CH10 Marketing Analysis Flashcards
(40 cards)
define structured data
data that is highly organized and can be represented as tables made up of rows and columns
- rows are observations for a single unit of the population
- columns are variables like age, gender, and income
define unstructured data
data or information that is not neatly structured
eg. emails, social media posts, online reviews, photos, and text
what is marketing analytics?
marketing analytics: the discovery, interpretation, and communication of meaningful patterns in data
the insights gained from marketing analytics enable marketing managers to better understand their customers and markets
the development of marketing analytics has rapidly accelerated based on what 3 things?
- the emergence of big data
- advances in analytics tools
- improvements in information technology (IT)
what is the marketing analytics process?
- get the data
- organize and merge the data
- analyze the data
- take action based on the data
analyzing data consists of what 3 analytics?
- descriptive analytics
- predictive analytics
- prescriptive analytics
define descriptive analytics
descriptive analytics: data summarized in basic formats to identify patterns and trends
this is the essence of old school marketing research analytics
- cross tabulation tables are common
define predictive analytics
predictive analytics: a more advanced form of analytics that predicts what customers or potential customers will do in response to various marketing programs or classify them into market segments or other subgroups
the data comes from primary, secondary, and big data sources
what are some examples of problems to address when talking about predictive analytics?
- predicting the impact of improving customer service through our call centers on overall customer experience
- estimating the likelihood that an individual will buy or not buy our new product or service
- classifying people into market segments
- predicting which product different consumers are most likely to buy
define prescriptive analytics
prescriptive analytics: tells us the best course of action in a given situation
it employs the results of descriptive and predictive analytics to guide decision-making in more specific ways
what are the steps in prescriptive analytics?
- determine what quantity you want to maximize
- list the decision levers available to you
- build and calibrate a model that it robust under a wide range of ways of adjusting the decision levers
- embed the simulator inside an optimization tool that evaluates a variety of different ways of setting the decision levers and identifies which combination of lever settings maximizes your objectives
what are example of the uses of prescriptive analytics?
- a company could automatically adjust pricing in response to various factors
- doctors and hospitals could use prescriptive analytics to choose the best treatments for patients
- airlines can adjust fares for different destinations based on multiple factors
- fire departments can evaluate where to order evacuations
what is big data?
big data: the accumulation and analysis of massive quantities of information that is especially related to human behavior and interactions
what are the 3 Vs associated with big data?
- volume, referring to the amount of data
- variety, concerning putting together data from different sources
- velocity, concerning the fact that the data is arriving continuously in data streams
fil in the blank:
big data are more about “___” than “___”
big data are more about “what” than “why”
define data mining
data mining: an umbrella term for analytic techniques that facilitate fast pattern discovery and model building, particularly with large datasets
define backpropagation
backpropagation: a process where AI systems learn from mistakes
define neural network
neural network: a modeling technique that mimics the processes of the human brain and is capable of learning from experience to find patterns in data
define CRISP-DM Framework (Cross-Industry Standard Process for Data Mining)
CRISP-DM Framework (Cross-Industry Standard Process for Data Mining): a standardized methodology for conducting a data mining project based on using six steps
what are the 6 steps of CRISP-DM Framework?
- business understanding
- data understanding
- data preparation
- data modeling
- evaluation of results and
- deployment of a plan
what is behavioral targeting?
behavioral targeting: the use of online and offline data to understand a consumer’s habits, demographics, and social networks in order to increase the effectiveness of online advertising
what is machine learning?
machine learning: machines can learn by experience and acquire skills without human involvement, aka neural networks learning by processing vast amounts of data
what is deep learning?
deep learning: a subset of machine learning where artificial neural networks learn from large amounts of data backpropagation added
define artificial intelligence (AI)
artificial intelligence (AI): a machine that perceives its environment and takes actions that maximize its chance of successfully achieving its goal
