Question

1. How do BI solutions help improve operational performance? a. The help reduce inefficiencies that arise from managers spending excessive time acquiring information and not enough time understanding and interpreting the information. b. They help reduce inefficiencies that arise from managers spending excessive time reading their e-mail each day, talking on the phone, and taking long lunches. c. They help managers assign more people to work on customer-oriented processes. d. They facilitate new insights through the discovery of unknown patterns, correlations, and trends. e. None of the above 2. How does structured information differ from unstructured information? a. Structured information is never machine-readable. b. Unstructured information is designed by humans for machines. c. Structured information is information that has been mechanized by the organization. d. Structured information is designed by humans for humans and is easy to create and consume. e. None of the above

Answer 1

Answer: refer below

Explanation: 1. The correct option is d. They facilitate new insights through the discovery of unknown patterns, correlations, and trends. Business Intelligence (BI) solutions help improve operational performance by providing data analysis tools and techniques that enable organizations to gain valuable insights from their data. These solutions allow for the identification of patterns, correlations, and trends in data that may not be apparent through traditional manual analysis methods. By uncovering these insights, managers can make informed decisions, optimize processes, and improve overall operational performance.

Options a, b, and c are not accurate because BI solutions do not directly address inefficiencies related to time management, personnel allocation, or customer-oriented processes.

2. The correct option is e. None of the above. None of the provided options accurately describes the difference between structured and unstructured information.

Structured information refers to data that is organized and formatted according to a specific model or schema. It is typically machine-readable and follows a predefined set of rules or standards. Examples include data stored in databases, spreadsheets, or structured files, where information is organized into fields and records.

Unstructured information, on the other hand, refers to data that does not follow a specific format or organization. It lacks a predefined structure and can be more challenging to process and analyze automatically. Examples of unstructured information include text documents, emails, social media posts, audio files, images, and video content.

It's important to note that structured information can be machine-readable, and unstructured information is not specifically designed by humans for machines. Structured information can be created by humans or generated automatically through systems, while unstructured information is typically created by humans but may also be generated by machines.