Send me a message

Data science is a relatively new discipline. Its use in supply chain is still in early stages so having a well thought out data science strategy is of utmost importance.

To talk about this I invited Ganes Kesari, the Co-founder & Chief Decision Scientist at Gramener.

We had a great conversation spanning mistakes organisations make when embarking on data science journeys, some successful data science case studies, and how to bring the organisation with you when making this change! 

I learned loads, I hope you do too...

If you have any comments/suggestions or questions for the podcast - feel free to leave me a voice message over on my SpeakPipe page or just send it to me as a direct message on Twitter/LinkedIn. Audio messages will get played (unless you specifically ask me not to).

If you want to learn more about how to juggle sustainability and efficiency mandates while recovering from pandemic-induced disruptions, meeting growth targets, and preparing for an uncertain future, check out our Oxford Economics research report here.

And if you want to read up on our Industry 4.0 blueprint repost, head on over to https://www.sap.com/cmp/dg/intro-industry40/index.html, and if you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks.

And remember, stay healthy, stay safe, stay sane! 

Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous supporters:

• Lorcan Sheehan
• Olivier Brusle
• Alicia Farag
• Kieran Ognev

And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.

Podcast Sponsorship Opportunities:
If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!

Finally
If you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.

If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it.

Thanks for listening.