D491 Introduction to Analytics
Access The Exact Questions for D491 Introduction to Analytics
💯 100% Pass Rate guaranteed
🗓️ Unlock for 1 Month
Rated 4.8/5 from over 1000+ reviews
- Unlimited Exact Practice Test Questions
- Trusted By 200 Million Students and Professors
Starting from
$30/month
What’s Included:
- Unlock 100 + Actual Exam Questions and Answers for D491 Introduction to Analytics on monthly basis
- Well-structured questions covering all topics, accompanied by organized images.
- Learn from mistakes with detailed answer explanations.
- Easy To understand explanations for all students.
Access and unlock Multiple Practice Question for D491 Introduction to Analytics to help you Pass at ease.
Free D491 Introduction to Analytics Questions
1. A decision support system (DSS) _____.
- helps replace managerial decision-making in a company
- speeds up and simplifies the acquisition of information
- is designed to help managers deal with specific kinds of problems
- is a hybrid of an executive information system and an intranet
Explanation
A Decision Support System (DSS) is an interactive software-based tool that supports managers in making informed decisions by analyzing data and presenting actionable insights. It does not replace managerial judgment but enhances it by providing relevant data, models, and analytical tools for specific types of structured, semi-structured, or unstructured problems. A DSS integrates data from various sources, allowing users to simulate scenarios, evaluate alternatives, and assess outcomes—thus improving the quality and timeliness of business decisions.
2. How does data analytics help businesses make decisions?
- By relying on hunches and guesses
- By analyzing unstructured data only
- By identifying patterns and hidden relationships in data
- By avoiding qualitative methods
Explanation
Data analytics supports business decision-making by uncovering patterns, correlations, and trends hidden within large volumes of data. Through statistical analysis, modeling, and interpretation, analytics transforms raw information into actionable insights that guide strategic and operational choices. By identifying customer behaviors, market trends, and performance indicators, businesses can make informed, evidence-based decisions rather than relying on intuition or guesswork. This data-driven approach enhances accuracy, efficiency, and competitiveness across all levels of an organization.
3. Explain how data gathering contributes to the overall analytics process and its importance in decision-making.
- Data gathering is irrelevant as analysis alone drives decision-making.
- Data gathering is the first step that ensures the right information is available for analysis, which is crucial for informed decisions.
- Data gathering only serves to create reports and has no impact on decision-making.
- Data gathering is a secondary process that follows analysis.
Explanation
Data gathering is the foundational step in the analytics process because it ensures that accurate, relevant, and comprehensive information is collected before any analysis begins. Without proper data collection, the subsequent analysis may be flawed or incomplete, leading to poor decision-making. Gathering the right data allows organizations to identify trends, patterns, and insights, which are critical for making informed and evidence-based decisions. Essentially, data gathering sets the stage for the entire analytics workflow, making it a critical component in supporting strategic, operational, and tactical decisions.
4. Which type of data analytics attempts to answer the question: why did this happen?
- Descriptive Analytics
- Predictive Analytics
- Diagnostic Analytics
- Prescriptive Analytics
Explanation
Diagnostic analytics focuses on understanding the reasons behind past events or outcomes. It digs deeper than descriptive analytics by examining relationships, patterns, and anomalies in data to determine causes and contributing factors. Techniques such as data mining, drill-down analysis, and correlation analysis are commonly used in diagnostic analytics to uncover the “why” behind trends or changes. This type of analysis helps organizations understand what factors influenced performance, enabling them to make more informed decisions in the future.
5. Explain how data security contributes to the overall effectiveness of analytics in decision-making.
- It allows for more data to be collected without restrictions.
- It ensures that only authorized personnel can access and analyze data, thus maintaining data integrity.
- It simplifies the data analysis process by reducing the amount of data to be analyzed.
- It eliminates the need for data governance policies.
Explanation
Data security plays a vital role in maintaining the trustworthiness and reliability of analytics by protecting data from unauthorized access, alteration, or breaches. Ensuring that only authorized personnel can access and analyze data preserves data integrity and confidentiality. Secure data practices strengthen confidence in analytical results, which in turn enhances the quality of decision-making. Without strong data security, analytics outcomes could be compromised by corrupted or manipulated data, leading to poor or risky business decisions.
6. ___ is defined as a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving.
- Inventory management
- Data warehousing
- Business analytics
- Market basket analysis
Explanation
Business analytics refers to the process of examining and interpreting data to derive insights that drive strategic and operational decisions. It involves applying statistical methods, predictive modeling, and data visualization techniques to convert raw data into actionable knowledge. Through this process, organizations can identify trends, evaluate performance, and implement data-driven strategies that enhance efficiency and competitiveness. Business analytics bridges the gap between data collection and decision-making by transforming insights into concrete actions that solve problems and improve outcomes.
7. What is the primary purpose of data gathering in the analytics process?
- To analyze data trends
- To collect relevant information needed for analysis
- To make decisions based on data
- To create data models
Explanation
Data gathering serves as the foundational step in the analytics process, focusing on the systematic collection of relevant, accurate, and comprehensive information. This stage ensures that analysts have the necessary inputs to conduct meaningful analysis and derive actionable insights. By collecting the right data from appropriate sources, organizations can accurately represent business activities and make well-informed decisions. Without proper data gathering, subsequent analytical stages—such as modeling, interpretation, and decision-making—would lack reliability and validity.
8. Which of the following tasks is primarily associated with the role of a data engineer?
- Conducting statistical analysis on data sets
- Designing and maintaining data systems
- Creating visualizations for data interpretation
- Developing machine learning models
Explanation
A data engineer’s primary responsibility is to design, build, and maintain data infrastructure and systems that enable the collection, storage, and efficient processing of large datasets. This role focuses on establishing robust data pipelines, integrating data from multiple sources, and ensuring data is available and reliable for analysts and data scientists. While data scientists analyze and model the data, and analysts visualize it, the data engineer ensures the underlying systems and architecture support these functions effectively.
9. Explain how a decision support system contributes to the data value chain in analytics.
- It solely focuses on data creation.
- It integrates data gathering, analysis, and decision-making processes.
- It replaces the need for data engineers and scientists.
- It is only useful for large organizations.
Explanation
A decision support system (DSS) plays a vital role in the data value chain by connecting data collection, processing, analysis, and decision-making into one cohesive framework. It helps organizations transform raw data into actionable insights that guide strategic and operational decisions. By integrating multiple stages of the data value chain, such as data gathering, analysis, and reporting, a DSS ensures that decision-makers can rely on accurate and timely information. This integration enhances the overall efficiency and effectiveness of analytics, leading to better, data-informed decisions across all organizational levels.
10. Data-driven decision-making is described as using _____ to guide business strategy.
- intuition
- facts
- gut instinct
- visualizations
Explanation
Data-driven decision-making refers to the process of basing strategic and operational business choices on factual data rather than intuition, assumptions, or personal opinions. By relying on verified data, organizations can identify trends, measure performance, and predict future outcomes with greater accuracy. This approach minimizes biases and enhances objectivity, allowing leaders to make more reliable and effective decisions that align with real-world conditions and measurable results.
How to Order
1
Select Your Exam
Click on your desired exam to open its dedicated page with resources like practice questions, flashcards, and study guides.Choose what to focus on, Your selected exam is saved for quick access Once you log in.
2
Subscribe
Hit the Subscribe button on the platform. With your subscription, you will enjoy unlimited access to all practice questions and resources for a full 1-month period. After the month has elapsed, you can choose to resubscribe to continue benefiting from our comprehensive exam preparation tools and resources.
3
Pay and unlock the practice Questions
Once your payment is processed, you’ll immediately unlock access to all practice questions tailored to your selected exam for 1 month .