Help
Options
Didn't know it?
click below
click below
Knew it?
click below
click below
Don't Know
Remaining cards (0)
Know
retry
shuffle
restart
0:00
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
BA
| Question | Answer |
|---|---|
| Competition affects analytics because: | Rivals also use data |
| Which question is prescriptive? | What action should we take? |
| Which question is predictive? | What will happen? |
| Which cannot be measured easily? | Happiness |
| “Sales dropped due to late deliveries” is an example of: | Diagnostic |
| “Sales dropped by 10% last quarter” is an example of: | Descriptive analytics |
| Which analytic type asks ‘Why did it happen?’ | Descriptive |
| Business Intelligence answers mainly: | What happened? |
| Analytics helps reduce: | Uncertainty |
| Which field does analytics NOT apply to? | None; analytics applies everywhere |
| Netflix recommending movies is an example of: | Predictive analytics |
| Which is NOT a challenge of analytics? | Strong internet connection |
| Business Analytics answers: | How to improve decisions |
| In the pandemic, analytics helped DOH to: | Track infection rates |
| Shopee analyzing customer purchase behavior is an example of: | Business Analytics |
| Business Analytics focuses on: | Improving business performance |
| Which is required for analytics success? | All of the above |
| When analytics is NOT practical: | When there is no data |
| KPIs are also known as: | Metrics |
| Predictive analytics is closest to: | Forecasting |
| Analytics transforms data into: | Insights |
| Which analytic type asks ‘Why did it happen?’ | Diagnostic |
| Grab succeeds using analytics by: | Analyzing rider–driver data |
| Which tool is used in analytics? | Power BI |
| Shopee analyzing customer purchase behavior is an example of: | Business Analytics |
| Which question is prescriptive? | What action should we take? |
| Analytics helps reduce: | Uncertainty |
| “Sales are expected to rise next month” is an example of: | Predictive |
| Which situation shows “no precedent”? | Predicting pandemic demand |
| What is the main purpose of analytics? | To use data to gain insights |
| BI mainly focuses on: | Reporting what happened |
| “Offer 20% discount to boost sales” is an example of: | Prescriptive analytics |
| Which question is prescriptive? | What action should we take? |
| “Sales dropped due to late deliveries” is an example of: | Diagnostic |
| MMDA using Waze data to plan rerouting is: | Government analytics |
| Grab succeeds using analytics by: | Analyzing rider–driver data |
| “Most buyers prefer COD” is an example of: | Insight |
| In the pandemic, analytics helped DOH to: | Track infection rates |
| What is the main goal of execution and measurement? | Put analytics into action and track results |
| Analytics insights must be actionable to create real value. | True |
| A company that lacks skilled human capital will likely: | Struggle to execute analytics projects |
| Which pillar of analytics ensures insights are transformed into intelligence? | Execution and measurement |
| What is the first step in the analytics solution life cycle? | Define |
| Which of these is a facilitator for successful analytics? | Integrated processes |
| Distributed knowledge means keeping analytics insights within one department. | False |
| Which of the following best represents a driver for analytics implementation? | Strategy and commitment |
| Analytics leaders must champion their vision across the organization. | True |
| An analytics implementation strategy must focus on addressing business priorities. | True |
| Analytics culture values: | Both positive and negative results |
| Business analytics should be directly linked to KPIs to track impact. | True |
| Integrated processes help optimize analytics success across the organization. | True |
| Outside-In Thinking is mainly concerned with: | Competitor and industry trends |
| Seeking data instead of stories ensures that: | Decisions are evidence-based |
| Inside-Out Thinking in identifying business opportunities focuses on: | Internal business processes and decisions |
| Which of these is considered a business challenge that analytics can solve? | Increase market share |
| Prescriptive analytics recommends the best course of action based on insights. | True |
| Which KPI can measure customer retention? | Percentage of repeat customers |
| Gut instinct should replace evidence in analytical cultures. | False |
| Which of the following is an example of prescriptive analytics? | Recommending which promotion will increase sales |
| Change management is critical to reinforce analytics adoption in organizations. | True |
| Analytics should be implemented without considering the customer experience. | False |
| Prescriptive analytics recommends the best course of action based on insights. | True |
| Analytics insights must be actionable to create real value. | True |
| Which of the following is a risk if an analytics project lacks executive sponsorship? | Project will likely fail or lose momentum |
| Descriptive analytics answers the question: | What happened? |
| Analytics should transform data into: | Insight and intelligence |
| Commitment from other functional groups in analytics projects ensures: | Adequate resources and support |
| Inside-Out Thinking in identifying business opportunities focuses on: | Internal business processes and decisions |
| Which of the following describes “searching for the truth” in an analytics culture? | Using data to find what really drives business |
| Analytics is only useful for predicting future outcomes. | False |
| Which KPI can measure revenue growth from existing customers? | Wallet share |
| Outside-In Thinking is mainly concerned with: | Competitor and industry trends |
| Making data as granular as possible helps: | Identify patterns and variations more precisely |
| Only executives need to understand analytics in a company. | False |
| Integrated processes help optimize analytics success across the organization. | True |
| Business analytics should be directly linked to KPIs to track impact. | True |
| Descriptive analytics answers the question: | What happened? |
| A key characteristic of an analytical culture is: | Searching for the truth and patterns in data |
| Which of the following is NOT a critical component of a successful analytics solution? | Employee personal opinions |
| Innovation in analytics involves both analytical methods and organizational impact. | True |
| Analytics should ideally be communicated to: | As broad a group of stakeholders as appropriate |
| Which of these is considered a business challenge that analytics can solve? | Increase market share |
| Human capital skills such as machine learning and data mining are enablers of analytics success. | True |
| What is the purpose of the DELTA model? | To assess analytical capability of an organization |
| Which of the following is a key enabler in analytics success? | Human capital skills |
| A strong data foundation is optional if the team has skilled analysts. | False |
| Analytics should transform data into: | Insight and intelligence |
| What is the main goal of execution and measurement? | Put analytics into action and track results |
| Which pillar of analytics ensures insights are transformed into intelligence? | Execution and measurement |
| Which KPI can measure customer retention? | Percentage of repeat customers |
| Analytics culture can exist without collaboration between departments. | False |
| Data visualization is only useful for aesthetic purposes. | False |
| Negative results in analysis are as valuable as positive results. | True |
| What is the primary purpose of aligning analytics projects to business challenges? | To ensure analytics projects deliver business value |
| Which of the following is NOT a critical component of a successful analytics solution? | Employee personal opinions |
| Descriptive analytics answers the question: | What happened? |
| A company that lacks skilled human capital will likely: | Struggle to execute analytics projects |
| Seeking data instead of stories ensures that: | Decisions are evidence-based |
| A strong data foundation is optional if the team has skilled analysts. | False |
| Commitment from other functional groups in analytics projects ensures: | Adequate resources and support |
| Inside-Out Thinking focuses on competitor benchmarking. | False |
| Which of the following is non-volatile? | Data warehouse |
| Which of the following is an example of data warehouse use? | Tracking historical sales trends |
| database is: | Collection of computer files containing structured information |
| decision model is: | Abstraction or representation of a real system to aid decisions |
| Prescriptive analytics helps organizations find the best possible actions. | True |
| Data warehouses are time-variant, storing historical data. | True |
| ________ analytics provides Business Intelligence (BI) insights into what has happened. | DESCRIPTIVE |
| A ________ is a single, complete store of data from multiple sources used for analysis. | DATA WAREHOUSE |
| Information comes from: | Collecting data only |
| Which of the following best defines data? | Raw facts and figures |
| Descriptive analytics is mainly concerned with the future. | False |
| analytics type describes “what has happened”? | Descriptive |
| Data includes all of the following except: | Employee salary alone |
| Cloud computing is used for remote storage and computation of data. | True |
| Decision models only exist as spreadsheets. | False |
| storage in analytics is used to: | Store data remotely and access it anytime |
| analytics can use: | Optimization models |
| analytics often uses: | Historical data and statistical algorithms |
| Big data includes both structured and unstructured data. | True |
| Which of the following is not a feature of a data warehouse? | Real-time transactional updates |
| Which of the following is an example of predictive analytics? | Forecasting customer churn next month |
| ________ analytics recommends the best course of action. | PRESCRIPTIVE |
| ________ is the process of examining data to extract insights and inform decisions. | ANALYTICS |
| step is not part of the six-step problem-solving process? | Ignoring the data |
| Linear demand models assume demand decreases as price increases. | True |
| Descriptive analytics is mainly concerned with the future. | False |
| A data warehouse integrates data from multiple sources. | True |
| Cloud computing is used for remote storage and computation of data. | True |
| ________ is the abstraction or representation of a real system used to aid decision-making. | DECISION MODEL |
| Which of the following is an example of prescriptive analytics in retail? | Suggesting the best discount combination to maximize profit |
| storage in analytics is used to: | Store data remotely and access it anytime |
| in prescriptive analytics refer to: | Limitations on decision variables |
| Prescriptive analytics does not consider constraints or trade-offs. | False |
| Constraints of the following is a benefit of business analytics? | Improving decision-making |
| Model management is unnecessary in analytics deployment. | False |
| A subject-oriented data warehouse is organized by: | Business topic, like sales or customers |
| A data warehouse integrates data from multiple sources. | True |
| ________ is the abstraction or representation of a real system used to aid decision-making. | DECISION MODEL |
| data in a warehouse means: | Data from multiple sources is combined consistently |
| Model management is unnecessary in analytics deployment. | False |
| analytics can use: | Optimization models |
| Which of the following is non-volatile? | Data warehouse |
| Which of the following is not a feature of a data warehouse? | Real-time transactional updates |
| ________ analytics recommends the best course of action. | PRESCRIPTIVE |
| ________ analytics provides Business Intelligence (BI) insights into what has happened. | DESCRIPTIVE |
| ________ is the process of examining data to extract insights and inform decisions. | ANALYTICS |
| Operational databases are usually non-volatile. | False |
| Prescriptive analytics helps organizations find the best possible actions. | True |
| Which of the following is an example of data warehouse use? | Tracking historical sales trends |
| ________ models predict what might happen in the future and often incorporate uncertainty. | PREDICTIVE |
| Data warehouses are ________-oriented, ________, time-variant, and non-volatile. | SUBJECT INTEGRATED |
| Which of the following is an example of data warehouse use? | Tracking historical sales trends |
| Uncertainty in predictive analytics refers to: | Unknown future outcomes |
| Model management is unnecessary in analytics deployment. | False |
| analytics type is used to forecast future outcomes? | Predictive |
| The main benefit of prescriptive analytics is to optimize ________ and minimize inefficiencies. | DECISIONS |
| A data warehouse is the same as an operational database. | False |
| Data includes all of the following except: | Employee salary alone |
| Cloud computing is used for remote storage and computation of data. | True |
| A ________ is a single, complete store of data from multiple sources used for analysis. | DATA WAREHOUSE |
Created by:
PipoyKuraku