Business Intelligence and ERP Systems Quiz

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Questions and Answers

What is the primary function of business intelligence tools?

  • To enable access and analysis of data and presentation of results (correct)
  • To implement data warehousing and data mining
  • To provide external and internal structured data
  • To facilitate transaction processing systems

What is the outcome of the business intelligence process?

  • Organizational Memory
  • BI Product (correct)
  • BI Solution
  • BI Tool

What is the role of organizational memory in business intelligence?

  • To store and retrieve knowledge and information (correct)
  • To provide external and internal structured data
  • To facilitate the BI process
  • To implement data warehousing and data mining

What is the primary goal of information integration in business intelligence?

<p>To integrate data from different sources into a unified view (C)</p> Signup and view all the answers

What is the main difference between customization and standardization in business intelligence?

<p>Customization involves tailoring BI tools to meet specific organizational needs, while standardization involves using off-the-shelf BI tools (C)</p> Signup and view all the answers

Which of the following is NOT a BI capability?

<p>Data Mining (A)</p> Signup and view all the answers

What is the primary goal of insight creation in business intelligence?

<p>To identify new patterns and relationships in data (A)</p> Signup and view all the answers

What is the role of BI tools in the BI process?

<p>To facilitate access and analysis of data and presentation of results (D)</p> Signup and view all the answers

Which of the following is an example of a BI tool?

<p>Text Mining (C)</p> Signup and view all the answers

What is the relationship between BI tools and BI solutions?

<p>BI solutions utilize BI tools to support the BI process (D)</p> Signup and view all the answers

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Study Notes

Business Intelligence Tools

  • Business Intelligence (BI) tools are application software that enables BI, facilitating access and analysis of data and presentation of results.
  • BI tools complement traditional ITs, such as Data Warehousing (DW), data mining, and transaction processing systems, to enable 4 BI capabilities.

BI Capabilities and Solutions

  • BI solutions utilize BI tools acquired by an organization, drawing upon existing data from traditional ITs and other information to support the BI process.
  • BI capabilities come together in BI solutions to deliver information and knowledge to facilitate decision-making.

BI Tools: Relationships with Capabilities and Solutions

  • BI tools are used to facilitate access and analysis of data, and presentation of results.
  • BI tools are classified into:
    • Information Integration (e.g., Data Warehousing, ERP, Knowledge Repositories)
    • Insight Creation (e.g., Text Mining, Web Mining, Business Analytics)
    • Presentation (e.g., OLAP, Visualization, Digital Dashboards)
    • Organizational Memory (e.g., Document Management, Digital Content Management)

BI Tools: Classifications

  • BI tools can be classified in terms of:
    • Reporting (e.g., quantitative reports, data description)
    • Data Mining (e.g., identification of hidden patterns using statistical methods)
    • OLAP (e.g., interactive, multidimensional analysis of aggregated quantitative business facts)
    • Supporting data (e.g., Database, DW, ETL)
    • Supporting knowledge (e.g., tools to extract, transform, and load data)
    • Supporting information (e.g., reporting and ad hoc inquiries)
    • Supporting decisions (e.g., tools for data visualization)

Evolution of BI Tools

  • BI tools have evolved over three generations:
    • Generation 1: DBMS-based, structured content
    • Generation 2: Web-based, unstructured content
    • Generation 3: Mobile and sensor-based content (Internet of Things)
  • Top 12 trends in data and analytics (Gartner, Apr. 2022) include:
    • Adaptive AI systems
    • Data-centric AI
    • Metadata-driven data fabric
    • Always share data
    • Context-enriched analysis
    • Business-composed D&A
    • Decision-centric D&A
    • Skills and literacy shortfall
    • Connected governance
    • AI risk management
    • Vendor and region ecosystems
    • Expansion to the edge

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