Analytics

At Next ‘23, Exabeam, Dun & Bradstreet, Optimizely and LiveRamp shared how they use BigQuery and Google Data and AI Cloud for data monetization.

ZoomInfo and Google Cloud recently expanded their partnership to offer ZoomInfo’s Data Cubes for Google Cloud customers via Google Analytics Hub.

In the marketing world, acquisition metrics (like traffic) get a lot of press, but when we asked marketers about their essential website KPIs, many talked about measuring engagement on their sites. That’s, in part, because traffic tells you more about the efficacy of promotion than it does about your website itself. To get more detail around which metrics matter for website engagement and why we asked marketers to share their #1 most important measure of website engagement.

Data integration is essential for analytics, regression analysis and your first forays into generative AI.

Are you trying to move your data from Google Analytics to BigQuery? Are you confused about how to do this easily? If yes, then you are in the right place. This blog covers various methods to connect Google Analytics to BigQuery in a few simple steps.

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations—mainly data centers—has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

We are excited to announce the general availability of Snowflake Event Tables for logging and tracing, an essential feature to boost application observability and supportability for Snowflake developers. In our conversations with developers over the last year, we’ve heard that monitoring and observability are paramount to effectively develop and monitor applications. But previously, developers didn’t have a centralized, straightforward way to capture application logs and traces.

To ensure a frictionless AI/ML development lifecycle, ClearML recently announced extensive new capabilities for managing, scheduling, and optimizing GPU compute resources. This capability benefits customers regardless of whether their setup is on-premise, in the cloud, or hybrid. Under ClearML’s Orchestration menu, a new Enterprise Cost Management Center enables customers to better visualize and oversee what is happening in their clusters.