The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

LONDON--(BUSINESS WIRE)--A global data analytics and advisory firm, Quantzig, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of their ...

Uncover the benefits of data visualization for HR leaders, enabling swift responses and insightful workforce analysis today.

It offers four tabs under Visualize that include Chart type, Refine, Annotate, and Layout. The last one lets you view your ...

Businesses make decisions based off of data, but for some people, data can be difficult to interpret if they don’t know what to look for. Popily has a solution launching today that it claims could ...

In the age of accelerated digital transformation, data is integral to day-to-day operations and long-term planning. To help transition innumerable data points into a more comprehensive narrative, ...

SAN FRANCISCO--(BUSINESS WIRE)--Observable, the collaborative data visualization company, today announced a new Enterprise tier that offers enterprise-focused features including advanced security with ...

The Qlik Connect gathering in Orlando brought together a wide range of customers and company executives who offered their perspectives on how robotics, AI and data visualization solutions from ...

Data is everything in the business world. It tells companies where they’re succeeding and what they need to work on. However, having data isn’t enough. You also need the ability to view the data in a ...

According to Gartner Peer Insights Reviews and Ratings, Microsoft (Power BI), Tableau, and Qlik are frequently the industry leaders in analytics and business intelligence platforms. However, how do ...

Like any technology, data visualization tools can be used poorly. We share expert tips for getting the most value out of data visualizations in business. It’s one thing to see a blur of numbers on ...

The biggest trends we’ve seen in data over the past decade are; the sheer growth of data set sizes, coupled with the increasing complexity of analysis and data science, and the resultant realization ...