Half Term Quiz

Which among the choices is the objective of Business Intelligence?

• Its goal is to show how the business is going and achieving better decisions faster.

• It aims to show how the all the information about the business.

• Its goal is to computerized all the business transactions.

• It helps the owner to check on employees who are performing well and not.

TRUE OR FALSE

BI needs methods and programs to collect data and convert them into information to provide means to business owner to arrive to a better business decision.

• TRUE

• FALSE

Posts on social media is an example of unstructured data. However, it cannot be used as part of data needed in Business Intelligence.

• TRUE

• FALSE

Business intelligence (BI) is a broad category of application programs which includes

• Decision support
• Data mining
• OLAP
• All of the mentioned

Point out the correct statement

• OLAP is an umbrella term that refers to an assortment of software applications for analyzing an organization’s raw data for intelligent decision making
• Business intelligence equips enterprises to gain business advantage from data
• BI makes an organization agile thereby giving it a lower edge in today’s evolving market condition
• None of the mentioned

What type of data is stored in a Data Warehouse?

• Structured Data

• Unstructured Data

• Semi-structured Data

• Raw Data

What are the characteristics of Big Data in BI analysis?

• Process structured data by sorting, grouping, summing, filtering, and formatting

• Use sophisticated statistical techniques

• Volume, velocity, and variety force use of MapReduce techniques

• Printed (static) and dynamic reports

What is the purpose of data mining?

• To use a prior model to compute the outcome

• To start with a prior hypothesis or model

• To understand (explore) data

• To predict using multiple linear regression

What is an artificial neural network?

• A programming language used for web development.

• A type of computer virus.

• A method for organizing files on a computer.

• A computational model inspired by the structure and function of biological neural networks in the brain.

What is supervised learning in artificial neural networks?

• Supervised learning is a type of machine learning where the model is trained using unlabeled data.

• Supervised learning is a type of machine learning where the model does not require any training.

• Supervised learning is a type of machine learning where the model is trained using reinforcement learning techniques.

• Supervised learning is a type of machine learning where the model is trained using labeled data.