Kurt Thearling discusses the keys to analytic success ...
There are numerous things that organizations overlook when implementing advanced analytics. One is the importance of curating your data—that is, deciding what data to make available for analysis, and organizing that data so it’s easy for users to find and access. This is not just data quality, which is also important, but for different reasons. Curating data is something a lot of organizations overlook or undervalue.
Another key success factor revolves around putting analytical models into production. It’s critical for organizations to establish robust processes and build an automated infrastructure to manage predictive models in a cost-effective and compliant manner. This is especially true for companies that generate tens of millions of analytical scores a day, and whose models are subject to external regulations. These production-oriented processes are often necessary to comply with various regulations governing the use of consumer information and analytical models. And, when done right, they are also a source of competitive advantage.
This is an excerpt from the book, “Secrets of Analytical Leaders: Insights from Information Insiders,” by Wayne Eckerson. To read more from the book, click here.
To read more expert insights, click here.
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
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access