Answer Happy

. • What does data analytics help to extract from data and what is it used for? • What are some problems or questions that accountants need to ask that data analytics can help solve? • With data analytics, accountants can add value by helping a business to do what? • What are some examples of how accountants can use data analytics? • What is data analytics? • What is the general process of data analytics? • What is the life cycle of data analytics? • What does ETL mean? • What are the four main types of data analytics and what do each focus on? • What are the two general techniques used in descriptive analytics? . Of the two techniques used in descriptive analytics, which is the most commonly used? • Which type of data analytics is used to get information about relationships and sequences that exist within data? • Which type of data analytics is used in sentiment analyses used on social media, shopping, and the weather? • What is the difference between predictive and prescriptive analytics? • Must the four types of data analytics be performed in sequence? • Which of the four type of data analytics is considered to be the budding stage of development that will become more prominent in the future as it develops? • In the Amazon example, what did data analytics determine was the reason why revenues in the West Coast increased?

• What are some ways companies can benefit from using data analytics? • In what ways can data analytics help define target audiences? • In the Amazon example, what is the major thing that they do that enables them to reduce the costs of providing their products? . Besides impact to cost, what are some other benefits that can be attributable to data analytics? • What is an observation? • What is data sampling? • Why would a sample be used in data analytics? • What is a dataset? • What are the three types of data and what are examples of each? . Most of data a company has is what type of data (i.e., of the three types)? • Is there a clean line of distinction between structured and unstructured data? • What type of data is not well suited for transaction processing? What is it used for? • What is qualitative data? What are some its characteristics? What are its two subgroups and an example of each? • What is quantitative data? What are some its characteristics? What are its two subgroups and an example of each? • What are the four data levels of measurement? • What is a normal distribution of data? What are some other names used for this type of distribution? What types of data follow this type of distribution? • What are the three main statistical parameters that were mentioned? .

• What is data visualization? • What are some benefits for using data visualizations? • What are the three types of visualizations mentioned? • What is exploratory data analysis? • What are some software tools that can be used to create data visualization? Which is the most widely used? Which one is provided by Microsoft? • What are some popular programing languages that can be used to create data visualizations? • What is a dashboard? • To be effective for business, a dashboard should have what characteristics? • What are the general steps to create a dashboard? • What is data science and what does it involve? What is machine learning? • What is the difference between a data scientist and a data analyst? • What does a data scientist do? • What is the general flow when working as a data scientist? What is the most challenging part? • What Google feature was mentioned that uses data science? • How does the travel industry use data science? • What are some examples of machine learning algorithms?