| SESUG |
2025 |
Enrollment Projections Application: Empowering Data-Driven Enrollment Strategies |
Raj Bhosale |
|
6 |
| PHUSE US |
2025 |
Interactive Dashboards - Empowering Clinicians to Generate Reports Instantly |
Inderjeet Arora |
source presentation source |
8 |
| PharmaSUG |
2024 |
Navigating Success: Exploring AI-Assisted Approaches in Predicting and Evaluating Outcome of Clinical Trials and Submissions |
Ruohan Wang, Chris Qin |
source |
9 |
| PHUSE EU |
2022 |
Predictive Analytics Framework for Diversity-focused Trial Enrolment: Synergistic role of Registry Data, Lived Experiences, and Programming Power |
Kapil Khambholja, Vatsal Chhaya |
source presentation source |
5 |
| PHUSE US |
2021 |
Leadership Presentations: LE06: One Sprint at a Time - Agile Transformation in Clinical Research [presentation] |
Aman Bahl, Steve Benjamin |
source |
17 |
| SGF |
2020 |
Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada |
Jason A. Oliver |
source |
19 |
| PHUSE EU |
2019 |
Oracle Analytics Cloud |
Mike Collinson |
source presentation source |
8 |
| SESUG |
2019 |
Validating Classification and Recidivism in Corrections Through Outcome Analytics |
Alan R. Mann |
source |
34 |
| PharmaSUG |
2019 |
Artificial Intelligence and Real World Evidence - it takes two to tango |
Charan Kumar Kuyyamudira Janardhana |
source |
9 |
| SGF |
2019 |
AI is Coming for Your BI: Automated Analysis in SAS Visual Analytics |
Rick Styll |
source |
19 |
| SGF |
2019 |
Overcoming the Blockers: Analytics Adoption Strategies Used by Successful Organizations |
Patricia S. Aanderud, Reid Baughman, Ken Matz, Chris St. Jeor |
source |
16 |
| PHUSE US |
2019 |
Quantifying Dynamic Risk with Predictive Analytics |
Susan Olson, Connor English |
source presentation source |
7 |
| SCSUG |
2018 |
Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model |
Mei Najim |
source |
17 |
| PHUSE US |
2018 |
Cross-study Analysis of SDTM Data Using R |
Greg Jones, Todd Cornelius |
source presentation source |
6 |
| PHUSE US |
2018 |
Data Science Applications and Scenarios |
Edwin Ponraj Thangarajan, Giri Balasubramanian |
source presentation source |
13 |
| SGF |
2018 |
A Study of Modeling Approaches for Predicting Dropout in a Business College |
Helmut Schneider, Xuan Wang |
source |
8 |
| SGF |
2018 |
Claim Analytics: A Litigation Prediction Case Study |
Mei Najim |
source |
18 |
| SGF |
2018 |
Role and Value of Visual Analytical Insights for Decision-Making throughout the Global Supply Chain [presentation] |
Shantanu Samanta, Paul Reynolds |
source |
11 |
| SGF |
2018 |
Using Predictive Analytics to Improve a Student Advising System |
Thanuja Sakruti, Youyou Zheng |
source |
13 |
| SESUG |
2017 |
Job Upward Mobility: Getting Better When You're Already Good |
Molly Meade Hall |
source |
11 |
| MWSUG |
2017 |
Claim Analytics |
Mei Najim |
|
18 |
| WUSS |
2017 |
Job Upward Mobility: Getting Better When You're Already Good |
Molly Hall |
source |
11 |
| SGF |
2017 |
Am I Getting the Most Value out of My SAS Installation Dollars? |
Al Cordoba |
source |
7 |
| SGF |
2017 |
Maximizing Cross-Sell Opportunities with Predictive Analytics for Financial Institutions |
Nathaniel Derby |
source |
16 |
| SGF |
2017 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
source |
17 |
| SGF |
2017 |
Timing is Everything: Detecting Important Behavior Triggers |
Daymond Ling |
source |
12 |
| MWSUG |
2016 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
|
17 |
| SGF |
2016 |
A Property and Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
source |
14 |
| MWSUG |
2015 |
A Property & Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
|
14 |
| SGF |
2015 |
How to Use Internal and External Data to Realize the Potential for Changing the Game in Handset Campaigns |
Hurcan Coskun |
source |
8 |
| SGF |
2015 |
Marketing at the Speed of Gaming: Real-Time Decisions for Casinos |
Natalie G. Osborn |
source |
4 |
| SGF |
2015 |
SAS and SAP Business Warehouse on SAP HANA--What's in the Handshake? |
Tatyana Petrova |
source |
17 |
| SGF |
2015 |
Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data |
Mahesh Subramanian, Suneel Grover |
source |
24 |
| SGF |
2014 |
Big Digital Data, Analytic Visualization, and the Opportunity of Digital Intelligence |
Suneel Grover |
source |
17 |
| SGF |
2014 |
Doubling Down on Analytics: Using Analytic Results from Other Departments to Enhance Your Approach to Marketing |
Natalie G. Osborn, Eric Peterson |
source |
6 |
| SGF |
2014 |
Making It Happen: A Novel Way to Combine, Construct, Customize, and Implement Your Big Data with a SAS Data Discovery, Analytics, and Fraud Framework in Medicare |
Vivek Sethunatesan |
source |
15 |
| SGF |
2014 |
The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge |
Roosevelt Mosley, Nick Kucera |
source |
15 |
| SGF |
2013 |
Next-Generation Detection Engine for Fraud and Compliance |
Ryan Schmiedl |
source |
6 |
| SGF |
2013 |
SAS Enterprise Business Intelligence Deployment Projects in the Federal Sector: Best Practices |
Jennifer Parks |
source |
13 |
| SGF |
2013 |
Weathering the Storm: Using Predictive Analytics to Minimize Utility Outages |
Kathy Ball, Mark Konya |
source pdf |
10 |
| SESUG |
2012 |
SAS Enterprise Business Intelligence (EBI) Deployment Projects in the Federal Sector: Best Practices |
Jennifer Parks, Falls Church |
source |
12 |
| WUSS |
2012 |
Building, refining & scoring financial transaction sequence analytics |
Robin E. Way |
source |
12 |
| WUSS |
2012 |
Moving Beyond Caveman Communication to Explain the Statistics Behind Your Model:So Easy a PhD Can Do It! |
Kari Kelso |
source |
9 |
| SGF |
2011 |
Enrich your SAS Reporting with SAS Predictive Analytics |
Rob Craige |
source |
15 |
| SGF |
2011 |
Using Real-Time Analytics to Manage Next Best Offer |
Christopher R. Toth |
source |
5 |
| SGF |
2010 |
An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry |
Roosevelt Mosley |
source |
20 |
| SGF |
2008 |
How SAS 9 Allows the Delivery of the Power of Predictive Analytics and Forecasting to the Masses |
David Pope |
source |
10 |
| SGF |
2007 |
Optimization with SAS/OR--What It Is, What's New, and How It Adds Value |
Trevor Hughes, Ed Kearney |
source |
12 |
| SUGI |
2004 |
From Buzzwords to Business Value |
Liz Roche |
source |
19 |