Module 1 stars Flashcards

1
Q

What are some fields business analytics apply to?*

A

NAME?

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2
Q

What are some reasons to extract information and knowledge from data?*

A

1.Improve bottom line

2.Enhance the customer experience

3.Develop better marketing strategies

  1. Deepen customer engagement

5.Enhance efficiency and reduce expenses

6.Identify emerging markets

7.Mitigate risk and fraud

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3
Q

What are the 3 ways business analytics are applied to marketing?*

A

1.Customer segmentation:+Analysis of customer data to group them into separate segments based on their behaviour, preferences and demographics
+This helps companies tailor their products, services and marketing campaigns

2.Sentiment analysis:+Data analytics are used to understand the sentiments of customers towards a brand or product
+Involves analysing social media and other types of feedback

3.Predictive analytics:+Using historical data to predict future trends, such as sales.

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4
Q

What are the 3 ways business analytics are applied to human resource management*

A

1.Talent analytics:+Analysing data to predict hiring success
+identify key characteristics of high performing employees
+streamline recruiting process

2.Employee turnover analysis:+Using data to identify patterns and factors leading to employee turnover

3.Performance analytics:+Analysis of data to understand employee performance
+Helps to identify areas for improvement
+Helps devise training programs

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5
Q

What are the 3 ways business analytics are applied to economics?*

A

1.Policy impact analysis:+Making use of data to analyse impact of economic policies
+To model the potential effects of proposed policies

2.Economic forecasting:+Analysis of economic indicators to forecast future economic conditions

3.Market research:+Analysis of data to understand market trends consumer behaviours and competitive landscapes

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6
Q

What are the 3 ways business analytics are applied to finance?*

A

1.Risk analytics:+The use of data to asses and manage financial risks

2.Investment analysis:+Analysis of financial data to identify investment opportunities or to asses the performance of existing investments

3.Fraud detection:+Use of data analytics to identify fraudulent or suspicious transactions

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7
Q

What are the 3 ways business analytics are applied to health*

A

1.Predictive analytics:+Use of data to predict disease outbreaks
+To predict patient readmission
+to predict progress of illness

2.Treatment efficiency analytics:+Analysis of data from clinical trails to asses the effectiveness of treatments

3.Health outcomes analysis:+Use of data to understand factors influencing health outcomes and to develop strategies for improving healthcare delivery

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8
Q

What are the 3 ways business analytics are applied to sports?*

A

1.Performance analytics:+Analysis of data to asses the performance of athletes or teams
+To aid in training strategies
+To predict outcomes of matches

2.Injury prevention:+Use of data to understand the risk factors for injuries
+And develop strategies for preventing injuries

3.Scouting and recruitment:+Analysis of performance data to identify athletes that are promising

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9
Q

What are the 3 ways that business analytics are applied to politics?*

A

1.Public opinion analysis:+Use of data from surveys or social media to understand public opinion on political issues or candidates

2.Campaign strategy analysis:+Use of data to inform political campaign strategies, such as identifying key demographics or geographical areas to understand their support.

3.Election forecasting:+Analysis of polling data to predict outcomes of elections

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10
Q

How does business analytics differ from data science?*

A

Business analytics:+Data analysis for business application

Data science:+Develop applications for end users

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11
Q

What are 3 different types of analytical techniques?*

A

1.Descriptive analytics:+What has happened?

2.Predictive analytics:+What could happen?

3.Prescriptive analytics:+What should we do?

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12
Q

What does turning data-driven recommendations into action require?*

A

NAME?

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13
Q

How is descriptive data generally collected(5 steps)?*

A

1.Gathered
2.Organised
3.Tabulated
4.visualised
5.summarised

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14
Q

What are 2 time related categories for types of data?*

A

1.Cross sectional data:+Collected by recording a characteristic of many subjects at the same point in time
+snapshots

2.Time series data:+Collected over several time periods on certain groups of people, specific events or objects
+Hourly, daily, weekly…annually

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15
Q

What is structured data?*

A

NAME?

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16
Q

What is unstructured data?*

A

NAME?

17
Q

What are the 4 scales of data?*

A

1.Nominal:+Data used to label variables without providing a quantitative value
+Also known as named data

2.Ordinal data:+Type of categorical data that can be ordered/ranked but intervals aren’t necessarily equal

3.Interval data:+Is numerical and the difference between two values is meaningful
+doesn’t have absolute 0
+Temp, IQ

4.Ratio Data:+Is numerical, ordered and has equal intervals
+Has absolute 0
+Height