Data practitioners should bring best practices from BI, especially automated data integration, to data science.

The shift from single public cloud architectures to hybrid multi-cloud continues at enterprises around the globe, as organizations look for greater control, lower costs, and improved performance. I had the opportunity recently to speak with Vaughn Eisler, director of business development at Equinix, about this massive shift and some of the complex reasons behind them. Eisler sees several reasons for the movement.

The Head of Business Intelligence (BI) oversees the use of software for data analytics and decision-making. Finding the right person for this role is critical because it's likely a key part of your business's broader BI implementation and team-building strategy.

New insightsoftware Platform connects financial analytics, reporting, and performance management solutions to share data across applications, solve business problems faster, and do more with less.

As CEO of Qlik, I have never been more excited about the market, our strategic vision, and the value we bring customers all around the world. We have always been focused on looking forward and providing the most comprehensive and trusted solutions to our customers. Now, with Talend's cloud data integration and data quality solutions, we can offer even more.

Self-service analytics, also known as self-service business intelligence (BI), means different things to different people. For some, it might just mean an interactive report which lets them drill up and down a hierarchy or maybe switch to a different metric. For others, it might mean complete freedom to access anything in the company’s data warehouse in order to generate strategic insight.

During QlikWorld ’23 in Las Vegas, we were thrilled to announce the general availability of Data Console in Talend Data Inventory. With data-driven decision making becoming more crucial for organizations, it’s never been more important for users to have access to high quality data.