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BI AND ANALYTICS FINAL EXAM QUESTIONS

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BI AND ANALYTICS FINAL EXAM QUESTIONS

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Uploaded on
December 14, 2025
Number of pages
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Written in
2025/2026
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BI AND ANALYTICS FINAL EXAM QUESTIONS

Enterprise Systems - Answer -Support enterprise-level tasks

Federated Databases - Answer -Independent, self-contained, distributed

Data Warehousing - Answer -A collection of data designed to support decision-making

Data Warehousing Goals - Answer -Uniform enterprise-wide operations view that
permits analysis and forecasting

Data Warehousing Characteristics - Answer -- Long-term data storage
- Time-series data
- Hierarchical data organization

Hadoop - Answer -Programming framework, Big Data

Hadoop Commodity Hardware - Answer -Reduced costs, redundancy, distribution

Three Characteristics of Big Data - Answer -Volume (more data being created),
Velocity (real-time data), Variety (messages, updates, images)

Opportunities of Data - Answer -Improved airline ETA's
Speedier, more personalized data
Accurate predictions, better decisions, precise interventions

HiPPo - Answer -Highest paid person's opinion

Five Management Challenges - Answer -- Leadership (set goals, ask the right
questions)
- Talent Management (data scientists)
- Technology (tools available to handle big data)
- Decision Making
- Company Culture (what do we know)

Bounded Awareness - Answer --Leads people to ignore accessible, perceivable and
important information, while paying attention to other equally accessible but irrelevant
information

6 Realms of Bounded Awareness - Answer -Inattentional blindness
Failure to notice obvious change
Tendency to focus on only a part of a problem
Groups
Strategic decisions
Auctions

, Data Analytics Revolution - Answer -Transforms how companies organize, operate,
manage talent, and create value.

Purpose-Driven Data - Answer -Ask the right questions
Think really small, and really big
Embrace taboos
Connect the dots

Ask the Right Questions - Answer -How can we increase revenues? How can we
improve productivity of each member of our team?

Think really small, and really big - Answer -The smallest edge can make the biggest
difference. Being articulate and making small changes for big improvements

Embrace Taboo - Answer -Don't ignore free-text maintenance reports, power-point
presentations, soft data

Connect the Dots - Answer -Don't drill down on a single data set in isolation and fail to
consider what different data sets convey in conjunction

From Outputs to Action - Answer -Run loops, not lines
Make your output usable
Build a multi-skilled team
Make adoption your deliverable

Run Loops, Not Lines - Answer -Data Analytics need a plan and a purpose. OODA loop
(observe, orient, decide, and act)

Make Your Output Usable - Answer -Be able to communicate your analytical findings in
a boardroom or presentation

Build a Multi-Skilled Team - Answer -Decisions about which analyses to employ, what
data sources to mine, and how to present the findings are matters of human judgement

Make Adoption Your Deliverable - Answer -Companies must embed analytics in the
operating models of real-world processes and day-to-day work flows

Inattentional Blindness - Answer -People have a broad tendency not to see what they
are looking directly at when focused on another issue

Change Blindness - Answer -The tendency to miss changes in their immediate visual
environment

Focalism - Answer -Tendency to focus too much on an event and too little on other
events that are likely to occur concurrently

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