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BA S2
| Question | Answer |
|---|---|
| Of the following is a benefit of business analytics? Making decisions based on guesswork Ignoring historical trends Eliminating the need for managers Improving decision-making and business insights | Improving decision-making and business insights |
| Warehouses store historical data. Choices: True / False | True |
| Reports come from: Choices: Analyzing data Storing data Deleting data Collecting data only | Analyzing data |
| Management is unnecessary in analytics deployment. Choices: True / False | False |
| Analytics describes past events to provide insights. Choices: True / False | True |
| Example of data warehouse usage: Choices: Tracking historical sales trends Customer service chat Running payroll Scanning barcodes at checkout | Tracking historical sales trends |
| NOT a characteristic of a data warehouse: Choices: Real-time transactional updates Integrated Time-variant Subject-oriented | Subject-oriented |
| Analytics recommends the best course of action. Choices: True / False | True |
| Analytics commonly used for: Choices: Forecasting customer behavior Summarizing historical sales reports Describing past revenue trends Creating data warehouses | Forecasting customer behavior |
| Demand models assume demand decreases as price increases. Choices: True / False | True |
| Computing used for remote storage and computation: Choices: True / False | True |
| Databases are usually non-volatile. Choices: True / False | False |
| Data warehouse integrates data from multiple sources. Choices: True / False | True |
| What is data? Choices: Raw facts and figures Processed information Business decisions Customer behavior | Raw facts and figures |
| Analytics type that recommends best course of action: Choices: Diagnostic Prescriptive Descriptive Predictive | Prescriptive |
| Data warehouses are ______, time-variant, and non-volatile. | Subject-oriented |
| Storage in analytics is used to: Choices: Reduce data accuracy Store data remotely and access anytime Replace all analytics models Only store images | Store data remotely and access anytime |
| Data in a warehouse means: Choices: Data from multiple sources is combined consistently Data is deleted after use All users can modify it Only numerical data is included | Data from multiple sources is combined consistently |
| NOT part of problem-solving process: Choices: Recognizing the problem Ignoring the data Analyzing the problem Implementing the solution | Ignoring the data |
| Data includes structured and unstructured data. Choices: True / False | True |
| Data warehouse is same as operational database. Choices: True / False | False |
| Analytics type predicting future outcomes: Choices: Predictive Exploratory Descriptive Prescriptive | Predictive |
| Analytics can use: Choices: Time-series graphs only Social media posts Transactional databases Optimization models | Optimization models |
| Process of examining data to extract insights: | Analytics |
| Decision model represented as: Choices: Raw data Mathematical formula/diagram/description Spreadsheet only Transactional database | Mathematical formula, diagram, or description |
| Non-volatile: Choices: Real-time data Transaction logs Operational database Data warehouse | Data warehouse |
| Prescriptive analytics benefit: Choices: True / False | True |
| Analytics forecasts future outcomes: Choices: True / False | True |
| Analytics helps detect fraud: Choices: True / False | True |
| Evolution: intuition to ______ decision-making | Data-driven |
| Greatest benefit of analytics: Choices: Better enabling strategic initiatives Reducing costs Improving product innovation Better decision-making | Better decision-making |
| Second step in decision-making: Choices: Implement the chosen alternative Evaluate evidence Analyze results Gather relevant information | Gather relevant information |
| Last step is to implement the chosen alternative. Choices: True / False | False |
| First step in decision-making: | Recognize/define the problem |
| In analytics (classification) refers to: Choices: Implementing decisions Assigning data to categories Evaluating pros and cons Tracking user behavior | Assigning data to categories |
| In analytics ensures: Choices: Creation of records Sending notifications Classification of customers Data accuracy and compliance | Data accuracy and compliance |
| Analytical usage scenario involves: Choices: Searching and extracting data Sending notifications Validating data Modifying records | Searching and extracting data |
| Tool mapping decisions with outcomes: Choices: Decision Matrix SWOT Pros and Cons Decision Tree | Decision Tree |
| Searching and retrieving data: | Querying |
| Assigns data into categories: Choices: True / False | True |
| Evaluation refers to: Choices: Sending emails Updating records Creating data Evaluating evidence | Evaluating evidence |
| Ensures data meets defined standards: | Data quality |
| Common decision-making challenge: Choices: Using decision tree Misidentifying the problem Listing pros and cons Implementing decision | Misidentifying the problem |
| Behavioral analytics (minimum viable tracking): Choices: True / False | True |
| Second step is gathering relevant information. Choices: True / False | True |
| Analytics forwards information to end users. Choices: True / False | True |
| Ensures data meets defined constraints: Choices: True / False | True |
| Last step analyzes the ______ achieved: | Results |
| Matrices help prioritize and evaluate: Choices: True / False | True |
| Analytics only tracks offline behavior: Choices: True / False | False |
| Decision-making should not be rushed or delayed: Choices: True / False | True |
| Last step in 7-step process: Choices: Evaluate evidence Identify options Analyze results Implement alternatives | Analyze results |
| Cost-benefit analysis compares costs and benefits: Choices: True / False | True |
| NOT behavioral analytics: Choices: Payroll analytics Online gaming analytics E-commerce analytics Security analytics | Payroll analytics |
| Analytics improves retention and revenue: Choices: True / False | True |
| Best defines data: Choices: Business decisions Processed information Customer behavior Raw facts and figures | Raw facts and figures |
| Analytics involves: Choices: Adjusting records Accessing data Sending alerts Categorizing users | Accessing data |
| Pros and cons replace other tools: Choices: True / False | False |
| Evaluating advantages/disadvantages: Choices: SWOT Decision Matrix Pros and Cons Decision Tree | Pros and Cons |
| Major benefit of DAP: Choices: Centralized insights Reduce storage cost Eliminate analysts Faster collection | Centralized insights |