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Chris Haddock

Chris Haddock

After graduating from the University of California, San Diego; Chris Haddock worked as a programmer on Environmental Information Management Systems.

As a programmer he learned the complexity of air calculations and the flexibility needed for hazardous waste conversion from gallons to pounds.

From programming, it was a quick transition to working with clients to translate their problems into technical specifications documents, estimating costs and justifying those costs to both the client and the sales staff who both angled to lower the cost and cut the schedule in-order to ink the deal.

After learning the lesson to take short-discomfort in order to achieve long term success; Mr. Haddock was promoted to his dream job of Product Manager.

Recent Posts

Preparing for Success with New Assessment Software

Posted by Chris Haddock on May 14, 2019 10:00:00 AM


One of the most important steps for any company initiating or reviewing their audit processes is finding the right software for the job. If your company is looking to roll out new assessment software, there are a number of questions you should ask before choosing your software solution, during the roll out of the new software, and into the long-term.

Lowering the Costs of Auditing through Automation

Posted by Chris Haddock on Feb 20, 2019 10:00:00 AM


Audits are costly. Managing supply chain connections, conducting assessments, tracking corrective actions, and aggregating all this information into useful reports are necessary tasks that are both time-consuming and labor-intensive. However, an effective automated solution can greatly reduce these costs, taking on much of the labor of auditing.

Supply Chains: How to Combat Audit Fatigue

Posted by Chris Haddock on Nov 20, 2018 10:00:00 AM


Transparency and accountability are a key part of achieving high environmental, social, and governance (ESG) performance. Regular supplier auditing is the most common way for many organizations to manage risk and gain visibility into their supply chains. But are current methods really fit for this purpose?

The Importance of Machine Learning and Building a Data Set in Business

Posted by Chris Haddock on Jan 9, 2018 10:00:00 AM


Machine learning can significantly contribute to business’ efficiency. It can help identify which products and services sell well during defined periods, allowing companies to adjust their sales operations accordingly to improve their bottom line. Machine learning can also detect which parts of a business process are taking up too much time and resources, enabling companies to make improvements before profits are undermined.