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Scoop.it!
An agile approach to overhauling data architecture improves speed, flexibility, and innovation.
Farid Mheir's insight:
WHY IT MATTERS:Â I agree with those 6 recommendations. 
Scoop.it!
Instacart is excited to announce our first public dataset release, “The Instacart Online Grocery Shopping Dataset 2017”. This anonymized dataset contains a sample of over 3 million grocery orders from more than 200,000 Instacart users. For each user, we provide between 4 and 100 of their orders, with the sequence of products purchased in each order. We also provide the week and hour of day the order was placed, and a relative measure of time between orders.
Farid Mheir's insight:
WHY THIS IS IMPORTANT In today's eCommerce world, winners do not limit themselves to building great catalogs and payment processing experience. They actively analyze data to understand customer behaviour, to provide them with exceptional information to speed-up their shopping experience, but also maybe make them buy more or more expensive products. This is a great example of such a data analysis by grocery shopping leader instacart. It provides amazing insights into grocery shopping but also has open sourced the data for others to benefit.
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Curated by Farid Mheir
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