Summary Information Systems and Data Analytics 2023/2024
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Course
Information Systems and Data Analytics (323101M6)
Institution
Tilburg University (UVT)
(9.3 for exam) Summary of all chapters you need to know from the course reader, including the 2 mandatory chapters from the book Data Management: Databases and Analytics (Watson, 2023)
Summary of all chapters you need to know from the course reader, including the 2 chapters
from the book Data management: Databases and analytics (Watson, 2023)
1. How to use the material
Organizational memory: All the data of an organization
Analytics: How we use what we store in memory
Information systems: a set of interrelated components that collect, process, store, and
distribute information to support decision making and control in an organization.
Four elements of information systems (IS)
● Collect data (ERP system)
● Store data (ERP system, database, XBRL)
● Process data (analysis, summary statistics, machine learning)
● Communicate information (dashboard, audited financial statements, storytelling)
Chapter 1 - Managing Data (Watson 2023)
Introduction
- Organizations have data management systems to record the myriad of details
necessary for transacting business and making informed decisions
- The management of organizational data, generally known as data management,
requires skills in designing, using, and managing the memory systems of modern
organizations.
- The socio-technical perspective is a prerequisite for successful data management.
Individual data management
Features common to all data management systems:
● There is a storage medium
● There is a structure for storing data
● The interface is organized for rapid data entry and retrieval
● The selection of a data management system frequently requires a trade-off decision
Organizational data management
- The same principles found in individual memory systems apply to an organization’s
data management systems
, Types of information systems:
The information systems cycle
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