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

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Supply Chain Risk Mitigation Through Supplier Real Time Monitoring

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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

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Utilizing Generative AI For Proactive Supply Chain Risk Management: Utilizing Altman (Z-score) and Ohlson (O-score) Analysis for Supplier Monitoring

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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

Recommended Reading Jessica Little Recommended Reading Jessica Little

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.

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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.

Read More