How Attebury Grain Saved 600% on AWS Analytics

For SMBs across industries, finding ways to accelerate time-to-market for critical BI, AI and ML initiatives is paramount for meeting aggressive financial and operational targets. The US farm commodity market is data-driven and new services and revenues are dependent upon forecasting seasonal production. Attebury Grain, one of the top five facility grain companies in North America, was looking to modernize its business with cloud data and analytics so they could improve market insights for pricing commodity futures and stay competitive. In this webinar, we will discuss how Attebury Grain leveraged Amorphic’s data lake and analytics platform to modernize their business. Additionally, we will cover: - Accelerating SMB data and analytics capability — the AWS perspective - Why Attebury selected Amazon Redshift for its data warehouse and Amazon QuickSight for business intelligence over other Cloud-native competitive products - Why Attebury selected the Amorphic Platform for its self-service AWS Data Lake, AI & ML analytics services - How Amorphic reduced Attebury’s AWS native data and analytics platform development cost by 600% and reduced time-to-production by 1800%. - How Mission brings the AWS, customer and Amorphic solutions together.