My company, Inquidia Consulting, is currently engaged in/completing several predictive analytics and data science projects. While we distinguish PA from DS, there's often not a hard dividing line between the two with our customers. Indeed, though we demur, some now consider data science to be any application of statistical methods to business problems.

For Inquidia, both PA and DS generally involve statistics and machine learning of some sort, often “climaxing” with predictive models trained and validated on existing data. The ultimate goal is to deploy the models to make go-forward predictions in a business process.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access