Tell most data analytics practitioners that much of their ETL efforts might not be the best way to do things, and they’ll react with disbelief. After all, that’s the way they’ve always operated.

In their 2020 book Competing in the Age of AI, Marco Iansiti and Karim R. Lakhani explain that “analytics systematically convert internal and external data into predictions, insights, and ...

Oracle Advanced Analytics consists of Oracle R Enterprise, along with the vendor’s existing Data Mining module. It’s available as an Oracle 11g database option and costs US$23,000 per ...

Predictive analytics help drive data-driven decisions for process improvement and optimization, but data and insights must be handled properly. Predictive analytics 101. Predictive analytics are a ...

To address this big data challenge, organizations need the highly skilled data scientists, the tooling, and the domain expertise to unlock the value of their data assets. Further, organizations ...

Big data, advanced analytics and customer engagement get top billing in the McKinsey Global Survey report, which highlights the potential revenue boost of targeted customer engagement through ...

The Office of Personnel Management and other agencies planning advanced analytics pilots must partner with vendors to tailor solutions to their specific mission needs.. OPM revealed that it is ...

With advanced data analytics, asset managers can survive short-term challenges and build a foundation for long-term growth. Here’s how asset managers use data analytics to enhance investor outcomes.

The Department of Justice is using advanced data analytics to discover suspicious healthcare activity, enabling the agency to crack down on healthcare fraud.. Through analytics, 16 people in Michigan ...