Course 2, Module 2 Flashcards

Make data-driven decisions

1
Q

What are 2 ways organizations use data to make better decisions?

A
  1. Data-driven decisions - Using facts to guide business strategy.

2 Data-inspired decisions - Same as data-driven decisions but they also consider drawing on comparisons to related concepts, giving weight to feelings and experiences, and considering other qualities that may be more difficult to measure.

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2
Q

What is an algorithm?

A

A process or set of rules to be followed for a specific task.

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3
Q

What is qualitative data and quantitative data?

A

Qualitative data - A subjective and explanatory measure of a quality or characteristic.

Quantitative data - A specific and objective measure, such as a number, quantity, or range

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4
Q

What are 2 data presentation tools?

A
  1. Reports (e.g. pivot tables) - static collection of data given to stakeholders periodically. It typically contains high-level, historical data that is cleaned and sorted.
  2. Dashboards - monitors live, incoming data. Benefits include easy access and low maintenance.
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5
Q

metric vs metric goal?

A

A metric - a single, quantifiable type of data that can be used for measurement.

A metric goal - a measurable goal set by a company and evaluated using metrics.

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6
Q

Small data vs big data?

A

Small data - Describes a dataset made up of specific metrics over a short, well-defined time period. Usually organized and analyzed in spreadsheets. Simple to collect, store, manage, sort, and visually represent. Can be useful when making day-to-day decisions.

Big data - Describes large, less-specific datasets that cover a long time period. Usually kept in a database and queried. Takes a lot of effort to collect, store, manage, sort, and visually represent

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7
Q

What are the 4 Vs to consider with big data?

A

Volume - The amount of data

Variety - The different kinds of data

Velocity - How fast the data can be processed

Veracity - The quality and reliability of the data

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