Enriching Vendor Data with Machine Learning Tools with Stephany Lapierre (#3)

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Enriching Vendor Data with Machine Learning Tools with Stephany Lapierre (#3)
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Montreal skyline with picture of Stephany Lapierre
“Vendor data should be at the core of your Source to Pay transformation and technology should just be way to drive compliance and enable the execution of your strategy.” – Stephany Lapierre

*If you prefer reading long form articles, you can read the transcript of the episode on the blog.

On the last episode, we explored the critical success factors for your Source to Pay system implementation. One of the factors that came up and got a strong reaction was vendor master data quality. Everyone agrees this is an important topic. However, when it comes down to the specific actions that should be taken to tangibly set yourself up for success, there aren’t many experts on the topic.

Today, I am fortunate enough to be joined by one of these rare gems. In fact, my guest today has built a company around the fact that being the master of your vendor information is the backbone of success in Source to Pay.

Stephany Lapierre is the Chief Executive Officer at Tealbook, a Canadian vendor network software provider based in Toronto, Ontario. Stephany and her team have been working since 2014 on putting together a platform that leaves your ERP vendor master in the dust. By doing away with limited and static vendor information and developing tools and processes to delivery up-to-date, granular and contextually specific information to buyers and sellers, Tealbook is making a name for itself.

While on this journey, let’s just say she’s gotten very intimate with the good, bad and the ugly of the vendor master. That’s why I’ve asked her onto the show – to discuss how companies can effectively cleanse vendor master data, how to measure progress and how to keep consistent vendor data quality levels.

We dive into the problems with traditional thinking about vendor data quality management and walk though the process and tools that can be used to really see progress on this front in your company.

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Do you believe good vendor data is critical to reaching your digitization objectives? What hurdles have you faced on the cleansing journey? What lessons learned can you share? Let me know in the comments.

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