Choosing the right business intelligence (BI) solution is pivotal for independent software vendors (ISVs) and enterprise organizations aiming for data-driven decision-making. But with so many preferences and use cases to account for, certain considerations can, initially, get overlooked. Centralized business intelligence (BI) is one such topic that requires careful preparation to achieve a nuanced understanding.

The new contribution analysis model in BigQuery lets you analyze metrics of interest from your dataset across defined test and control subsets.

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX).

Have you ever struggled to make the value of your data clear to your audience? Numbers and charts are great, but on their own, they often lack the power to inspire your audience to care and act. People also find it hard to understand the results from metrics alone. Conveying the importance of your data, and translating what it means (and why your audience should care) thus requires more context. That's where Stories comes in.

When optimizing costs, learn about the different factors that influence variance in BigQuery compression ratios.

Imagine a world where your sensitive data moves effortlessly between clouds – secure, private, and far from the prying eyes of the public internet. Today, we’re making that world a reality with the launch of Cloudera Private Link Network. Organizations are continuously seeking ways to enhance their data security. One of the challenges is ensuring that data remains protected as it traverses different cloud environments.