data analytics Flashcards

(19 cards)

1
Q

What is data analytics?

A

The process of collecting, organizing, and analyzing data to discover patterns and create actionable decisions. fileciteturn1file0

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2
Q

What does data analytics help businesses do?

A

Better understand data, identify important data, and use it for data-driven decision making. fileciteturn1file0

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3
Q

Examples of benefits of data analytics?

A

Increased efficiency, improved operations, enhanced customer retention. fileciteturn1file0

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4
Q

Examples of data analytics in companies?

A

Walmart (hurricanes & Pop-Tarts), Osco Drug (beer & diapers), Target (targeted ads). fileciteturn1file0

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5
Q

What are the three legs of the data analytics ‘three‑legged stool’?

A

Technology acumen, business acumen, statistics acumen. fileciteturn1file0

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6
Q

What are the three types of analytics?

A

Descriptive, predictive, prescriptive analytics. fileciteturn1file0

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7
Q

What is descriptive analytics?

A

Explains what has happened using historical data. fileciteturn1file0

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8
Q

What is predictive analytics?

A

Uses past data to predict future outcomes. fileciteturn1file0

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9
Q

What is prescriptive analytics?

A

Uses descriptive and predictive analytics to propose actions and determine the best option. fileciteturn1file0

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10
Q

Predictive analytics examples?

A

Starbucks store placement; FedEx predicting customer responses with 65–90% accuracy. fileciteturn1file0

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11
Q

What question did Google analyze in the case example?

A

“Do managers matter?” fileciteturn1file0

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12
Q

What data did Google use to answer the manager question?

A

Performance reviews and employee surveys; evaluating top and bottom quartiles. fileciteturn1file0

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13
Q

What did Google conclude about manager effectiveness?

A

Top vs. bottom managers showed differences in productivity, happiness, and turnover. fileciteturn1file0

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14
Q

Additional question Google asked?

A

“What makes a good manager?” requiring more data collection. fileciteturn1file0

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15
Q

Challenges in data analytics?

A

Big data volume, structured vs unstructured formats, data location and silos. fileciteturn1file0

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16
Q

Examples of unstructured data?

A

Text, images, sound. fileciteturn1file0

17
Q

What is data visualization?

A

The graphical display of information to reveal insights. fileciteturn1file0

18
Q

Examples of data visualization tools?

A

Tableau, Power BI, QlikView. fileciteturn1file0

19
Q

What can Tableau do for users?

A

Sort, highlight, filter data; find trends and outliers; show stories in data. fileciteturn1file0