Unit 3 - Competency-Mapping-Aligning-Skills-with-Organizational-Success

Cohort Analysis

* Definition: Cohort analysis is a technique used to analyze groups of individuals who share a common characteristic over a specific period. This technique helps businesses understand customer behavior, retention rates, and other key metrics by tracking the performance of these groups over time.

Example: An e-commerce company might track a cohort of customers who made their first purchase in January 2023. They could then analyze how this group's purchasing behavior changes over the following months, including metrics like purchase frequency, average order value, and customer lifetime value.

Census Analysis

* Definition: Census analysis involves collecting and analyzing data about an entire population. It provides a comprehensive snapshot of a population's characteristics, including demographics, economic status, and social trends.

Example: A government census collects data on the entire population of a country, including age, gender, income, education level, and occupation. This data can be used to inform policy decisions, allocate resources, and understand societal trends.

Markov Analysis

* Definition: Markov analysis is a statistical method used to predict future states of a system based on its current state and historical transitions between states. It assumes that the future state of a system depends only on its present state, not on its past history.

Example: In marketing, Markov analysis can be used to model customer behavior. By analyzing past customer transitions between different product categories or brands, businesses can predict future purchasing patterns and optimize marketing strategies accordingly. For instance, a company might use Markov analysis to predict the likelihood of a customer who recently purchased a smartphone also purchasing a smartphone case or wireless headphones.