The two principles that are followed to analyse data efficiently are:1 pointAbsolutes (characterised by data elements that are certainly true) and susceptibles (characterised by data elements that are doubtful)Absolutes (characterised by people, objects, locations and events) and exploitables (what can be extracted from the users)Absolutes (characterised by data elements that are certainly true) and exploitables (what can be extracted from the users)Trustworthiness (characterised by a strict check of data analysts) and reliability (characterised by compliance to strict safety regulations for technology used in the analysis)4.Question 4

Describe three techniques used to validate the accuracy and completeness of data before analysis

.Question 1Fill in the blank: The goal of analysis is to identify _____ within data in order to accurately answer questions and solve problems.1 pointopportunities and risksall possible insightsvalue and meaningtrends and relationships2.Question 2

What is/are the elements to analyse quality of data?Group of answer choicesReadiness & ClarityProperty & RelevanceTimeless & IndependenceAccuracy & Coherence

Which of the following statements accurately describe data? Select all that apply.1 pointThere are no limitations to data, as data measures are standard across users.Data can reveal important patterns, trends, and insights.Data is used to help organizations make more informed decisions.Data is a collection of facts.

Why is it important to clean the data in the data analysis process?To manipulate the dataTo ensure data is collected from reliable sourcesTo identify relevant dataTo filter out useful insights