Deliver an Impactful Customer Experience Strategy in 5 Steps

Marketing, sales, and growth leaders are screaming “customer is king”. There is a palpable FOMO around customer-centricity: But what we are missing is a concrete guide that showcases how to build better customer experiences. In this step-by-step guide, we will dive deep and showcase how to set up a customer experience strategy from the ground up to delight your customers.

GoPay: Seamlessly scaling data operations to 100M payments

GoPay, the fully integrated payment solution, serves over 18.000 merchants. As a payment gateway, GoPay processed over 100 million transactions, connecting merchants, retail customers, and financial institutions in a seamless payment experience across mobile, desktop, and web. Their work is challenging - on one hand, the data they work with needs to be thoroughly validated to comply with financial regulations.

JetBlue flies high with Fivetran to fuel real-time analytics

#Bigdata has been revolutionizing the #airline industry. With the help of a #moderndatastack, JetBlue, one of the largest airlines in North America, is reimagining what’s possible with real-time data.

JetBlue’s Ashley Van Name shares how Fivetran helps the company grow and innovate with data — a journey where the sky’s the limit: https://5tran.co/3tCVXhM

Building a Churn Insights Dashboard with Continual and Streamlit on Snowflake

In this tutorial, we’re going to build an interactive customer Churn Insights Dashboard using the open-source Python framework, Streamlit, and the Continual predictions generated in Part 1: Snowflake and Continual Quickstart Guide. In Part 1, we connected Continual to Snowflake and used a simple dataset of customer information, activity, and churn status to build and operationalize a machine learning model in Continual to predict the likelihood of a customer churning.

How to Use Integrate.io to Transform Ecommerce Data

How are people discovering your Ecommerce business? What factors make a new buyer most likely to become a recurring customer? Why did a best-selling product on your Ecommerce website suddenly plunge in popularity? The answers to these questions and more can be found when you transform Ecommerce data to extract the insights hidden within. Of course, to do so, you’ll need a powerful, robust, and production-ready ETL and data integration platform like Integrate.io.

What you need to know about Google Analytics 3 and Google Analytics 4

Google recently announced that the current Google Analytics 3 (Universal Analytics) will come to an end in July 2023 (now extended until October 2023) and they’ve encouraged all current users to start using the new GA4. Google Analytics 4 is the new version of the current GA reporting portal that current users have used to analyse the performance of their sites.

ClearML Autoscaler: How It Works & Solves Problems

Sometimes the need for processing power you or your team requires is very high one day and very low another. Especially in machine learning environments, this is a common problem. One day a team might be training their models and the need for compute will be sky high, but other days they’ll be doing research and figuring out how to solve a specific problem, with only the need for a web browser and some coffee.

Introducing Unistore, Snowflake's New Workload for Transactional and Analytical Data

Snowflake has once again transformed data management and data analytics with our newest workload—Unistore. For decades, transactional and analytical data have remained separate, significantly limiting how fast organizations could evolve their businesses. With Unistore, organizations can use a single, unified data set to develop and deploy applications, and analyze both transactional and analytical data together in near-real time.