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How Data battles Food Waste and Improves The Climate The food industry produces about one-third of the world’s greenhouse gasses. This is due in part to the fact that there is a lot of food waste generated. So what can be done to minimize the amount of food wasted and help our environment? Find out

Do you want to maximize your Overall Equipment Effectiveness (OEE)? Read all about why a data & analytics platform is the way to optimize your  production process!

Are you struggling with data and how to get the most value out of it as a food manufacturer? In recent years Data Science has emerged as a powerful tool in a large number of industries such as retail, finance, and supply chain. However, little has been done with it in the food industry.

Have you ever heard of the term Technical Debt? Did you ever place a solution into production which was built as a Proof of Concept (POC) on a platform that was not finalized yet?

During the past decades (since mid 90’s) organizations started to register more and more data within their ever expending application landscape.

Nowadays, a data product is never finished. there is a never-ending desire and possibility to add more features and data to it. What if we could help you with integrating historical, actual, and forecasted weather-data into your data product?

You are doing great, doing what you love most, running your business, perfecting your product, and nurturing your customers. To accomplish this, you are monitoring various aspects of your business, from people to production and from procurement to sales.

Within the food-industry the registration of datapoints are usually fragmented across various applications and levels within an organization. Now is the time to unlock their potential!

In this blog we will take the first step into our data-journey; hooking up source-application ‘Odoo ERP’ to the data-in-motion-component ‘Apache Kafka’ and write the raw data in (near)-real-time to the data-storage-component ‘AWS S3’.

As consultant I am working with data on a daily basis for various clients. Data is anywhere, everywhere, and available in all kinds of formats. In this day and age, it is essential to get valuable insights out of that data.