course 1 – foundations of business intelligence

Module 3: Context Is Crucial for Purposeful Insights

GOOGLE BUSINESS INTELLIGENCE PROFESSIONAL CERTIFICATE

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TABLE OF CONTENT

INTRODUCTION – Context Is Crucial for Purposeful Insights

In this course, participants will delve into the nuanced realm of Business Intelligence, specifically focusing on the critical element of context. Understanding the significance of context is paramount in BI, and this program aims to equip learners with the tools and strategies needed to navigate data limitations effectively. As businesses undergo constant changes, it becomes imperative to address these challenges and gain access to big-picture insights in a timely manner.

The course further delves into the dynamic nature of BI, providing insights into strategies employed by BI professionals to anticipate and overcome limitations arising from evolving contexts. Participants will gain a profound understanding of how context intricately shapes metrics, offering a holistic perspective on the interplay between data and the broader organizational landscape. Through practical examples and real-world scenarios, this course ensures that learners not only grasp theoretical concepts but also develop the practical skills necessary to thrive in the complex and ever-changing field of Business Intelligence.

Learning Objectives

  • Explain how to anticipate limitations of data and ensure that they do not detract from stakeholder’s intent.
  • Describe some of the common limitations of data.
  • Verify that data has a purpose and is actionable, as opposed to tracking for the sake of more information.
  • Describe the meaning and key takeaways BI analysts and engineers aim to get from a metric or a table.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: CONSTANT CHANGE AND OTHER LIMITATIONS

1. A business intelligence professional considers the origin of a dataset, as well as what the data might have an impact on. What business intelligence practice does this situation involve?

  • Research
  • Mapping
  • Interpretation   
  • Contextualization (CORRECT)

Correct: This situation involves contextualization. Contextualization gives something greater meaning and helps people understand it more completely.

2. Data integrity, data visibility, update frequency, and change are all aspects of what key business intelligence considerations?

  • Data performance
  • Data strategy
  • Data maturity
  • Data availability (CORRECT)

Correct: Data integrity, data visibility, update frequency, and change are all aspects of data availability. Data availability is the degree or extent to which timely and relevant information is readily accessible and able to be put to use.

3. A soap maker recently implemented a new record-keeping process. This compromised the integrity of its business intelligence solution when using data about recent sales at a local craft fair. What data limitation does this situation describe?

  • Change (CORRECT)
  • Data integrity
  • Data visibility
  • Update frequency   

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: MOVE BEYOND DATA LIMITATIONS

1. A business intelligence professional working at a beach towel manufacturer creates a dashboard to highlight the spike in sales that happens each summer season. The vice president of sales instead asks for a dashboard that reveals year-over-year results. In this situation, what is the vice president trying to accomplish?

  • Limit the number of metrics
  • Use only very specific metrics
  • Eliminate vanity metrics (CORRECT)
  • Ensure all metrics are measurable

Correct: They are eliminating vanity metrics from the dashboard. Vanity metrics are data points that are intended to impress others, but are not indicative of actual performance and, therefore, cannot reveal any meaningful business insights.

2. A business intelligence professional is determining which metrics to include on a dashboard. They confirm that they have the necessary technologies and processes in place to obtain and analyze the data they need for each metric. What principle does this situation describe?

  • Data partitioning
  • Data governance
  • Data integrity
  • Data availability (CORRECT)

Correct: This situation describes data availability. Data availability is the degree or extent to which timely and relevant information is readily accessible and able to be put to use.

3. Which of the following statements accurately describe a dashboard best practice? Select all that apply.

  • Display the most important metric at the base, as it is the foundation of the dashboard.
  • Supporting metrics should rise up from the base, as they grow from the most important metric.
  • Display supporting metrics below the top metric, as they reinforce it. (CORRECT)
  • Display the most important metric at the top. (CORRECT)

Correct: In a dashboard, display the most important metric at the top and supporting metrics below.

QUIZ: MODULE 3 CHALLENGE

1. A business intelligence professional at a building company considers when a dataset was created and what was happening in the construction industry at that time. What business intelligence concept does this scenario describe?

  • Continuous improvement
  • Situating data
  • Positioning
  • Contextualizing (CORRECT)

2. What are some key elements of effective dashboard design? Select all that apply.

  • Users have access to numerous dashboards in multiple places
  • Users provide details about how they will use the dashboard (CORRECT)
  • The data is in the right format (CORRECT)
  • The dashboard includes both big-picture insights and supporting information (CORRECT)

3. Data integrity pertains to which aspects of data throughout its life cycle? Select all that apply.

  • Evolution
  • Completeness (CORRECT)
  • Accuracy (CORRECT)
  • Trustworthiness (CORRECT)

4. Which business intelligence concept involves the degree or extent to which timely and relevant information is readily accessible and able to be put to use?

  • Data range
  • Data openness
  • Data availability (CORRECT)
  • Data dimensions

5. The degree or extent to which information can be identified, monitored, and integrated from disparate internal and external sources describes which business intelligence concept?

  • Data visibility (CORRECT)
  • Data blending
  • Data manipulation
  • Data transfer

6. Update frequency describes challenges associated with _____ refreshing their information at different times.

  • cross-functional stakeholders
  • disparate data sources (CORRECT)
  • diverse dashboard users
  • internal databases

7. What is the term for data points that may sound impressive, but are not indicative of actual performance?

  • Constrained metrics
  • Vanity metrics (CORRECT)
  • Spotlight metrics
  • Biased metrics

8. A business intelligence professional considers what they need in order to have the proper metrics on a dashboard. In this situation, what items should they ensure are in place? Select all that apply.

  • Business objectives
  • Budget items
  • Technologies (CORRECT)
  • Processes (CORRECT)

9. When you contextualize, you offer important perspective. What are some key elements to consider when contextualizing a dataset? Select all that apply.

  • How it might be improved
  • Where it fits within a larger setting (CORRECT)
  • The motivation behind it (CORRECT)
  • The origin and other relevant background information (CORRECT)

10. A business intelligence professional considers how each stakeholder will use the dashboard they create. This is an important part of prioritizing what within an organization?

  • Processing speed
  • Business metrics
  • Advanced analytics
  • Cross-functional relationships (CORRECT)

11. In business intelligence, typical issues related to data _____ include duplicates, missing information, inconsistent structure, or not conforming to established business rules.

  • ethics
  • composition
  • structure
  • integrity (CORRECT)

12. A business intelligence professional spends some time researching the data that will be used in an upcoming project. They want to ensure that it is timely, relevant, readily accessible, and able to be put to use. What business intelligence concept does this scenario describe?

  • Data dimensions
  • Data range
  • Data openness
  • Data availability (CORRECT)

13. In order to identify what data is available to be monitored, a business intelligence professional works with their colleagues to create a list of relevant integrated data repositories. What business intelligence concept does this scenario describe?

  • Data transfer
  • Data manipulation
  • Data visibility (CORRECT)
  • Data blending

14. Fill in the blank: A gardening business uses data from seed producers, irrigation companies, and local farms. The business intelligence team manages _____ because the three sources refresh their data at different intervals.

  • update frequency (CORRECT)
  • diverse databases
  • data push schedules
  • non-live data

15. Fill in the blank: A business intelligence professional is working to improve a dashboard. Currently, it features _____, such as the number of social media followers and monthly page views. They decide to focus on more meaningful metrics instead.

  • spotlight metrics
  • constrained metrics
  • vanity metrics (CORRECT)
  • biased metrics

16. When determining which metrics to include on a dashboard, a business intelligence professional makes four key considerations: They first focus on using only metrics that are critical to project success. What are the other three considerations they make in this situation

  • Eliminate metrics that don’t support stakeholder expectations.
  • Make sure metrics are aligned with business objectives. (CORRECT)
  • Confirm that necessary technologies and processes are in place. (CORRECT)
  • Avoid vague or very high-level metrics. (CORRECT)

17. In business intelligence, what does data availability entail?

  • Data that can be modified or updated by those who use it
  • The free access, usage, and sharing of data
  • Data protection features such as password protection, user permissions, and encryption
  • The degree or extent to which timely and relevant data is accessible and can be put to use (CORRECT)

18. When designing a dashboard, it’s important to prioritize the cross-functional relationships within the organization. What activities does this involve? Select all that apply.

  • Empowering users with numerous dashboards that can be found in multiple places
  • Focusing on collaboration by creating an easily accessible dashboard (CORRECT)
  • Understanding how each particular stakeholder will use the dashboard (CORRECT)
  • Considering how business intelligence aligns with the teams’ overall business objectives (CORRECT)

19. Data visibility is the degree or extent to which a business intelligence professional can do what with data from disparate internal and external sources? Select all that apply.

  • Analyze the data
  • Monitor the data (CORRECT)
  • Integrate the data (CORRECT)
  • Identify the data (CORRECT)

20. Fill in the blank: A business intelligence professional is considering the accuracy, completeness, consistency, and trustworthiness of data. They want to ensure the data _____ of their dataset.

  • composition
  • ethics
  • integrity (CORRECT)
  • structure

21. Which aspect of data availability involves the degree or extent to which information can be identified, monitored, and integrated from internal and external sources?

  • Context
  • Data visibility (CORRECT)
  • Change
  • Data integrity

Correct: Data visibility involves the degree or extent to which information can be identified, monitored, and integrated from internal and external sources.

CONCLUSION – Context Is Crucial for Purposeful Insights

In conclusion, this comprehensive course on Business Intelligence goes beyond the basics, guiding participants through the intricacies of context in data analysis. By addressing the challenges posed by constant changes, learners are empowered to glean meaningful insights in the ever-evolving business landscape. The strategies shared by experienced BI professionals offer valuable tools to navigate complexities and anticipate limitations.

As participants master the art of understanding how context shapes metrics, they are well-prepared to make informed decisions and contribute effectively to the success of their organizations. This course not only enriches theoretical knowledge but also hones practical skills, making it an invaluable resource for those aiming to excel in the dynamic field of Business Intelligence.

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