1. Limit real-time analytics to relevant use cases. Business and IT leaders are often so enamored with speed that they insist every data insight be delivered in real-time.

So far, real-time analytics based on off-the-shelf capabilities has mostly been used in sectors such as transport (for customer support) and manufacturing (for monitoring production), Farmer noted.

These five companies are using real-time analytics to improve agility, respond to customers as needs change, optimize pricing, and identify inefficiencies affecting their bottom line.

Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to ...

Real-time analytics uses data science to evaluate data for trends and patterns in order to make future predictions, which is critical in responding to current market conditions.

While real-time analytics and instant operational insights may get the most publicity, and represent the long-term goal of many organizations, the real workhorse behind the scenes is streaming ...

Continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across industry sectors, such as retail, transport and banking. Their value crux: can businesses ...

Google Analytics adds a Realtime pages report, offering instant insights on page views, user engagement, and website performance. Google introduced a new Realtime pages report in Analytics.

YouTube has introduced an update to its Analytics capabilities, offering format-specific filtering for tracking realtime views. This allows creators to monitor viewership separately for Longform ...

SAN MATEO, Calif., March 01, 2023 (GLOBE NEWSWIRE) -- Rockset, the real-time analytics database built for the cloud, today announced a new release that isolates streaming ingestion from low ...