DATA AI & COSTUMER EXPERIENCE

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40 Terms

1
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What is a Buyer Persona?

The archetype of the ideal customer, created through research, including intangible factors like motivations and attitudes.

2
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What are the 3 stages of the Buyer's Journey?

  • Awareness (realizing a problem)

  • Consideration (defining problem/researching solutions)

  • Decision (selecting a solution)

3
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What is the "Frontstage" in the 5 Layers of Interaction?

The interactions visible to the customer, such as the website interface or employee greetings.

4
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What is the "Backstage" in the 5 Layers of Interaction?

Internal support actions that are invisible to the customer.

5
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What is a Service Blueprint?

An advanced integration tool that connects the Customer Experience (Frontstage) with Internal Processes (Backstage).

6
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What is the main focus of Journey Mapping?

It focuses on the user's sequence of actions, tracking their thoughts and feelings at every step.

7
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  • What is Social Listening used for in the Customer Journey?

Analyzing sentiment and conversations to gauge brand perception during the Awareness stage.

8
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What is the function of Recommendation Engines?

To suggest products to influence purchase during the Decision stage (e.g., Netflix, Amazon).

9
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What is Churn Prediction?

An AI application used in Risk Management to identify at-risk customers before they cancel.

10
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  • What is Customer Experience (CX)?

  • The sum of all interactions (cognitive, emotional, behavioral) a user has with a brand.

11
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What characterizes Generative AI (GenAI)?

Unlike previous models that analyze data, GenAI creates new content (text, images) based on learned patterns.

12
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What is Machine Learning (ML)?

A subset of AI where computers learn from data without explicit programming; highly effective for Structured Data.

13
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What is Deep Learning essential for?

It is essential for processing Unstructured Data (images, natural language, speech) using artificial neural networks.

14
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  • What is "Structured Data"?

Tabular data (tables, databases) that Machine Learning handles effectively.

15
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What is "Unstructured Data"?

Data like social posts, videos, and images, which makes up 80% of new info and requires Deep Learning.

16
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What are the 3 Pillars of Marketing Data?

  • Static (Personal identity)

  • Relational (Transactional/what they bought)

  • Dynamic (Behavioral/real-time interactions)

17
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What question does Descriptive Analytics answer?

"What happened?" (Summarizes historical data).

18
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What question does Diagnostic Analytics answer?

"Why did it happen?" (Explores correlations and causal factors).

19
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What question does Predictive Analytics answer?

"What will happen?" (Uses ML to forecast outcomes).

20
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What question does Prescriptive Analytics answer?

"What should we do?" (Suggests actions to maximize opportunity).

21
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What is the role of a Data Scientist?

Connects with engineering to build models for Predictive and Prescriptive analytics.

22
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What is the role of a Business Analyst?

To collect information and report on the current situation.

23
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What does CRISP-DM stand for?

Cross Industry Standard Process for Data Mining.

24
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What is the goal of the "Business Understanding" phase?

To define business objectives before touching data.

25
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What occurs during the "Modeling" phase of CRISP-DM?

Applying algorithms and training models with past data to predict future results.

26
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What are Supervised Algorithms used for?

They are used for predictive tasks when you have historical data with known outcomes (labels).

27
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  • What is Classification in Data Mining?

A Supervised technique to predict categorical outcomes (e.g., Will customer buy? Yes/No)

28
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What is Regression in Data Mining?

A Supervised technique to predict numerical outcomes (e.g., forecasting sales volume).

29
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  • What are Unsupervised Algorithms used for?

To find hidden patterns in data without predefined labels (Descriptive).

30
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What is Clustering?

An Unsupervised technique that groups objects with similar characteristics; essential for segmentation.

31
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  • What is Association Analysis (Market Basket)?

Identifies products that occur together (e.g., "If X, then likely Y"); used for cross-selling.

32
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What is Programmatic Advertising?

Using Real-Time Bidding (RTB) to automate ad buying in milliseconds.

33
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When is a Business Plan typically created?

During moments of discontinuity or disruption (e.g., startup launch, M&A, new market entry).

34
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What are the 3 main functions of a Business Plan?

  • Planning & Evaluation

  • Communication

  • Control & Monitoring

35
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What is the primary interest of "Lenders" (Debt) vs. "Investors" (Equity)?

Lenders care about repayment capacity (interest); Investors care about share value and dividends (high risk/reward).

36
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What is the "Garbage In – Garbage Out" principle?

The reliability of a plan depends on the quality of inputs: historical data, verified market data, and justified assumptions.

37
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What is the function of the Executive Summary?

A 1-2 page synopsis of the entire document, critical for allowing readers to quickly grasp the project.

38
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What is included in the Strategic Plan section?

External Analysis (STEEP, Porter's), Internal Analysis, and SWOT Analysis to define a Deliberate Strategy.

39
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What is the Operating Plan?

  • The section that translates strategy into day-to-day actions (staffing, facilities, supplier selection).

40
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What is the difference between Economic and Financial planning?

Economic focuses on Profitability (Income Statement); Financial focuses on Sustainability/Survival (Cash Flow)