RTInsights Team

Traditional BI tools can’t deal with big, fast data.

Cisco and SAS plan to link their hardware and software for IoT analytics across an industrial network.

Getting business insights from IoT projects requires companies to overcome challenges related to data integration, data quality, and actionable business intelligence.

IoT projects typically have three challenges: data integration, data quality, and actionable analytics. Here’s how companies can overcome those hurdles.

How Humana created a rules engine to screen patient prescriptions for potential adverse drug effects.

How do you manage investment risk for a billion data points?

A 55-page report on the state of enterprise Hadoop adoption, including vendors, use cases, and challenges.

How do you get an IoT project off the ground?

How much speed does your business need?

PYMNTS.com Internet of Things Tracker for January reports on how Hyundai, Ford and Volkswagen, are incorporating virtual assistants into to their vehicles’ designs.

They agreed to pay $3.7B for AppDynamics and its cloud applications and business monitoring platform.

Why a modern analytics approach involves fast data and fast intelligence.