Gain practical insights and proven strategies to unify your data, improve quality, and implement effective governance, essential steps to unlock reliable AI outcomes and drive business success.
Webinar
IBM SPSS Academic Campus Program:
2025 Software Updates & Renewal
Leaders, staff, and lecturers from Philippine higher education institutions are warmly invited to join this engaging 1-hour SPSS webinar.
Hear from SIFT’s team on the latest updates of SPSS Campus Edition and discover insights on how to maximize its full potential to enhance both teaching and learning experiences.
Take this opportunity to engage with our SPSS expert, ask questions, address challenges, and gain guidance tailored to your academic needs.
About SIFT Analytics Group – Trusted IBM SPSS Provider
For over 26 years, SIFT Analytics has proudly served more than 400 universities and colleges across Southeast Asia. We are committed to offering the most cost-effective solutions because our mission is clear: to empower students and educators to learn, teach, and apply statistics effectively using IBM SPSS.
Participants will gain:
Discover the latest features and updates in SPSS Campus Edition to stay current with powerful data analysis tools.
Engage directly with an SPSS expert to ask questions and receive personalized guidance based on your institution’s needs.
SPSS Campus Edition licensing and renewal options, including access to exclusive pricing and support from SIFT Analytics.
Date: 15 July 2025 (Tuesday)
Time: 3:00 PM - 4:00 PM (PST)
Venue: Online Webinar
Register Here
Webinar Agenda
Without clean, integrated, and well-governed data, AI models are prone to bias, errors, and poor performance. By investing in data integration, quality, and governance, organizations can ensure their AI initiatives are built on trustworthy data.
This session covers key pillars of a strong data foundation: data integration, data quality, and data governance.
Why Attend
Gain practical insights and proven strategies to unify your data, improve quality, and implement effective governance, essential steps to unlock reliable AI outcomes and drive business success.
Who Should Attend