Data Analytics Concepts Quiz

Course Title and Instructor

• Course: Fundamental of Information Systems
• Instructor: Dr. Phyu Hnin Thike
• Email: [email protected]

Module Overview

• Module Title: Fundamentals of Information Systems
• Textbook: "Introduction to Information Systems", 2018, Patricia Wallace, Third Edition, Pearson
• Module Duration: 10 weeks

Module Aims

• To provide learners with an understanding of computerized data processing and analysis in a business context.
• To demonstrate how information systems enable people to access necessary information, collaborate effectively, make informed decisions, and execute business operations efficiently.

Learning Objectives

• Identify various states of data, its nature, and structure.
• Determine the function of an Information System, its types, and supporting building blocks.
• Understand the methodologies, IS development lifecycle, and other systems for reporting and data analysis.
• Discuss the uses of Information Systems in business organizations.

Module Schedule

• Week 1-2: Introduction to Information Systems, Information Systems and Strategy
• Week 3-4: Information and Communication Technologies, The Enterprise Architecture
• Week 5-6: Databases and Data Warehouses, Information Systems for the Enterprise
• Week 7-8: The Web, Social Media, E-Commerce, M-Commerce, Ethics, Privacy, Security, Systems Development, Procurement, Business Intelligence, Decision Making, Collaborating with Technology, Knowledge Management, E-Learning
• Week 9-10: Project Management, Strategic Planning, Revision

Assessment

• Coursework Report: 100%, focusing on data analysis, information systems, business intelligence, and IT inventory management.
• Phase Test: 100%, consisting of 50 multiple-choice questions covering the module's topics and is an individual assessment. Closed book.

Today's Topic

• Basic concept of Data & Information
• How does Information become?
• Type and States of Data
• What is Information System?

Data

• Raw, unorganized collection of facts.
• Often seemingly random and useless until organized.
• Example: A student's test score is a piece of data.

Information

• Processed, organized, structured, or presented data, in a context, that is useful.
• Example: The average test score of a class or school is information derived from the raw data.

How does information become?

• Information based on data.
• Data must be true, realistic, practical and analyzed.
• Data type must also be qualitative or quantitative.

What makes information valuable?

• Timeliness (Especially important for information like stock prices)
• Accuracy
• Completeness
• Economical
• Accessibility

Falsified Data

• Falsified data leads to wrong information.
• The "Garbage In – Garbage Out" principle applies in computing. Input must be accurate for output to be correct.

Data Analytics

• Data analysis requires understanding of various types of data.

Types and States of Data

• Structured Data: Stored in database tables (rows/columns). Only 5-10% of data.
• Semi-Structured Data: Combines structured and unstructured data; has organizational properties for easier analysis. Examples: CSV (Comma-Separated Values) and XML (Extensible Markup Language) documents.
• Unstructured Data: Primarily text and multimedia content; represents roughly 80% of all data. Examples: emails, documents, videos, images, webpages.
• Qualitative Data: Descriptive, categorical, observed, and not measured. Examples: colors, textures, smell, tastes.
• Quantitative Data: Numerical, measurable, and observable. Examples: money, time, speed, and measurements like area, height, temperature.

Information System

• A system where four critical components—people, technology, processes, and data—work together to collect, manage, process, and analyze data to produce useful information; used for companies to solve problems and make decisions.

Components of an Information System

• People: Teams involved in the design, development, launch, and maintenance of information systems. Include roles such as visionaries, developers, managers, analysts, liaisons, users, customers, and contributors.
• Technology: Hardware, software, and telecommunications used in information systems. Includes computers, networks, and software programs.
• Processes: Activities designed to achieve a task. BPM (Business Process Management) designs, optimizes, and streamlines processes, taking into account the human elements and organizational culture.
• Data: Raw facts that are assembled and analyzed to add meaning.

Further Study

• Today's discussion will encourage you to obtain and analyze relevant data and generate your own quantitative and qualitative data, as requested in the discussion section.
• The next lecture will focus on Information Systems and Strategy.