Lecture_1 Flashcards

1
Q

What is data

A

Represents a collection of data points (discrete unit of information)

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2
Q

How much percentage of customers are willing to share their information in exchange for some benefits?

A

67%

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3
Q

What is customer data?

A
  1. Encompasses a broad spectrum of infomation about the people and businesses your company serves.
  2. Essential asset for understanding your customers and their goals, how your business fits into the equation.
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4
Q

Four types of customer data

A
  1. Identity data
  2. Behavioral data
  3. Descriptive data
  4. Qualitative data
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5
Q

What are the usages of identity data?

A

Identity data can be used to personalize communication, maintain contact detail, identify buyers’ personas.

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6
Q

What is behavioral data?

A

General patterns ciustomers perform when interacting with your business and when using your products and services.
Example: Page views, email open rate, Clicks…

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7
Q

What is descriptive data?

A

Any additional information about a customers will help to better understand their habits and intention.

Example: Income, family details.

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8
Q

What kind of data are from survey?

A

Qualitative data

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9
Q

What is qualitative data?

A

Additional information regarding preference data, desirability and sentiments,.

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10
Q

What kind of data will tell the channel conversions?

A

Behavior data and qualitative data.

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11
Q

The availability of data nowadays

A
  1. Smartphones and the Internet made data abundant.
  2. Every activity creates a digital trace.
  3. Data volume increases with IoT.
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12
Q

What is “digital universe”?

A

The data created and copied every year.

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13
Q

The quality of data has changed to

A

Analyze rapid real-time flows of unstructured data.

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14
Q

The value of data change from

A

Targeting ads better to turn the data into AI or cognitive sercies.

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15
Q

Four areas of data analytics deployment

A

Lead generation
Match the people
Maximize LTV
Get right price

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16
Q

What is lead generation?

A

Identify the right customer at the right time.

17
Q

What is match the people?

A
  1. Understand what drives sales success.
  2. More effective resource allocation.
  3. Integrate email, calendar and CRM to identify the actions correlate with success.
18
Q

How to maximize CLV?

A

Implementing next-product-to-buy algorithms.

Using ML to identify customer discontent(不满), help increase retention.

19
Q

DEal analytics can provide

A

Price transparency and allow sellers to make trade-offs during negotiations

20
Q

Insights Value Chain

A

Consist of technical foundations and business foundations.

21
Q

What are factors in technical foundations?

A

Data (new data sources…), analytics (ML/descriptive statistics…) and IT (cloud sourcing, SQL…)

22
Q

The insights value chain is multiplicative

A

True

23
Q

How to transfer data insights into value?

A

See slides