Business Analytics Exam Part 1

What does business analytics typically begin with?

• A complex algorithm

• A data set or a database

• A business report

• A cloud storage service

What is a database?

• A collection of unrelated files

• A collection of data files containing information on people, locations, etc.

• A single document with customer details

• A software that deletes unnecessary data

Why are technologies like cloud computing and data warehousing important?

• They provide storage and enable data retrieval and analysis

• They replace traditional business operations

• They delete unnecessary customer data

• They increase manual data processing

What term describes a collection of large and complex data sets that are difficult to process using traditional software?

• Small data

• Meta data

• Big data

• Fast data

What is the main purpose of big data analytics?

• To reduce the size of databases

• To sort through large amounts of data to find useful information

• To create more complex data sets

• To store customer details in a spreadsheet

What is "little data" used for?

• Large-scale market analysis

• Small data segments that help businesses track customers

• Cloud computing functions

• Eliminating outdated information

What is the role of data warehousing in business analytics?

• It stores and manages large sets of business data for analysis

• It deletes unnecessary business records

• It converts paper records into digital format

• It prevents businesses from accessing customer information

What challenge is associated with big data?

• It cannot be stored in databases

• Software systems struggle to process large and complex data sets

• It only applies to small businesses

• It is rarely used in analytics

How does business analytics find new purpose in data?

• By sorting through data to extract useful information

• By increasing the amount of stored data

• By eliminating customer records

• By reducing the need for cloud storage

What is the key difference between big data and little data?

• Big data is used by small businesses, while little data is used by large businesses

• Big data is too complex for standard processing, while little data helps businesses track customers

• Big data is stored in traditional databases, while little data is not

• Big data has no practical use in business analytics