As an e-commerce retailer, which business metrics matter the most to you? Net revenue? Business growth? Conversion rate? All these KPIs are important, but there could be one critical e-commerce metric you’re overlooking: The repurchase rate. All e-commerce business owners worry about how many units of their products or services they’re going to sell, and how much revenue they’ll make. It turns out that focusing on existing customers could be the key to increased long-term revenue.

The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization.

We are excited to announce that Integrate.io has achieved Google BigQuery designation! Google's BigQuery service is a great way to store and analyze large amounts of data. To ensure customers have confidence in their integration, Google engineers do validation tests on the integrations before they're allowed into their system - making sure everything works as expected!

In today’s digital age, robust and faster data analytics is essential for your organization’s growth and success. The faster you deliver analytics-ready data to your analyst, the faster they can analyze and derive insights. Though you would have adopted the ELT process with EL data pipelines to load data quickly to the warehouse, your team would still face inefficient and delayed analysis.

Welcome to the Spring 2022 Edition of the Modern Data Stack Ecosystem. In this article, we’ll provide an in-depth look at the Modern Data Stack (MDS) ecosystem, updated from our Fall 2021 edition. We also highly recommended our article, The Future of the Modern Data Stack, to anyone who is new to the MDS and wants to learn about its history.

What’s SEMrush and which features work best for tracking and improving your search rankings? Here’s everything you need to know.

Don’t take our word for it – hear what our customers have to say.

To this point, AI has been applied to augment analytics in a somewhat bifurcated fashion. On one hand, we have seen natural language support the business consumer that requires simple answers to known questions, helping them quickly take action. And, on the other, AI helps content authors and BI developers auto-suggest charts and automate data preparation, improving efficiency and reducing manual workloads. But, there’s a gap, and the value is huge.