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IS 435 Final Exam Review Terms in this set (20) Data discrete, objective facts about an event Information data with analyzed relationships and connections Knowledge contextualized information BI focuses on using a consistent set of metrics to measure $8.99   Add to cart

Exam (elaborations)

IS 435 Final Exam Review Terms in this set (20) Data discrete, objective facts about an event Information data with analyzed relationships and connections Knowledge contextualized information BI focuses on using a consistent set of metrics to measure

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  • Course
  • CGAP - Certified Government Auditing Professional
  • Institution
  • CGAP - Certified Government Auditing Professional

IS 435 Final Exam Review Terms in this set (20) Data discrete, objective facts about an event Information data with analyzed relationships and connections Knowledge contextualized information BI focuses on using a consistent set of metrics to measure past performance and inform busines...

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  • August 7, 2024
  • 2
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • CGAP - Certified Government Auditing Professional
  • CGAP - Certified Government Auditing Professional
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Denyss
8/7/24, 2:44 AM



IS 435 Final Exam Review
Jeremiah




Terms in this set (20)

Data discrete, objective facts about an event

Information data with analyzed relationships and connections

Knowledge contextualized information

focuses on using a consistent set of metrics to measure past performance and inform
BI
business planning.

Structured data data containing a defined data type, format, and structure.

Semi-structured textual data files with a discernable pattern, enabling parsing.

Quasi-structured data Textual data with erratic data formats, can be formatted with effort, tools, and time.

Unstructured data Data that has no inherent structure and is usually stored as different types of files

Transaction data and OLAP Examples of Structured Data

XML data files that are self-describing and Examples of Semi Structured
defined by an xml schema

Web clickstream data that may contain some Examples of Quasi-structured data
inconsistencies in data values and formats

Text documents, PDFs, images and video Examples of Unstructured data

- Desire to optimize business operations. business drivers for using analytics/BI
- Desire to identify business risk.
- Predict new business opportunities.
- Comply with laws or regulatory
requirements.

data warehouse Centralized data containers in a purpose-built space

Data warehousing, ERP, Knowledge technologies of OM
repositories, Digital Content Management
Systems, Document Management Systems

Environmental scanning, Text Mining, Web technologies of Information Integration
Mining, Radio Frequency Identification
Devices

IS 435 Final Exam Review




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