Systems | Development | Analytics | API | Testing

5 Things to Know Before Starting Your Next Process Automation Project

Process automation is a worthy goal for any organization. Automation unleashes human innovation, increases process effectiveness, and empowers your operations to adjust to change. But taking a pell-mell approach to automation will put these benefits at risk—you might actually create new inefficiencies you’ll have to rectify later. So before you get started with process automation, keep these five key things in mind.

Snowflake Workloads Explained: Data Lakes

Snowflake’s cross-cloud platform breaks down silos by supporting a variety of data types and storage patterns. Data engineers, data scientists, analysts, and developers across organizations can access governed structured, semi-structured, and unstructured data for a variety of workloads, without resource contention or concurrency issues.

The practical guide to QA strategy for startups

Whether you’re formulating your startup’s first QA strategy or you’ve realized your existing strategy is undermining your otherwise-agile methodologies, this post is for you. In this piece, we focus on the practical frameworks and practices that’ll help you lay a strong foundation for quality assurance in your org. Among other things, you’ll learn: Before we get into it: any strategy needs support to succeed.

Power BI Data Preparation in 5 steps

Microsoft Power BI is a fantastic tool for data visualization and business intelligence. But as any data analyst can attest, before you can build metrics and dashboards, you need to spend more than 1/3 of your time preparing and cleaning the dataset for your Power BI instance. Luckily, there is a better way to cut down on this time-consuming task. In this article you will learn.