Business Intelligence Chapter 2 & 3 Quiz
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What is meant by data currency in the context of analytics ready data?

  • The accuracy of the data content
  • The data being up to date as needed (correct)
  • The relevance of data to the current study
  • The level of security of the data source
  • Which type of data allows for the division of a variable into specific classes?

  • Quantitative data
  • Categorical data (correct)
  • Discrete data
  • Continuous data
  • What does the term data granularity refer to?

  • The reliability of the data source
  • The level of detail in the data (correct)
  • The timeliness of data updates
  • The accuracy of data collection
  • What is a primary focus of descriptive analytics?

    <p>Analyzing historical data</p> Signup and view all the answers

    Which of the following best defines data relevance?

    <p>Data must accurately match the problem being studied</p> Signup and view all the answers

    What is the significance of data visualization in analytics?

    <p>It transforms data into actionable insights</p> Signup and view all the answers

    What does data content accuracy ensure?

    <p>Data is correct and matches the described problem</p> Signup and view all the answers

    Which of the following is not a key metric for making data analytics ready?

    <p>Data complexity</p> Signup and view all the answers

    Which company is known for its focus on data visualization and is mentioned in the content?

    <p>IBM</p> Signup and view all the answers

    What do performance dashboards primarily provide?

    <p>Visual displays of critical information</p> Signup and view all the answers

    Which of the following tools was mentioned as bolstered by Microsoft?

    <p>Power View</p> Signup and view all the answers

    What is the purpose of SAS Visual Analytics architecture mentioned in the content?

    <p>To support big data analysis and in-memory processing</p> Signup and view all the answers

    Which analytics tool is specifically mentioned in relation to Oracle?

    <p>Oracle visualization tools</p> Signup and view all the answers

    Performance dashboards are usually part of what type of software suites?

    <p>Business Process Management (BPM) software</p> Signup and view all the answers

    Which of the following companies is NOT cited for analytics in the provided information?

    <p>Salesforce</p> Signup and view all the answers

    What key feature do dashboards provide for information display?

    <p>Ability to drill down and explore further</p> Signup and view all the answers

    What is the primary purpose of a business report?

    <p>To improve managerial decisions</p> Signup and view all the answers

    Which of the following best describes metric management reports?

    <p>They assist in managing business performance through metrics.</p> Signup and view all the answers

    What distinguishes dashboard-type reports from other reports?

    <p>They present multiple performance indicators on a single page using visual tools.</p> Signup and view all the answers

    Which of the following correctly defines data visualization?

    <p>The use of visual representations to explore and communicate data.</p> Signup and view all the answers

    Which report type includes indicators in financial, customer, business process, and learning & growth categories?

    <p>Balanced scorecard-type reports</p> Signup and view all the answers

    What is NOT a function of reports in a business context?

    <p>To provide social media updates</p> Signup and view all the answers

    What role does information visualization play in data representation?

    <p>It is synonymous with data visualization focusing on summarization and context.</p> Signup and view all the answers

    How are business reports typically formatted?

    <p>A mix of text, tables, and graphs/charts.</p> Signup and view all the answers

    What is the primary purpose of regression in inferential statistics?

    <p>To characterize relationships between variables</p> Signup and view all the answers

    Which measure is NOT considered a part of descriptive statistics?

    <p>Hypothesis testing</p> Signup and view all the answers

    What technique is used to reduce the number of variables in a dataset?

    <p>Dimensional reduction</p> Signup and view all the answers

    What is the central concept of measures of dispersion?

    <p>Calculating differences from the mean</p> Signup and view all the answers

    What does kurtosis measure in a distribution?

    <p>The steepness and peak of the distribution</p> Signup and view all the answers

    In sampling methods, what is the purpose of balancing or stratification?

    <p>To ensure each subgroup is represented proportionately</p> Signup and view all the answers

    What distinguishes simple regression from multiple regression?

    <p>The number of input variables</p> Signup and view all the answers

    Which of the following best describes inferential statistics?

    <p>It involves drawing conclusions about a population based on sample data</p> Signup and view all the answers

    What is a critical aspect of dashboard design?

    <p>Display all information without distraction</p> Signup and view all the answers

    Which of the following is NOT a layer of information typically presented in dashboards?

    <p>Forecasting</p> Signup and view all the answers

    What feature makes a dashboard user-friendly?

    <p>Transparent and easy to use</p> Signup and view all the answers

    What does Business Performance Management (BPM) primarily aim to achieve?

    <p>Alert managers to opportunities and threats</p> Signup and view all the answers

    Which of the following practices is considered a best practice in dashboard design?

    <p>Wrap metrics in contextual metadata</p> Signup and view all the answers

    What is a characteristic of an effective performance dashboard?

    <p>Real-time and dynamic updates</p> Signup and view all the answers

    Which statement about BPM is accurate?

    <p>BPM is a real-time alert system for managers</p> Signup and view all the answers

    What does effective dashboard design require according to best practices?

    <p>Enrich the dashboard with business-user comments</p> Signup and view all the answers

    Study Notes

    Learning Objectives

    • Understand data's role in business intelligence (BI) and analytics (BA).
    • Prepare real-world data for analytics use.
    • Explore statistical modeling and its significance to BA.
    • Differentiate between descriptive and inferential statistics.
    • Recognize business reporting and its evolution over time.
    • Appreciate data/information visualization's critical role.
    • Learn various visualization techniques.
    • Understand the benefits of visual analytics in business.
    • Know dashboard capabilities and inherent limitations.

    Nature of Data

    • Data transforms into actionable information.
    • Key attributes for analytics-ready data include reliability, accuracy, accessibility, security, consistency, currency, granularity, validity, and relevancy.

    Data Taxonomy

    • Categorical data categorizes variables into specific groups, such as age or education level.
    • Nominal data uses simple codes that carry no numeric value.
    • Sampling techniques include balancing and stratification.

    Statistical Modeling

    • Statistics involve techniques to interpret and analyze data.
    • Descriptive statistics summarize data as it is.
    • Inferential statistics make predictions or inferences about larger populations using sample data.

    Descriptive Statistics

    • Central tendency measures: Mean (average), median, and mode.
    • Dispersion measures include range, variance, standard deviation, and Mean Absolute Deviation (MAD).
    • Skewness and kurtosis evaluate data distribution shape.

    Regression Modeling

    • Regression, a key component of inferential statistics, explores relationships between explanatory (input) and response (output) variables.
    • Used for hypothesis testing and predicting outcomes.
    • Differentiates between correlation and regression, with simple regression utilizing one input variable and multiple regression using more than one.

    Time Series Forecasting

    • Focuses on time-varying behavior, such as moving averages and cyclical trends.

    Business Reporting

    • A report communicates information for decision-making.
    • Reports can serve multiple functions: ensuring departmental functionality, providing insights, fostering analysis results, persuading action, and maintaining organizational knowledge.
    • Business reports improve managerial decision-making using data from internal and external sources, typically formatted with text, tables, and graphs.

    Types of Business Reports

    • Metric Management Reports: Drive performance management using metrics like Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).
    • Dashboard-Type Reports: Graphically present multiple performance indicators on one page with dials or gauges.
    • Balanced Scorecard Reports: Incorporate financial, customer, process, and learning indicators.

    Data Visualization

    • Utilizes visual representations to explore, analyze, and communicate data.
    • Involves information aggregation, summarization, and contextualization, often through charts and graphs.

    Emergence of Data Visualization

    • Increased emphasis from prominent companies, including Tableau, QlikView, and Microsoft.
    • Technologies integrate big data, in-memory processing, and analytics into visualization tools.

    Performance Dashboards

    • Visual displays consolidate vital information for quick comprehension and exploration.
    • Effective dashboard design focuses on clarity, minimal distraction, and information assimilation.
    • Dashboards combine diverse data sources into unified views, enabling drill-down access and providing real-time updates.

    Best Practices in Dashboard Design

    • Benchmark Key Performance Indicators (KPIs) against industry standards.
    • Embed contextual metadata with metrics.
    • Validate design with usability specialists.
    • Prioritize alerts and present information at three levels.
    • Utilize appropriate visual constructs and guided analytics.

    Business Performance Management (BPM)

    • BPM operates in real-time to inform managers of opportunities and threats, facilitating proactive responses through collaboration and modeling.
    • Also referred to as Corporate Performance Management (CPM) or Enterprise Performance Management (EPM).
    • BPM encompasses methodologies, metrics, and technologies to measure and manage business performance.

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    Related Documents

    chp2,3.pdf

    Description

    Test your knowledge on the fundamentals of descriptive analytics and business performance management as presented in Chapters 2 and 3. Dive into the nature of data, statistical modeling, visualization, and effective performance management strategies. Perfect for students and professionals looking to strengthen their understanding of business analytics.

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