Week 9: Big Data and Business Intelligence Systems Flashcards

1
Q

What is a Business Intelligence System (BI)?

A

An IS that processes operational, social and other data to identify patterns, relationships and trends for use by business and other knowledge professionals

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2
Q

What is business intelligence?

A

The patterns , relationships, trends and predictions identified in data

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3
Q

Why is business intelligence useful?

A

It can identify future directions of the market

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4
Q

What is big data?

A

A collection of data sets so large and complex that it is difficult to process using on hand database tools

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5
Q

What is the purpose of a data warehouse?

A

To prepare, store and manage data specifically for data mining and other analyses

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6
Q

What is dirty data?

A

Data containing mistakes in spelling/punctuation, incorrect, outdated or duplicated data.

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7
Q

What does too much data cause?

A

Dimensionality

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8
Q

What is the problem with have data with too many rows/data points/attributes/dimensions?

A

The data becomes worthless for prediction (because data is so unique, it is harder to spot patterns)

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9
Q

What does a data broker/aggregator do?

A

Acquires consumer data from various sources, and then sells this data to different companies.

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10
Q

What are two business intelligence applications?

A

Reporting applications and Data-mining applications

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11
Q

What do reporting applications do?

A

Integrate data from multiple systems, the sort/group/compare data

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12
Q

What do data-mining applications do?

A

Discover hidden patterns and relationships in order to classify and predict

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13
Q

What is RFM analysis do?

A

allows you to analyse and rank customers according to their purchasing patterns.

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14
Q

Whats does RFM analysis stand for?

A

R = How recently a customer purchased your products

F = How frequently a customer purchases your products

M = How much money a customer typically spends

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15
Q

What does OLAP stand for?

A

Online analytical processing

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16
Q

What does OLAP do?

A

App with the ability to sum, count, average and perform other simple operations on data. (Similar tool to RFM)

17
Q

What is supervised data mining?

A

Where a model is developed before analysis. It is used for making predictions

18
Q

What is unsupervised data mining?

A

Where a model is not created before running analysis. Analysts create hypotheses after analysis to explain patterns found

19
Q

What is market-basket-analysis?

A

A data-mining technique for determining sales patterns. It identifies products that customers tend to buy together. (Customers who brought X also brought Y)

20
Q

What is a decision tree?

A

A hierarchical arrangement of criteria that predicts a classification or value