Systems | Development | Analytics | API | Testing

DoorDash's VP of Analytics & Data Science, Jessica Lachs on Leveraging Data to Delight Customers

Who’s hungry? Thanks to delivery apps like DoorDash, it’s never been easier for modern consumers to satisfy almost any craving in just a few taps. At the helm of DoorDash’s data organization is VP of Analytics & Data Science, Jessica Lachs. With metrics guiding every decision at the company, a key part of her decision-making comes down to properly quantifying the value of each possible tradeoff. Learn more about her decision-making framework, plus how her career in finance evolved into entrepreneurship and ultimately led her to create the data and analytics organization at DoorDash.

How To Use Saved Cohorts in Moesif

Saved Cohorts are the driving force behind many features in Moesif such as Dynamic Sampling, Behavioral Emails, and Governance. Saved Cohorts are dynamic lists of users (or companies) that match a defined criteria. Cohort notifications can enable your teams to be notified the minute users start experiencing problems. In this tutorial we’ll take a look at how to set up a simple Saved Cohort, enable notifications, and take a peek at the incredible features that take advantage of Saved Cohorts like Dynamic Sampling, Behavioral Emails, and Governance.

Cloudera Data Platform (CDP) One

Data analytics is a big deal, with big goals, and even bigger transformation. Unlocking that potential often requires big complex projects, big teams, and big budgets. Introducing Cloudera Data Platform One or CDP One. An all in one cloud service that radically simplifies the entire data lifecycle from ingestion to analysis while delivering the power of an enterprise data platform with the simplicity of a turnkey solution. CDP One integrates with all your existing tools, bringing all your siloed data together in an open data lake house without the need for specialized ops and cloud expertize.

Building Agility & Resilience Into Your Supply Chain

Organizations today are faced with many challenges as they build agility into their supply chains. Siloed systems and data present a huge challenge and ultimately lead to many manual and unsustainable processes to try and fill capability gaps. It is also difficult to leverage artificial intelligence to predict and automate in these siloed environments. In addition, the lack of visibility across the supply chain represents another big challenge and puts organizations in constant reactive mode to any disruption that occurs.

Vivint Gets Smarter With The Snowflake Data Cloud

Vivint Smart Home is a leading smart home company in North America. Vivint delivers an integrated smart home system with in-home consultation, professional installation and support delivered by its Smart Home Pros, as well as 24/7 customer care and monitoring. Hear how Vivint is able to get to the answers quickly and deliver the best experience for their customers and teams with the Snowflake Data Cloud.

How to extend Kafka pipelines to users over the public internet

In the realms of event streaming, Kafka has become the number one choice for many organizations. It’s capable of handling and processing vast amounts of critical, time-sensitive event data. But Kafka isn’t designed for distributing data between internal systems and consumers on the public internet. Yet rich, live digital experiences are a must-have as far as users are concerned. They are increasingly becoming a key source of differentiation. In this webinar we will show you how you can harness the power of Kafka, to deliver engaging realtime application to users, using Ably.