Odoo Experience 2022
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Opening Keynote - Unveiling Odoo 16
Fabien PinckaersHecho
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Easing the scale up process of an eCommerce company with Odoo
Samuel RiederHecho
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How frePPLe helped Odoo customers outgrow their spreadsheets
Hicham LahlouHecho
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Revolutionizing the healthcare industry: last mile logistics with digital labels and smart scales
Joël Grand-GuillaumeHecho
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Utilizing Odoo to automate Food & Bakery Manufacturing and Distribution
Anupam SahaHecho
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Pioneering with Odoo in the Kenyan Hospitality Market
AlexanderHecho
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Switching from SAP to Odoo to run a factory
Nicolas DENISHecho
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Accounting Payable Cycle with Odoo
Paolo MarcantoniHecho
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How to make your marketplace scalable & profitable using Odoo Enterprise - a use case with Miomente GmbH
Simon StappenHecho
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Grow your company and invest safely thanks to our cash forecasting module
Viraj JoshiHecho
Denis Guillot has more than 25 years of experience with ERP system implementations for various sized businesses, focusing on Odoo for the last seven years At Port Cities Group, he holds the role of CTO and sets the course for innovations in our services. In the last few years, he has been leading the Port Cities technical team in helping large companies with growing volumes of transactional data in the market to leverage Odoo solutions.
With growth comes new challenges, especially for fast-growing and big organizations. One such challenging area is big data. It poses a series of questions that require urgent answers:
- How should companies process the exponentially growing data set?
- Which tool should they use for efficient analysis and reporting?
- How do they ensure significant data processing doesn't penalize the user experience and paralyze performance?
These are some of the questions our customers have tasked us to provide lasting solutions. We will show how the Port Cities team helped clients solve their big data challenges, with examples from past and present projects with large companies in the Asian markets.
Participants will learn how they can grow their Odoo stack and solve big data problems without hurting the user experience even as their company grows to a high number of concurrent users.