SECTION 3: Defining Values for Success Flashcards
(105 cards)
1
Q
What is the foundation of decision-making in organizations?
A
Data is the foundation of decision-making
Data-driven insights are crucial for organizational success.
2
Q
What must organizations have to succeed alongside data?
A
A clear set of values
Values guide decision-making and ensure alignment with mission and goals.
3
Q
What is the role of data analytics in decision-making?
A
Data analytics helps organizations make more informed decisions that align with their core values.
4
Q
What are the practical applications of data analytics discussed?
A
Case studies and real-world examples of value-driven data analytics efforts.
5
Q
What is necessary for building a data-driven organization?
A
Using data analytics techniques to define values for success.
6
Q
What do clearly defined values provide for data analytics?
A
A framework for decision-making
They help drive organizational change and improvement.
7
Q
What is a business question?
A
An inquiry that arises from a business need or problem requiring data analysis.
8
Q
What are the types of analytics questions you will learn to answer?
A
- Descriptive analytics question
- Diagnostic analytics question
- Predictive analytics question
- Prescriptive analytics question
9
Q
What does descriptive analytics help organizations understand?
A
Historical trends and patterns in data.
10
Q
What is an example of a descriptive analytics question?
A
What was the average sales revenue per month for the last year?
11
Q
What is the purpose of diagnostic analytics?
A
To identify the root cause of a problem.
12
Q
What is a key technique used in predictive analytics?
A
Predictive modeling.
13
Q
What does prescriptive analytics identify?
A
The best course of action in a given situation.
14
Q
What type of analytics examines patterns and trends to understand underlying causes?
A
Exploratory analytics.
15
Q
Fill in the blank: The Endothon Company uses _______ to forecast future demand.
A
predictive analytics.
16
Q
What is the first step in answering prescriptive analytics questions?
A
Collect and analyze historical and current data.
17
Q
What do organizations need to ensure about their data?
A
It remains relevant and current.
18
Q
What is one method for collecting data?
A
- Surveys
- Interviews
- Focus groups
- Web scraping
19
Q
What is a benefit of exploratory analytics?
A
It can help identify data errors and inconsistencies.
20
Q
What type of analysis helps identify customer segments?
A
Customer segmentation analysis.
21
Q
True or False: Predictive analytics can help with fraud detection.
A
True.
22
Q
What must organizations consider when selecting data collection methods?
A
The type of data needed, sample size, and level of detail required.
23
Q
What can diagnostic analytics reveal about product quality issues?
A
The root cause of the quality problem.
24
Q
What is an example of a prescriptive analytics application?
A
Supply chain optimization.
25
What do data analysts help businesses understand through descriptive analytics?
Past performance and trends.
26
What is market research?
Collects and analyzes information about a market, including its size, trends, competitors, and customer preferences.
27
What are primary data collection methods used in businesses?
Focus groups, interviews, case studies, experiments, and observations.
28
What is web scraping?
The process of extracting data from websites using automated software tools.
29
What factors must organizations consider when selecting data collection methods?
Research objectives, budget, and timeline.
30
What are the unique characteristics of different data sources?
Databases, websites, and surveys.
31
What is the first data source typically used by businesses?
An organization's internal database.
32
What can web analytics tools track?
Website visitors' behaviors, including pages visited and demographic characteristics.
33
What are some common biases in survey data?
Inaccurate survey design, unrepresentative respondents, and inadequate sample size.
34
What does data quality refer to?
The degree to which data is accurate, complete, timely, and relevant.
35
What types of data are included in data quality requirements?
* Numeric data
* Categorical data
* Textual data
* Time-series data
* Spatial data
* Binary data
* Multimedia data
36
What are the consequences of poor data quality?
Erroneous conclusions and negative impacts on business decision-making.
37
What is the purpose of data quality checks?
To ensure data accuracy, completeness, and reliability throughout a project.
38
What is data governance?
The process of ensuring that data complies with an organization’s security, privacy, and ethical policies.
39
True or False: Data sources can be both internal and external.
True.
40
What is customer segmentation?
Divides customers into different groups based on similar characteristics.
41
What is regression analysis?
A statistical method identifying the relationship between a dependent variable and one or more independent variables.
42
What is a decision tree?
A tree-like structure that distills a complex decision into simpler decisions or actions.
43
What is clustering in data analytics?
A technique that groups similar objects or data points based on characteristics.
44
What do association rules identify?
Patterns and relationships between products or services.
45
What is machine learning?
Techniques that extract insights and patterns from large datasets.
46
What is time-series analysis used for?
To analyze historical data and forecast future trends.
47
What does market basket analysis do?
Identifies patterns in customer purchasing behavior.
48
What is process mining?
Analyzes and improves business processes by extracting data from various sources.
49
What does a t-test compare?
The means of two independent samples.
50
What does correlation analysis measure?
The degree of association or relationship between two or more variables.
51
What type of data does text mining analyze?
Unstructured text, such as social media posts or customer reviews.
52
What are neural networks designed to do?
Recognize patterns and relationships in data.
53
What is the impact of data analytics on decision-making processes?
Allows decisions to be based on objective data rather than intuition.
54
What is the impact of data analytics on organizational culture?
Promotes a culture of continuous improvement and data-driven decision-making.
55
List some commonly used data analytics techniques.
* Regression analysis
* Decision trees
* Clustering
* Association rules
* Machine learning
* Time series
* Market basket
* Process mining
* T-test
* Correlation analysis
* Text mining
* Neural networks
56
What is a neural network?
A model for neural networks using layers of interconnected nodes or neurons to process information and make predictions.
57
What is required for businesses to effectively use neural networks?
Large amounts of data that can accurately train the model.
58
What can data analytics provide for businesses?
Valuable insights that drive growth and success in various industries.
59
What are the impacts of different data analytics techniques?
They can affect business outcomes such as revenue, customer satisfaction, or cost reduction.
60
What can effective data analytics strategies improve?
* Decision-making
* Opportunities for growth and innovation
* Operational efficiency
* Customer satisfaction
* Competitive advantage
61
What factors determine the impact of data analytics strategies?
The organization's specific goals and objectives, and how well processes and culture implement and integrate the analytics strategies.
62
What is regression analysis used for in a business context?
To identify the most influential factors driving sales.
63
How can machine learning techniques be applied in healthcare?
To identify patients at high risk of readmission to the hospital.
64
What is clustering used for in marketing?
To group customers based on shared characteristics for targeted marketing strategies.
65
What steps should data analysts follow to select an appropriate analysis method?
* Identify the type of data present
* Determine the research question
* Determine the level of measurement
66
What is continuous data?
Data that can take any numerical value within a range, such as weight, height, temperature, and time.
67
What is the role of data visualization in analytics?
To communicate insights effectively and drive action.
68
What factors influence the choice of visualization technique?
* The audience
* The message
* The insights
69
What is a line chart used for?
To show the trend of stock prices over time.
70
What does a scatterplot analyze?
The relationship between two variables.
71
What is a heat map used for?
To visualize customer behavior on a website or app.
72
What is the purpose of selecting the correct metrics in data analytics?
To measure and evaluate a business initiative's success.
73
What can happen if metrics are tracked too frequently?
Noise in the data, making it difficult to identify meaningful trends.
74
What is the conversion rate?
The percentage of website visitors who complete a desired action.
75
Define churn rate.
The percentage of customers who stop doing business with a company over a certain period.
76
What is customer lifetime value (CLV)?
The total value of a customer to a business throughout their relationship.
77
What is return on investment (ROI)?
A metric that measures the profitability of an investment.
78
What is predictive analytics?
Uses statistical algorithms and machine learning techniques to analyze historical data and predict future events.
79
What was the main challenge faced by Alliah Company?
Generating revenue from digital and social media channels.
80
What did Alliah Company need to do to succeed in digital media?
Employ cutting-edge analytics tools to ask the right business questions.
81
What demographic characterized the audience with high engagement rates on social media?
Younger individuals with an interest in 'soft content.'
82
What was the outcome of Alliah Company's analytics-driven approach?
Digital revenue increased by 50% in two years.
83
What is the significance of asking the right business questions in data analytics?
It is necessary for achieving successful outcomes.
84
Fill in the blank: The process of finding the best solution to a problem is known as _______.
[optimization]
85
Fill in the blank: A metric that measures the percentage of people who click on a link or advertisement is called _______.
[click-through rate (CTR)]
86
Fill in the blank: A statistical method for examining the relationship between a dependent variable and one or more independent variables is _______.
[regression analysis]
87
What demographic is more likely to consume social media content?
Younger audiences
## Footnote
They tend to be more interested in soft content.
88
What demographic is more likely to consume content on main websites?
Older audiences
## Footnote
They tend to be more interested in hard content.
89
What is the significance of aligning content with audience preferences?
Increases engagement and advertising revenue.
90
What is the first step in a data analytics project?
Identifying the project's objectives.
91
What must be identified after determining the project's objectives?
Data requirements.
92
What are key demographic variables influencing healthcare usage?
Age, gender, income, and education.
93
What question might a healthcare provider ask regarding healthcare usage patterns?
What are the healthcare usage patterns for different age groups?
94
What is a necessary aspect for a successful data analytics project?
Asking the right questions.
95
What must be done to raw data before analysis?
Gathering, cleaning, and transforming it into a suitable format.
96
What are some visualization techniques used in data analytics?
* Bar charts
* Line charts
* Scatter plots
* Heat maps
97
What does the choice of visualization technique depend on?
The nature of the data and the insights communicated.
98
What type of data is required for regression analysis?
Numerical data.
99
What type of data is required for text analytics?
Unstructured text data.
100
What is a primary benefit of data analytics techniques?
Ability to make more accurate and informed decisions.
101
How can data analytics improve operational efficiency?
By identifying inefficiencies, redundancies, and areas for improvement.
102
What advantage do data analytics techniques provide organizations?
Insights into customer preferences and behavior.
103
What can organizations identify through data analytics?
Trends, patterns, and insights.
104
What is the overall impact of data analytics techniques on organizations?
Improved decision-making, increased efficiency, and enhanced competitiveness.
105
True or False: Organizations that invest in data analytics are better positioned to succeed.
True
