Section 1: Foundations and The Goal of Analytics

1. According to Jeff Bezos's philosophy cited in Chapter 0, what should managers focus on in a world of constant technological change?
   • A) The latest AI trends
   • B) Things that do not change
   • C) Maximizing cloud compute speed
   • D) Replacing human intuition with algorithms
2. The "Trough of Disillusionment" is a phase in which conceptual model?
   • A) The Business Analytics Model (BAM)
   • B) The IDgRO Framework
   • C) The Gartner Hype Cycle
   • D) The Strategy Triangle
3. What is the fundamental goal of analytics as defined in the text?
   • A) To produce accurate and beautiful dashboards
   • B) To build a robust data warehouse
   • C) To reduce uncertainty in decision-making
   • D) To automate all manual business processes
4. In the Bill Gates "paper tower" analogy, how much data traffic does the average internet user generate daily today?
   • A) 700 megabytes
   • B) 1.4 gigabytes
   • C) 143 gigabytes
   • D) 1.8 zettabytes
5. What is "behavioral exhaust"?
   • A) The physical heat generated by server farms
   • B) Rich logs of metadata and context generated by digital actions
   • C) The fatigue experienced by analysts cleaning messy data
   • D) The CO2 emissions of cloud computing providers
6. The "Compliance Floor" refers to:
   • A) The minimum technical skills required for a data analyst
   • B) Mandatory data analysis driven by regulatory requirements (taxes, audits)
   • C) The physical security protocols of a data center
   • D) The ethical boundaries of AI development
7. A "Data Prosumer" is a manager who:
   • A) Only consumes reports provided by IT
   • B) Focuses exclusively on producing code
   • C) Actively produces analytical questions and consumes insights to generate new questions
   • D) Outsources all data tasks to professional consultants
8. How do OKRs (Objectives and Key Results) differ from traditional MBOs (Management by Objectives)?
   • A) OKRs are designed for slower, annual industrial cycles
   • B) OKRs separate the ambitious "what" from the measurable "how" and are designed for high-velocity environments
   • C) MBOs are always transparent to the entire organization
   • D) OKRs are primarily used for regulatory compliance
9. Being "data-driven" means that:
   • A) An organization has a large volume of data
   • B) Data is the primary mechanism for settling disagreements and making decisions
   • C) All decisions are made automatically by algorithms without human intervention
   • D) Every employee has access to a Tableau license
10. Research from the MIT Center for Collective Intelligence suggests humans are most valuable in "human-Al teams" for tasks requiring:
    • A) Pure decision-making and forecasting
    • B) Simple arithmetic calculations
    • C) Creativity and context
    • D) Routine data entry

Section 2: Aligning Analytics with Business Strategy

1. The "Strategy Triangle" requires alignment between which three points?
   • A) Data, Models, and Reports
   • B) Business Strategy, Organizational Strategy, and Information Strategy
   • C) Revenue, Profit, and Market Share
   • D) IT, Marketing, and Finance
2. According to Theodore Levitt, managers don't want the "drill" (tools), they want the "hole," which in analytics represents:
   • A) A clean SQL database
   • B) A Python script
   • C) The reduction of uncertainty in a specific decision
   • D) A cloud storage bucket
3. A "Core Competency" is defined as a function that:
   • A) Can be easily outsourced to a cheaper vendor
   • B) Is the soul of a firm's competitive advantage and cannot be outsourced
   • C) Is strictly technical in nature
   • D) Relates only to the "Compliance Floor"
4. In the Value Discipline Model, a company like Walmart or Amazon primarily focuses on:
   • A) Product Leadership
   • B) Customer Intimacy
   • C) Operational Excellence
   • D) Regulatory Arbitrage
5. If a company competes on "Customer Intimacy," its analytics focus should be:
   • A) A microscope focusing on waste reduction
   • B) A laboratory focusing on R&D
   • C) A mirror focusing on seeing the customer clearly and predicting desires
   • D) A shield focusing on data security
6. What is the "Analytics Errand"?
   • A) The physical process of moving servers
   • B) Disciplined translation of a strategic desire into a low-level data requirement
   • C) Sending a junior analyst to fetch reports from the IT department
   • D) Buying new AI software from a vendor