Rohit Amarnath is CTO of Vertica, a unified analytics platform that enables predictive business insights based on a scalable architecture. There’s no debate: Data is one of the most valuable ...

Home; Insights; Opinion; The role of data analytics in industry 4.0. Efficiency and increased profits are not the only advantages of adopting an Industry 4.0 model ...

As part of VTS 4, the VTS Demand Model aggregates data around three key areas of the VTS Platform: real-time supply and demand data, marketing analytics, and pricing data.

A new Search Console integration, data-driven attribution and new machine learning models meant to fill in measurement gaps are coming to Google Analytics 4 (GA4), Google announced on Tuesday ...

Figure 1: Centralized model for data & analytics management. In practice, however, there’s a few big problems with this approach. First, the data has to be so carefully curated and loaded, ...

Data analytics at the heart of business model renewal, digital transformation? Well yes - but it's only part of the story. Information technology has enabled the upheaval of longstanding business ...

Unfortunately, this is not true about the upgrade to Google Analytics 4. Data is collected differently, stored differently, ... How the event-driven data model solves this problem.

Predictive analytics determines a likely outcome based on an examination of current and historical data. Decision trees, regression, and neural networks all are types of predictive models.

People Analytics has exploded - companies are now capturing extensive data about their employees and HR departments are finally getting their act together to analyze, manage, and protect this data.

For example, if I prompt Propensity or Bard to "Add 2 + 2," the AI model "interprets" that 2 + 2 should equal 4, rather than specifying the number type for 2 + 2 and calculating a value of 4 ...