Implementing Analytic Solution Lesson 5A BSIT 2A

What are the core roles within an analytics team?

• Data preparation, data quality verification, data understanding, data integration

• Data scientist, data analyst, data engineer, data architect

• Data collection, data exploration, data preparation, data visualization

• Data governance, data privacy, data access, data uniqueness

What is the purpose of opportunity assessment and feasibility analysis in business analytics?

• To evaluate the potential success and practicality of an analytics project

• To prepare data for analysis

• To identify source systems and collect data

• To determine business objectives and project plan

What are the common applications of analytics mentioned in the text?

• Financial Services, Retail, Manufacturing, Hospitality

• Energy, Transportation, Communication, Health Care

• Government, Online, Data Integration, Data Quality Verification

• Data Before Analytics, Data through the stages, Skipping Steps or Accelerating Progress, Governance

What are the three methods of structuring data for analysis mentioned in the text?

• Data cubes, Data arrays, Unstructured, nonnumeric data

• Data governance, Data privacy, Data uniqueness

• Data integration, Data quality, Data access

• Data before analytics, Data through the stages, Skipping steps or accelerating progress

What is the purpose of data integration in business analytics?

• To aggregate data from multiple sources inside and outside an organization

• To gather a lot of information about the entities

• To separate data from transaction-oriented applications

• To generate significant cost savings from speeding decisions

Why is data quality verification important in data preparation?

• To translate the business questions to analytics goals

• To estimate costs for data collection

• To analyze properties of interesting attributes in details

• To identify missing attributes and blank fields

What is the purpose of establishing your ambition in the context of data analytics?

• To formalize the methods of finding high-impact business opportunities

• To identify source systems and collect data

• To focus on important targets and raise your ambition in those areas

• To generate significant cost savings from speeding decisions

What is the significance of data access in the context of data analytics?

• It is critical for organizations that want to be more analytical

• It suggests that some humans are more important than others in managing data

• It is the last frontier for data analysis

• It is the first step in the data space

What is the purpose of data before analytics in the context of data management?

• To get data in order before conducting analysis

• To skip a step or two, or move quickly through a stage

• To keep in mind that most data is originally gathered for transactional purposes

• To generate significant cost savings from speeding decisions

What are the benefits of conducting a systematic inventory in the context of data analytics?

• To generate significant cost savings from speeding decisions, eliminating steps, or selecting the best process variation

• To focus on important targets and raise your ambition in those areas

• To identify source systems and collect data

• To generate significant cost savings from speeding decisions