Jen Stirrup

OCTOBER 30, 2022

analysing the characteristics of customers who purchase certain products, and searching for patterns amongst a set of customers in order to predict their probability of purchasing these products as well. These propensity models are useful for understanding which customers are most likely to purchase a given set of products.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Sisense

MAY 31, 2020

Every customer has something to teach us about how companies use data to transform a business or change lives. “We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109