Systems | Development | Analytics | API | Testing

When is it Time to Upgrade Your Data Visualization Software?

Analytics and data visualization are essential parts of modern business intelligence (BI). These tools help you better understand your business and improve overall decision-making. However, as your data grows and your users' analysis needs evolve, it may be time to upgrade your visualization solution to achieve better capability and reporting.

Top 5 Best Practices for Moving to Oracle Cloud ERP

Oracle Cloud ERP enables businesses to harness the power of the cloud with built-in security, easy access to data, and native reporting tools. Offering scalability, security, and greater visibility into your organization’s information, this ERP comes with a variety of benefits. But when you’re looking to transition into a cloud-based ERP, where do you start? Here, we discuss the top five best practices of moving to Oracle Cloud ERP.

How The London Stock Exchange Group Built Their Corporate Data Cloud With Snowflake

The London Stock Exchange Group (LSEG) is a UK-based stock exchange and financial information company, supporting high-profile customers with a wide range of services across trading, analytics, and technology. In a recent fireside chat with LSEG at Data for Breakfast London, we spoke to Andrew Carruthers, the company’s Director of Corporate Data Exchange. During the conversation, we discussed how his team built a credible proof of concept that formed the basis of the organization’s new corporate data cloud, powered by the Snowflake Data Cloud.

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.