News & Publications
“Data Assessment vs “Data Audit”:
A Comprehensive Comparison
Generative AI Has Finally Arrived for Procurement.
Are You Ready?
The Data Wars
A Battle for Business Supremacy
Supply Chain Risk Mitigation Through
Supplier Real Time Monitoring
Article 2 of 2
Supply Chain Risk Mitigation Through Supplier Real Time Monitoring
Article 1 of 2
The Power of Now
How Real Time Data Transforms Supply Chains
Utilizing Generative AI for Proactive Supply Chain Risk Management: Utilizing Altman (Z - score) and Ohlson (O - score) Analysis for Supplier Monitoring
Section 2 of 2
Utilizing Generative AI For Proactive Supply Chain Risk Management: Utilizing Altman (Z-score) and Ohlson (O-score) Analysis for Supplier Monitoring
Section 1 of 2
The Cost of Data Decay - Understanding Its Impact and Mitigation Strategies
Asset Management Data Challenges
Source - To - Pay System Data Utilization
Leveraging Data and Machine Learning In Small To Midsize Manufacturing Organizations
Supply Chain Network Vulnerability
Ivalua Adds New Advanced Features That Increase Productivity And Can Reduce Supply Chain Risk
Underrepresented Suppliers - Your Time Is Now
Managing Your Data Costs
Data “Trust” and Smart Contracts
(Web 3.0)
Excel - New Data Analytic Capabilities Using Python
Situational Awareness in Supply Chain Decision Making
What Is It and Why Does It Matter
The State Of Organizational Decision Making
The Whitehouse Announces New Supply Chain Data Initiative
A Book Worth Reading.
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage.
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary―useful in the hands of business analysts, communications strategists, designers, and more.
One of our International Association for Data Quality, Governance and Analytics Advisory Board Members – Dr. Stylianos Kampakis has written an excellent book on this subject. With the second edition of “The Decision Maker’s Handbook to Data Science”, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Dr. Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Dr. Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists"
We highly recommend his book.
Ask Good Questions (Blog)
We are pleased to have permission from Dr. Allan Rossman to post a link to his blog which is a great resource for statistical literacy.
Dr. Allan Rossman, Chairman Dept of Statistics, Cal Poly
We are pleased to have permission from Dr. Allan Rossman to post a link to his blog which is a great resource for statistical literacy.