3) Which of the following report provides details behind the summary values on a key indicator? * Analytical report Drill-down report Exceptional report Adhoc report

Q: Describe the concept of data quality assessment. What methods and tools can organizations use to…

A: In this question concept of data quality assessment needs to be explained along with tools and…

Q: Explain why JAD is a recommended strategy for eliciting requirements when the selection approach is…

A: Solution: JAD is abbreviated as joint application design it is used  to collect the  business…

Q: Explain why auditors should be familiar with the principle of data normalization. Please give…

A: Introduction: Here we are required to explain why auditors should be familiar with data…

Q: Can you provide me a sample data analysis of SPSS in regards to the write up about spss!

A: - We need to provide a sample data analysis of SPSS.

Q: Why additional attributes should be included to increase the classification accuracy

A: Why additional attributes should be included to increase the classification accuracy

Q: Which key differences exist between operational and decision-making data

A: Decision-Making Data: It is the organization's most important component.  Data-driven decision…

Q: I. What kinds of tools would be used in the following phases, and for which kinds of use scenarios?…

A: Data preparation is the way towards cleaning and changing crude information preceding preparing and…

Q: What is metric? Who analyses it? Why is it important? Explain the metrics for the analysis model.

A: The development of the analysis model is the first step in software engineering's technical work. It…

Q: Do you have any specific recommendations for tracking data flows?

A: Intro Data flow documentation or a data flow diagramDespite the fact that all data-flow diagrams…

Q: How does a DBA function in terms of management? As a manager, what are your duties? and the DBA's…

A: Following are DBA's management responsibilities: The DBA is in the charge of resource coordination,…

Q: How would you stratify data by Who, What, Where and When in order to help identify the cause or…

A: STRATIFICATION : Stratification is defined as the act of sorting data, people, and objects into…

Q: 7. Give an example of how ordinal data may be gathered during a usability test.

A: Usability test:A usability test is a method used to evaluate the usability and user experience of a…

Q: What are the most relevant differences between operational and decision support data?

A: Operational and decision support data differ in 3 main ways 1. Time Span 2. Granularity 3.…

Q: A report must include all of the information contained in the records of the underlying table on…

A: "virtual tables" are often referred to as VIEWs, as they are "virtual tables" in the sense that they…

Q: Please provide an example of what is meant by the term "Key Attribute."

A: Given that : Crucial CharacteristicA data item or a value that is used to identify a record in a…

Q: Explain the concept of data profiling in the context of data warehousing. How does data profiling…

A: Data profiling is a critical process in the context of data warehousing that involves examining and…

Q: Are there any types of applications that should only be purchased rather than obtained through a…

A: In the modern era of technology, businesses and individuals are constantly seeking more efficient…

Q: A report must contain all the information found in the records of the underlying table on which it…

A: A report is subset of data available in table.  A person can get all details.

Q: Five flaws and inconsistencies that are often observed in operational data should be included below

A: Given: Below are five defects and discrepancies that are frequently detected in operational data.

Q: A report must include all of the information included in the records of the underlying table on…

A: The answer is

Q: provide an example of what is meant by the term "Key Attribute."

A: A key in DBMS is a attribute or a set of attributes that assistance to particularly recognize a…

Q: All of the quality attribute-specific criteria are justified in light of your proposed architecture.

A: Defining the term "testability" Other "ilities" such as dependability, maintainability, and…

Q: Briefly explain change models.

A: The change model helps to identify potential areas of resistance and implement strategies designed…

Q: In light of your suggested architecture, all of the quality attribute-specific requirements are…

A: The qualifying of the functional requirements is understood to be the definition of the quality…

Q: Do you have any specific recommendations for tracking data flows?

A: Introduction: Data flow documentationDespite using the same symbols and validation rules, there are…

Q: All of the quality attribute-specific criteria are justified in light of your proposed architecture.

A: Explanation: A system's software architecture is heavily influenced by quality attribute…

Q: Do you have any specific recommendations for tracking data flows?

A: Introduction: Data flow documentationDespite using the same symbols and validation rules, there are…

Q: Explain the concept of "data profiling" in data warehousing. How does data profiling contribute to…

A: Data profiling is a process in the field of data warehousing. It involves examining data to…

Q: Do you have any specific recommendations for data flow tracking?

A: Data flow tracking is fundamental to software development and system design, mainly when working…

Q: Do you have any specific recommendations for tracking data flows?

A: Introduction: Data flow documentationDespite using the same symbols and validation rules, there are…

Q: To be deemed complete, a report must include all of the information included in the records of the…

A: The record source of a report is used for determining which fields from your database can be…

Q: Do you have any specific recommendations for tracking data flows?

A: Data flow documentation or a data flow diagram Despite the fact that all data-flow diagrams utilise…

Q: In light of your suggested architecture, all of the quality attribute-specific requirements are…

A: The functional requirements are qualified by the quality attribute criteria. Some of the qualities…

Q: For the sake of pinpointing root causes, how would you organize data based on Who, What, Where, and…

A: STRATIFICATION: Classifying information, individuals, and things into various categories or levels…

Q: Of the three methods listed below, which one do you think is most valuable and why? Data tables…

A: Goal seek is the most valuable methods of the above three because goal seek helps you to get the…

Q: How would you arrange Who, What, Where, and When data to find underlying causes? Why these…

A: STRATIFICATION: Classifying information, individuals, and things into various categories or levels…

Q: What exactly is metric? Who examines it? What is the significance of this? Describe the metrics used…

A: Introduction: The creation of an analysis model is the initial stage in the technical activity of…

Q: Prepare a presentation summarizing JAD and RAD. Explain how they differ from traditional…

A: Introduction: JAD (Joint Application Development): One of the Team Based Approaches is JAD. It is a…

Q: In what ways does a typical test report look? In what ways can test reports help you?

A: A test report is a well organized overview of the testing activities, goals and outcomes. It was…

Q: Explain the concept of drill-through and drill-down in OLAP analysis. Provide examples of when each…

A: In OLAP (Online Analytical Processing) analysis, drill-through and drill-down techniques play a…

Q: There are six factors that may be used to assess data quality

A: - We need to highlight the factors that may be used to access the data quality.

Q: What factors contribute to the unreliability of the data? Give a quick explanation of each.

A: Solid modeling is a powerful technique used by designers to create three-dimensional models of…

Q: The performance set may be a single cell or range of cells in some kind of excel analysis A)…

A: A selection refers to a set of cells.Scope does not have a single cell.

Fundamentals of Big Data Analytics

Big data analytics is the process of using advanced analyzing techniques against huge variant data sets to uncover hidden pattern or knowledge. It helps in organization's decision making process. Big data can be organized in any of the following formats.