This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization.

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them.

Many organizations are working to become more data-driven – increasing data use and leveraging data insights to improve decision-making, solve their most challenging problems and improve revenue and profitability. A February 2020 IDC survey showed a direct correlation between quality decision-making and strong data-to-insight capabilities; 57 percent of organizations with the best data analytics pipelines received the highest decision-making score.

Use these five strategies to align key resources and ensure that insights guide your decision-making.

Data Scientists can drive innovation and growth, but you need to put in place the right foundation to fully unlock business value.

Keep in mind that these instructions are a starting point. You may need to change some of the steps to harden your environment when running in production. For more detailed information, visit our Kong Gateway documentation.

Spring Boot is a powerful application framework for creating production-grade Spring based Applications. It allows for developers to very quickly and easily get sites up and running, with databases and more. In this tutorial, we’ll be going over WebSockets, Pub/Sub, and how to make the most out of these in your Spring Boot applications.

As an R&D manager, there are many things on my mind that keep me up at night. These thoughts range anywhere from impossible research explorations, employee motivation, rising cloud costs, all the way to security incidents. However, there is one that sweeps all of them aside when they surface and that is solving customer facing issues.

As a startup in the fintech sector, Branch helps redefine the future of work by building innovative, simple-to-use tech solutions. We’re an employer payments platform, helping businesses provide faster pay and fee-free digital banking to their employees. As head of the Behavioral and Data Science team, I was tapped last year to build out Branch’s team and data platform. I brought my enthusiasm for Google Cloud and its easy-to-use solutions to the first day on the job.

Last week, insurance industry expert Rob Galbraith introduced us to “The 7 Fatal Flaws of Insurance." This week, Galbraith weighs in on low-code automation as a competitive advantage in the $5 trillion insurance industry. “For a $5 trillion industry as mature as insurance," says Galbraith, “technology that can help solve any one of the seven fatal flaws would make a pretty good business. There's a lot of room for improvement.”