BUSINESS FOUNDATION IN BA PRELIM EXAM

financial

In Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the analysis mainly involved structured operational and ____________ data.

lakehouse

In the case study T-Mobile 5G Rollout Business Analytics Case Study Report, the Data Solutions and Analytics division implemented a centralized data ____________ architecture.

visibility

As noted in Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, analytics helped improve the hotel’s ____________ and decision-making.

satisfaction

In the case study Leveraging Business Analytics to Optimize Retail Merchandising Strategize: A Data Driven Approach, business analytics is described as an essential tool to help retailers strengthen customer ____________ in a competitive market.

false

As documented in Predicting Loan Defaults: A Behavioral Scoring Approach for Portfolio Risk Monitoring in Banking and P2P Lending, traditional models resulted in an unacceptably large number of ____________ negative predictions.

high-risk (or high risk)

The case study Predicting Loan Defaults: A Behavioral Scoring Approach for Portfolio Risk Monitoring in Banking and P2P Lending identifies predictive analytics as the most commonly applied method for determining ____________ borrowers.

data

According to Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the hotel management wanted to make decisions using actual ____________ instead of depending on personal memory.

Gold

In the case study T-Mobile 5G Rollout Business Analytics Case Study Report, the ____________ layer holds fully curated, business-ready data.

As stated in T-Mobile 5G Rollout Business Analytics Case Study Report, Microsoft ____________ ____________ is the main visualization tool used to create interactive dashboards.

Power BI

forecasting (or forcasting)

As described in Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the ____________ Dashboard helped the hotel evaluate future demand by comparing previous performance with current bookings.

quotations (or quotation)

According to Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the time required to prepare group ____________ was reduced from hours to minutes.

77

According to Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array, the study developed ____________ key performance indicators to evaluate how wind projects contribute to global goals.

Azure

As stated in T-Mobile 5G Rollout Business Analytics Case Study Report, the transition to ____________ Security groups enhanced data governance.

Bronze

In the case study T-Mobile 5G Rollout Business Analytics Case Study Report, the ____________ layer of the lakehouse holds raw, unmodified data.

serverless

As documented in T-Mobile 5G Rollout Business Analytics Case Study Report, report builders connect to the Gold layer through a ____________ SQL endpoint.

framework

As described in Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array, the proposed indicators provide a practical ____________ for measuring sustainable development.

operational

As stated in Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array, implementing SDG-based metrics or KPI’s can improve ____________ efficiency.

Dynamic

According to Predicting Loan Defaults: A Behavioral Scoring Approach for Portfolio Risk Monitoring in Banking and P2P Lending, the company implemented ____________ Behavioral Scoring Analytics to assess repayment behaviors over time rather than relying on static data.

diagnostic

According to Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the hotel used ____________ analysis to understand the reasons why certain room categories underperformed.

retention

In the case study Leveraging Business Analytics to Optimize Retail Merchandising Strategize: A Data Driven Approach, a major outcome of the study showed that 55% of businesses saw strong improvement in customer ____________.

Big

The project described in Predicting Loan Defaults: A Behavioral Scoring Approach for Portfolio Risk Monitoring in Banking and P2P Lending relied on ____________ Data by utilizing over 2.2 million historical loan records.

11 (or eleven)

In the case study Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the implementation of analytics led to an ____________ percent increase in total revenue during the spring.

Silver

According to T-Mobile 5G Rollout Business Analytics Case Study Report, data that has been cleaned and refined is stored in the ____________ layer.

audit

As stated in Predicting Loan Defaults: A Behavioral Scoring Approach for Portfolio Risk Monitoring in Banking and P2P Lending, using SHAP values supported the creation of an ____________ trail for understanding lending decisions.

visualization

In the case study Predicting Loan Defaults: A Behavioral Scoring Approach for Portfolio Risk Monitoring in Banking and P2P Lending, researchers used ____________ to gain additional knowledge about borrower behavior and demonstrate model functionality.

reverse

According to T-Mobile 5G Rollout Business Analytics Case Study Report, the process of returning or reallocating unused materials is called ____________ logistics.

forecasting

In Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the process of using historical and current data to support decisions about future demand is called ____________.

trends

In the case study Leveraging Business Analytics to Optimize Retail Merchandising Strategize: A Data Driven Approach, the use of analytics helps retailers respond quickly to market ____________ and consumer demands.

12 (or twelve)

According to T-Mobile 5G Rollout Business Analytics Case Study Report, the company's legacy systems were so slow that pulling data for a single report could take more than ____________ hours.

manual

In Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, merchants faced delays in accessing insights due to a heavy reliance on ____________ reporting.

cloud

As stated in Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, the company reduced ____________ operating costs by $1,300 per month.

indicators (or indicator)

According to Business Analytics at KIPIC: Using Power BI for Data-Driven Decision-Making in the Energy Industry, the dashboard monitored measurable ____________ such as crude input to track measurable performance.

centralized

In the case study Business Analytics at KIPIC: Using Power BI for Data-Driven Decision-Making in the Energy Industry, the core business problem involved slow reporting caused by a ____________ IT bottleneck.

data

In the case study Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, the business problem identified was that ____________ was scattered across multiple sources.

action

In the case study Business Analytics at KIPIC: Using Power BI for Data-Driven Decision-Making in the Energy Industry, the combination of apps, automation, and BI created a practical data-to-____________ system.

Average Daily Rate

As documented in Business Analytics Implementation in the Hospitality Industry: A Case Study of Adara Hotel Using Mews Business Intelligence, the acronym ADR stands for ____________ ____________ ____________.

E-ZPass (or EZPass)

In Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data, the tolling infrastructure captured data using license-plate readers and ____________ transponder scanners.

manual

As documented in Business Analytics at KIPIC: Using Power BI for Data-Driven Decision-Making in the Energy Industry, the organization used Microsoft Power BI as its primary visualization tool to replace ____________ spreadsheets.

unstructured

As noted in Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, information like farmer interactions that is not stored in a fixed tabular relation is called ____________ data.

patterns (or pattern)

In the case study Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data, the MTA utilized Descriptive Analytics to summarize and visualize traffic ____________ following the launch of the program.

operational

As concluded in Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, investing in Business Analytics is shown to enhance ____________ performance.

algorithmically (or dynamically)

In Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data, fragmented readings are ____________ stitched into complete vehicle trips to avoid counting a single car multiple times across different sensors.

detection

According to Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, the company uses AI for powered disease ____________ to help farmers identify crop issues.

maps (or map)

The case study Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data highlights that ____________ were used as a visualization tool to distinguish the Congestion Relief Zone from Excluded Roadways.

precision

In Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, ____________ agriculture involves making recommendations based on specific soil and weather conditions.

interactive

As described in Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data, the MTA built ____________ dashboards on its metrics platform to allow users to explore vehicle-entry data by date and time.

historical

In Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, the company uses ____________ data to identify trends and evaluate business performance.

increase

According to Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, merchants saw an average ____________ in website revenue of 87 percent.

720

In the case study Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, the automation saved approximately ____________ hours of manual reporting daily.

citizen-development (or citizen development)

In Business Analytics Analytics at KIPIC: Using Power BI for Data-Driven Decision-Making in the Energy Industry, KIPIC decentralized analytics by adopting a ____________ approach to software and dashboard development.

seven times (or 7x)

In Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, the solution reduced the time required to retrieve business data by ____________ ____________.

Big Data

In the case study Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, the scale of Shopee’s operations allows the information to be classified as ____________ ____________.

forecasting

In the case study Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, analytics helps with demand ____________ to ensure adequate preparation of products.

fine particulate (or particulate matter)

The case study Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data reports that ____________ ____________ dropped by 22 percent as a measurable environmental impact.

summarizing

In Business Analytics Implementation in E-Commerce: A Case Study of Shopee's Merchant Data Platform with Google Analytics 360, the system focused on ____________ and presenting business data rather than predicting future trends.

information

In Business Analytics at KIPIC: Using Power BI for Data-Driven Decision-Making in the Energy Industry, the analytics solutions allowed for ____________ accessibility because executives no longer needed to sift through many individual files.

4 (or four)

In the case study Application of Business Analytics in Agriculture: A Case Study of AgroStar's Digital Farming Platform, service response time was significantly reduced to ____________ minutes.

line

In Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data, visualizations like ____________ charts were used to show ten-minute vehicle entry trends throughout the day.

granular

According to Evaluating Urban Traffic Behavior and Congestion Relief through Open Big Data, the core dataset released for public use is described as structured and highly ____________.