Ch. 12 - Business Analytics and Power BI Flashcards

1
Q

business analytics (BA)

A
  • developing actionable decisions or recommendations

- examines data, formulates analytical models, communicates to decision makers

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2
Q

business intelligence (BI)

A
  • applications, technologies + processes for gathering, storing, accessing, and analyzing data
  • help business users make better decisions
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3
Q

roles of manager (Mintzberg)

A
  • interpersonal
  • informational
  • decisional
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4
Q

why is decision making difficult?

A
  • increasing # of alternatives
  • most decisions must be made under time pressure
  • increased uncertainty in decision environment, making it more difficult
  • often necessary to rapidly access remote information, consult with experts, or conduct a group decision-making session
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5
Q

framework for computerized decision analysis

A
  • problem structure (structured, semi-structure, unstructured)
  • nature of decisions (operational/management control, strategic planning)
  • the decision matrix
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6
Q

what are the 3 business analytics target?

A
  • development of 1 or a few related analytics applications
  • development of infrastructure to support enterprise-wide analytics
  • support for organizational transformation
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7
Q

BA tools

A
  • excel
  • multidimensional analysis (OLAP)
  • data mining
  • decision-support systems
  • statistical procedures (descriptive statistics; affinity analysis; liner, multiple + logistic regression; etc.)
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8
Q

descriptive analytics

A

summarizes what has happened in the past + enables decision-makers to learn from past behaviours

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9
Q

BA tools in descriptive analytics

A
  • online analytical processing (OLAP)
  • data mining
  • decision-support systems (sensitivity analysis, what-if analysis, goal-seeking analysis)
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10
Q

predictive analytics

A

examines recent + historical data to detect patterns and predict future outcomes and trends

ex. banking, health care, weather, police work, insurance, etc.

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11
Q

prescriptive analytics

A

goes beyond descriptive and predictive models by recommending one or more courses of action + identifying the likely outcome of each decision

  • requires predictive analytics + actionable data and feedback system to track outcome produced by the action taken
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12
Q

BA tools in prescriptive analytics

A
  • optimization
  • simulation
  • decision trees
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13
Q

dashboards

A

provides easy access to timely information + direct access to management reports

  • user-friendly, supported by graphics
  • enables management to examine exception reports + drill down into detailed data
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14
Q

drill down

A

ability to go to details at several levels; can be done by series of menus or by clicking on a drillable portion of the screen

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15
Q

critical success factors (CSFs)

A
  • factors most critical for the success of a business

- can be organizational, industry, departmental, or for individual workers

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16
Q

key performance indicators

A

specific measures of CSFs

17
Q

status access

A

latest data available on KPI or some other metric, often in real time

18
Q

trend analysis

A

short, medium and long term trend of KPIs or metrics, which are projected using forecasting methods

19
Q

exception reporting

A

reports highlighting deviations larger than certain thresholds. Reports may include only deviations

20
Q

geographic information technology (GIS)

A

provide computer-based systems for capturing, manipulating, and displaying data using digitized maps

enable geocoding; every record has identified geographic location