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)

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

What methods do traditional approaches to data analysis rely on?Unstructured data with manual inputsStructures data with ITUnstructured data with intuitive decision makingNone of the above

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

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

Which of the following is a primary goal of data analysis?Data CollectionData VisualizationDecision MakingData Cleaning