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Business Intelligence and Analytics Final Exam questions with correct answers respectively.
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Business Intelligence and Analytics Final Exam questions with correct answers respectively.
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Business Intelligence and AnalyticsFinal Exam questions with correct
answers respectively.
Enterprise Systems ANS - Support enterprise-level tasks
Federated Databases ANS - Independent, self-contained, distributed
Data Warehousing ANS - A collection of data designed to support decision-making
Data Warehousing Goals ANS - Uniform enterprise-wide operations view that permits analysis and
forecasting
Data Warehousing Characteristics ANS - - Long-term data storage
- Time-series data
- Hierarchical data organization
Hadoop ANS - Programming framework, Big Data
Hadoop Commodity Hardware ANS - Reduced costs, redundancy, distribution
Three Characteristics of Big Data ANS - Volume (more data being created), Velocity (real-time data),
Variety (messages, updates, images)
Opportunities of Data ANS - Improved airline ETA's
Speedier, more personalized data
Accurate predictions, better decisions, precise interventions
,HiPPo ANS - Highest paid person's opinion
Five Management Challenges ANS - - 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 ANS - -Leads people to ignore accessible, perceivable and important information,
while paying attention to other equally accessible but irrelevant information
6 Realms of Bounded Awareness ANS - Inattentional blindness
Failure to notice obvious change
Tendency to focus on only a part of a problem
Groups
Strategic decisions
Auctions
Data Analytics Revolution ANS - Transforms how companies organize, operate, manage talent, and
create value.
Purpose-Driven Data ANS - Ask the right questions
Think really small, and really big
Embrace taboos
Connect the dots
Ask the Right Questions ANS - How can we increase revenues? How can we improve productivity of
each member of our team?
, Think really small, and really big ANS - The smallest edge can make the biggest difference. Being
articulate and making small changes for big improvements
Embrace Taboo ANS - Don't ignore free-text maintenance reports, power-point presentations, soft data
Connect the Dots ANS - 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 ANS - Run loops, not lines
Make your output usable
Build a multi-skilled team
Make adoption your deliverable
Run Loops, Not Lines ANS - Data Analytics need a plan and a purpose. OODA loop (observe, orient,
decide, and act)
Make Your Output Usable ANS - Be able to communicate your analytical findings in a boardroom or
presentation
Build a Multi-Skilled Team ANS - 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 ANS - Companies must embed analytics in the operating models of
real-world processes and day-to-day work flows
Inattentional Blindness ANS - People have a broad tendency not to see what they are looking directly at
when focused on another issue
Change Blindness ANS - The tendency to miss changes in their immediate visual environment
Focalism ANS - Tendency to focus too much on an event and too little on other events that are likely to
occur concurrently
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