MIS as broader than an IS: for an MIS both technical and behavioural issues are considered.

Why Have MIS:

  • Information Technology: h/w and s/w a firm uses to achieve its business objectives.

  • Data: raw facts

  • Information: Data shaped into a form that is meaningful to human beings.

  • Business Intelligence (BI): IT to help users make better business decisions.

  • Information System (IS): Interrelated components that collect, process, store and distribute information to support decision making and control in an organization

  • Management IS (MIS): IS + behavioural issues.

Why Consider an IS?

  1. create or maintain a competitive advantage

  2. adapt to (internal and external) change

  3. cost benefit analysis

How to develop and manage an IS?

  • design, implement, and integrate

  • training, new business practices

  • privacy and security

Contemporary Approaches: from IS to MIS

Why Do Some Companies Get a bigger productivity Boost

Key Point: There are two different approaches to optimize in order to get the most value from your IS investment.

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Technical Approaches

  • Computer Science: methods of computation, storage, and and access

  • Operations Research: optimizing selected parameters such as transportation costs, inventory levels.

  • Management Science: models for decision making and management practices.

Behaviour Approaches

  • Sociology: how information systems affect individuals, groups and organizations.

  • Economics: production of digital goods, dynamics of digital markets

  • Psychology: how humans decisions makers user formal information

A Sociotechnical Approach

  • Optimal organization performance is achieved by jointly optimizing both the social and technical systems used in production

  • Both behavioural and technical aspect need to be considered