COMSCI2100 - INFO MANAGEMENT - M1

Information Management

It refers to a systematic handling of information to ensure accuracy, security, and accessibility. Involves people, processes, and technology.

People

A component of IM:
Users, managers, IT Staff.

Processes

A component of IM:
Data collection, storage, sharing.

Technology

Databases, cloud platforms, software.

Information Systems

It integrates people, processes, and technology to manage data.

Transaction Processing Systems (TPS)

A type of IS that handles daily transactions. (e.g., sales and purchases).

Management Information Systems (MIS)

A type of IS that provides summary reports for managers.

Decision Support Systems (DSS)

A type of IS that support complex decision-making (e.g.,

market trends, financial forecasts).

Enterprise Resource Planning (ERP) Systems

A type of IS that integrates organizational functions. (e.g., finance, human resources, and procurement)

Knowledge Management Systems (KMS)

A type of IS that manages organizational knowledge.

Strategic Planning for Information Systems

Which of IM Startegies align with IM with organizational goals.

Information Governance

Ensure quality and compliance.

Data Quality Management

Maintain accuracy and reliability.

Cloud Computing and Information Management

Offers scalable and flexible data access.

Improved Decision-Making

Accurate and timely information helps leaders make better choices.

Increased Productivity

− Organized data reduces duplication and saves time.

Cost Savings

− Efficient systems minimize waste and optimize

resource use.

Competitive Advantage

− Enables faster responses to market changes and innovation.

Big Data and Analytics

• Use of massive, complex datasets to uncover patterns, trends, and insights.

• Supports predictive analytics and data-driven decision-making.

Artificial Intelligence and Machine Learning

• Automates data processing and analysis.

• Enables intelligent systems that learn and adapt over time.

Internet of Things (IoT)

• Connects physical devices to information systems.

• Enables real-time data collection and monitoring.

Cloud Computing

• Offers scalable, flexible, and cost-effective data

storage and access.

• Supports remote collaboration and real-time data

sharing

Information Security

Protects against breaches.

Ethics in Information Management

Ensures

responsible data use.

Legal Compliance

- Adhering to laws like the General Data Protection Regulation and the Data Privacy Act.

Information Lifecycle Management (ILM)

Refers to the process of managing information, ensuring that data is handled properly at every stage to support business needs, compliance, and security.

1. Data Creation

2. Data Storage

3. Data Retreival

4. Data Usage

5. Data Retirement

The ILM has five stages.

Data Creation

- Information is generated through activities like transactions, surveys, or sensors.

Data Storage

Data is stored securely in databases, cloud systems, or other repositories.

Data Retrieval

Authorized users access data using queries, search tools, or reports.

Data Usage

Data is processed, analyzed, shared, or used for decision making.

Data Retirement

Outdated or unnecessary data is archived or deleted, often following legal retention policies

Data

Is a collection of raw facts, figures, or symbols that represent information but have not yet been processed or interpreted.

1. Raw

2. Objective

3. Quantivative or Qualitative

Characteristics of Data

Raw

Data is unprocessed and lacks context.

Objective

Data represents facts, not opinions

Quantitative or Qualitative

Data can be numbers or descriptions

Quantitative

Numerical type of

Qualitative

Descriptive or Categorical type of data

Structured

Organized in tables or databases

Unstructured

No predefined format

Information

Refers to data that is processed and given context.

Database

An organized collection of data that is stored and accessed electronically, allowing users and applications to efficiently store, retrieve, update, and manage data.

Structured Storage

- Data in a database is stored in tables with rows and columns.

Efficient Access

Using a database enables fast searching and querying.

Data Integrity

Using a database ensures accuracy and consistency.

Security

Using a database controls access to sensitive data.

Scalability

Databases can grow with increasing data needs.

Relational

Types of Database that Makes use of tables with relationships between them

NoSQL

Types of Database that Handles unstructured or semi-structured data

Cloud

Type of DB Hosted on cloud platforms

Distributed

type of db: Data is spread across multiple locations

Object-oriented

Data is stored as objects

Database System

A complete system that includes everything needed to manage and use a database effectively.

Database

- the collection of organized data within the system.

Database Management System (DBMS) -

software that manages the database.

users

are people or applications that access and manipulate the data.

Database Applications

are programs or interfaces that allow users to interact with the DBMS.