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Preventing Data Loss with odoo.sh during a pandemic
Customer Success Story
Расположение: Studio 6 - 06.10.2021, 21:30 - 06.10.2021, 22:00 (Europe/Brussels) (30 минут)
Preventing Data Loss with odoo.sh during a pandemic
Simon Capriles
General Manager на Kyohei Ltda.
Simon Capriles
General Manager на Kyohei Ltda.

Born and living in La Paz Bolivia.

Studied Industrial engineering and then obtained a master's degree in Information security in the bolivian Military School of Engineering.

Initialy worked as production director but later specialized in Odoo ERP implementation and founded Kyohei Ltda.


This talk details the transition of Life Technologies Bolivia from Odoo Community to Odoo.sh and the information used to write a thesis on "Informatic systems implementation optimization by applying information risk management. Case: ERP Odoo." This topic was chosen because ERP's are some, if not the most, complex informatic systems to implement; moreover, they store and process critical data for the companies using them. ERP data loss could be catastrophic for a company's survival in the transition.

When the implementation was in the planning stages, the COVID19 pandemic broke out. Coincidentally, this customer used to import lab equipment and reagents to provide lab testing services. Before the pandemic, they invoiced less than 20 invoices per month, and with the onset of the pandemic their sales exploded to over 200 invoices daily. The older Community system was unable to handle this volume of sales, crashing constantly, and this led to a faster implementation of Odoo.sh despite the owner's concerns.

After analyzing all the data with the information risk management, results showed that the best solution for small and mid sized companies is to use odoo.sh. The reason is that odoo.sh provides a cost effective and secure hosting service compared to the recruitment and training of specialized technical IT personnel or compared to let the system work by it's own once installed without taking into account any risk that the system could face. The last case was the scenario of this customer's previous implementation.