“How can I be more effective with my grantmaking?” It’s the age old question for grantmakers and many are turning to the power of analytics.
The problem with incorporating analytics for effective outcomes-based decision making is how to get started, and what steps to take. This presentation will review the steps in leveraging predictive analytics — from business objective through to deploying analytics.
The CRoss Industry Standard Process for Data Mining (CRISP-DM) provides a roadmap for implementing advanced analytics into foundations and non-profits. A proven, domain independent methodology has made CRISP the most used approach for data mining and predictive analytics. Part of the presentation will be a review and understanding of CRISP and how it may be applied.
Outcomes analysis and an approach to analyzing and developing insight regarding outcomes can be considered within three general dimensions:
This presentation will walk attendees through the CRISP-DM methodology with a discussion of the pitfalls and advantages offered in each step of the process model. With real-world case studies the presentation will aid in understanding the phases, ensuring a more comprehensive approach to outcomes analysis for foundations and non-profits.
Presenter: Tim Daciuk, Director of Advanced Analytics, SmartSimple Software Inc.
Questions? Contact us at firstname.lastname@example.org.