Category: Amazon Redshift

Since the start of the pandemic, retail customers’ purchasing habits have shifted dramatically—and they’re not going back. From online shopping and curbside pickup to changing brand loyalties prompted by supply chain disruptions to purchase decisions strongly influenced by social media, the world of retail has changed for good. To compete, retailers need to reinvent their […]

This is part 2 of a blog series – see part 1 for how to generate the data that is used in this blog. One of the main objectives of creating a data lake is to be able to perform analytics queries across large datasets to gain insights that would not be possible if the […]

As data emerges from population genomics projects all over the world, researchers struggle to perform large-scale genomics analyses with data scattered across multiple data silos within their organizations. In order to be able to perform more sophisticated tertiary analysis on genomics and clinical data, researchers need to be able to access, aggregate, and query the […]

With so many options to browse and discover products, consumers don’t shop linearly. Instead, they use many different, disparate channels along their shopping journey to discover and research products—from social media and websites, to email campaigns and targeted ads, as well as actually shopping in a brick-and-mortar store. Unfortunately, this disjointed approach obscures the shopper’s […]

An old concept of milk delivered to customer doorstep is making a big come back in fresh new ways. Home milk delivery from local dairy farms was a staple for many households in the 1950s and ’60s. With the rise of the supermarkets and refrigeration becoming widely available, the doorstep delivery of fresh milk went […]

To meet customers’ needs in a dynamic and fast-changing world, organizations must establish supply chain platforms that can proactively react in real time. Rapid technological development and advances in utilizing Internet of Things (IoT), artificial intelligence and machine learning (AI/ML), and cloud-based platforms can be leveraged to create scalable global platforms that capture data throughout […]

In part one of this series of blog posts, Why CPGs and Logistics Vendors Need a Fleet Management Data Lake, we explained why CPGs and logistics vendors need a data lake for transportation and fleet management. To quickly recap, a data lake is an ideal way to store, manage, and analyze transportation and fleet data […]

Many consumer packaged goods (CPGs) companies have been eyeing a move into the direct-to-consumer (DTC) space as a way to boost sales, increase market share, and get closer to consumers. This shift to a DTC model means that most CPGs need to collect first-party data and, in many cases, overhaul or transform their website and […]

This blog post is authored by AWS partner Advizzo. Since 2015, Advizzo’s behavioral science software and solutions have been empowering electricity, gas, and water customers around the globe to reduce their water and energy consumption and contribute to preserving the world’s natural resources. Today, over 1 million households use Advizzo’s solutions, powered by Amazon Web […]

This is a contributed blog post from Siddahartha Sachdeva, CEO of AWS partner Innowatts. The COVID-19 pandemic is transforming energy consumption and usage patterns. During the pandemic, commercial energy usage slumped 30%, whereas residential demand saw significant increase. These changes surface and illuminate challenges to utilities and regulators. As utilities manage the changing energy landscape, […]