Business Intelligence and Analytics for Transformation Flashcards

1
Q

what is Big Data?

A

datasets that are so large,
fast, or complex that traditional data processing software can’t deal with them adequately.

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2
Q

what are the 5 Vs of Big Data?

A
  1. Volume
  2. Velocity
  3. Variety
    4.Veracity
  4. Value
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3
Q

what does business intelligence do?

A

-Supports organisations transform data into
business actionable insights.
- Presenting actionable information

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4
Q

what are the common functions of Business Intelligence technologies?

A

-Reporting
-Online analytical processing
-Analytics
-Data mining
-Text mining
-Predictive analytics
-Prescriptive analytics.

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5
Q

what does business analytics refer to?

A

the skills, technologies, practices for continuous
iterative exploration, and investigation of past business performance to gain insight and drive business planning

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6
Q

what are the different types of analytics?

A

-Descriptive Analytics: What has happened?
- Predictive Analytics: What could happen?
- Prescriptive Analytics: What should we do?

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7
Q

what are the success factors for big data analytics?

A

-personnel with advanced skills
-a clear business need
-strong committed sponsorship
-alignment between the business and IT strategy
-a fact based decision making culture
-a strong data infrastructure
-the right analytics tools

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8
Q

what are the key technologies behind Big Data?

A

-Hadoop
-Apache Spark
-Cloud-Based Analytics Platforms

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9
Q

what is Hadoop?

A

An open-source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models

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10
Q

what is Apache Spark?

A

An open-source unified analytics engine for large-scale data processing, with
built-in modules for streaming, SQL, machine learning, and graph processing

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11
Q

what are Cloud-Based Analytics Platforms?

A

Platforms that provide computational resources on demand, scaling up or down as needed, to process Big Data workloads.

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12
Q

what are the essential tools for business analytics?

A

-data management tools
-programming for data science
-data visualisation software
-statistical analysis software

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13
Q

what are data management tools?

A

software that helps organize, store, and retrieve data which is essential for any analysis

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14
Q

what is programming for data science?

A

Languages that allow analysts to manipulate data and perform complex analyse e.g python

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15
Q

what is Data Visualisation Software?

A

Tools that help turn numbers and data sets into graphs and charts, making it easier to see patterns and
insights

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16
Q

what is Statistical Analysis Software?

A

Specialized software used to delve deeper into data, testing theories and making prediction

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17
Q

what is digital dexterity?

A

a set of beliefs, mindsets,
and behaviours that help employees deliver faster and
more valuable outcomes from digital initiative

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18
Q

what is meant by digital-ready talent?

A

leaders work proactively and address trade-offs and help leaders set and articulate priorities

19
Q

why does big data matter in digital transformation?

A

-competitive advantage
-enabler of new business models e.g Uber
-digital transformation

20
Q

what does Business Intelligence transformation impact?

A

-Business Intelligence strategy
-Data Management
-Analytics and algorithms
-Dashboards
-Interactive Reporting
- Data Visualisation

21
Q

what are the challenges and ethical considerations?

A

-data quality
-data integration
-misinterpretation of data (confusing correlation with causation)
-data security (measures to protect the data)
-privacy (respecting individuals privacy rights)

22
Q

what are the ethical considerations in Big Data?

A

-bias in data collection and analysis (inequalities or distort decision making)
-surveillance and monitoring (balance between security and privacy)

23
Q

what is Big Data in Digital Commerce?

A

The vast and diverse sets of digital information generated and collected by
online businesses during their operations

24
Q

why is Big Data important in Digital Commerce?

A

-customer insights
-personalisation
operational efficiency
-competitive advantage
-innovation
-data-driven decision-making

25
Q

what are the types of customer data?

A

-demographic information
-purchase history
-behavioural data
-feedback and reviews
-browsing history

26
Q

what are the website and app analytics?

A

-page views and clicks
-conversion rates
-user flow (entry and exit points)
-load times

27
Q

what are the sales and transaction data?

A

-order information
-payment data
-inventory and stock data

28
Q

what are the marketing and advertising data?

A

-campaign metrics (performance of marketing campaigns)
-customer acquisition costs
-customer engagement

29
Q

what is the social media and user generated content?

A

-social media mentions
-user generated content (reviews, comments, and product photos)

30
Q

what are the types of KPIs 1?

A

-conversion rate
-average order value (AOV)
-customer acquisition cost (CAC)
-customer lifetime value (CLV)
-cart abandonment rate
-revenue and sales growth
-website traffic and unique visitors
-customer retention rate
-return on investment
-social media engagement
-site load times
-customer satisfaction and reviews

31
Q

what is meant by ‘average order value’?

A

the average amount of
money spent by a
customer in a single
transaction

31
Q

what is meant by ‘conversion rate’?

A

The percentage of website
visitors who complete
a desired action, such
as making a purchase

32
Q

what is meant by ‘customer acquisition cost’?

A

The cost of acquiring a new
customer, including
marketing and advertising expense

33
Q

what is meant by ‘customer lifetime value?

A

The cost of acquiring a new
customer, including
marketing and advertising expense

34
Q

what is meant by ‘cart abandonment rate’?

A

the percentage of
shopping carts that
are abandoned by
customers without
completing a purchase

35
Q

what is meant by ‘revenue and sales growth’?

A

the increase in total
revenue and sales
over a specific period

36
Q

what is meant by ‘website traffic and unique visitors’?

A

the increase in total
revenue and sales
over a specific period

37
Q

what is meant by ‘customer retention rate’?

A

the percentage of
customers who
continue to make
repeat purchase

38
Q

what is meant by ‘return on investment’?

A

The ratio of net profit to the cost of an investment or
marketing campaign

39
Q

what is meant by ‘social media engagement’?

A

Likes, Shares, Comments: Measures engagement on social media platforms and the reach of social media campaign

40
Q

what is meant by ‘site load times’?

A

Page Load Speed: Measures how quickly website pages lo

41
Q

what is meant by ‘customer satisfaction and reviews’?

A

Indicates customer satisfaction and
provides valuable feedback for improvement