FOUNDATION OF BUSINESS ANALYTICS QUIZ 1

Descriptive Analytics is considered the foundation for all analytics because it summarizes what type of data?

Historical data.

Why does Predictive Analytics matter for strategic decision-making?

It enables organizations to move from reactive to proactive strategies, minimizing risks.

What question does Descriptive Analytics primarily answer?

What happened?

Which step in Descriptive Analytics involves gathering relevant data from diverse sources like sales records and customer surveys?

Data Collection.

Which of the following is listed as a key component of Business Analytics?

Data Collection & Storage.

A challenge in Prescriptive Analytics is "Data Quality & Bias," which involves ensuring data accuracy and fairness to prevent what?

Skewed recommendations.

Analyzing income statements, balance sheets, and cash flow statements to assess a company's financial health is a real-world example of descriptive analytics in what area?

Financial Reporting.

What is the primary role of a Data Scientist in Business Analytics?

Bridging the gap between raw data and actionable business strategies.

What question does Predictive Analytics answer by using historical data to forecast future outcomes and probabilities?

What may happen?

Which type of analytics summarizes past data to understand historical performance?

Descriptive Analytics.

Which type of descriptive analysis measures the spread between minimum and maximum values, such as sales high and low?

Measures of Dispersion (Range).

What question does Prescriptive Analytics answer?

What should we do?

One of the technical requirements for Prescriptive Analytics is "Data Availability," which includes the need for what?

Real-time data feeds and diverse/comprehensive datasets.

The origins of Business Analytics can be traced back to which historical period, where quantitative methods were used for logistical and strategic decision-making?

World War II Operations Research.

Predictive Analytics uses statistical models to forecast what?

Future outcomes.

What technique in Descriptive Analytics involves summarizing large datasets, such as total sales or average grades?

Data Aggregation.

Which type of model in Prescriptive Analytics uses linear, integer, and non-linear programming to find the best possible solution among a set of constraints?

Optimization Models.

Predictive Analytics leverages which of the following to identify patterns?

Statistical modeling, machine learning algorithms, and data mining.

Which of the following is an advantage of Descriptive Analytics?

It is easy to understand and interpret for a wide audience.

What is one of the main purposes of Business Analytics, involving the transformation of raw, complex data into meaningful and actionable insights?

Insight Generation.

Which tool, besides R and Python, is mentioned as a visualization platform that enables data professionals to execute complex analyses?

Tableau.

Which programming languages are listed as industry standards for advanced analytics?

R and Python.

What are IBM SPSS and SAS identified as in the context of Predictive Analytics tools?

Specialized software offering robust commercial solutions.

Business analytics involves the skills and technologies to extract meaningful insights from what kind of data?

Raw data.

What is the primary goal of Business Analytics?

To transform data into effective business decisions.

Which application of Business Analytics involves optimizing pricing, managing inventory, and streamlining supply chains?

Operations Efficiency.

Predicting customer churn, inventory demand, and identifying potential fraud risks are strategic applications of which type of analytics?

Predictive Analytics.

One of the "Visible Challenges" in Business Analytics implementation is ensuring what?

Data quality and sufficient volume.

Which aspect of business performance does statistical analysis in business analytics help to understand?

Past business performance.

Cleaning, transforming, and organizing raw data to ensure accuracy and consistency is part of which key step in Descriptive Analytics?

Data Preparation.