Databox polled dozens of marketers and salespeople to find out which one does a better job at generating leads, qualifying prospects, and ultimately closing sales.

Today, we want to share a number of updates that will make data analytics easier and more accessible to all businesses. Our goal is to help you focus on data analysis instead of infrastructure management, give you the freedom to orchestrate workloads across clouds, use machine-learning in a way that's integrated with your data analytics operations, and take advantage of open source data processing innovation.

For the past two years, Snowflake and Talend have joined forces developing deep integration capabilities and high-performance connectors so that companies can easily move legacy on-premises data to a built-for-the-cloud data warehouse. Snowflake, which runs on Amazon Web Services (AWS), is a modern data-warehouse-as-a-service built from the ground up for the cloud, for all an enterprise’s data, and all their users.

Out of the hundreds of BI analysts I’ve interacted with over the years, there are five that stand out as exceptional. To me, they stand out as the big-picture thinkers who have a clear passion for the BI space. Rather than just thinking mechanically about vendors, they’re focused on the broader role and evolution of data analytics and BI as a whole. This is my list of the top five data analysts to follow.