#real-time-analytics

#real-time-analytics

The sporting calendar is full of big events, but some end up being unforgettable. And this year's Ryder cup golf tournament at Bethpage Black golf course in New York was one of them, not just for what happened on the course, but also off it. But as the action and drama on and off the golf course unfolded, underneath it all was an element that kept everything running: the performance of the network on which the event's management relied on.

Customer experience is entering the sci-fi age: knowing and understanding customers on an individual level, providing personalized service, and dedicated moments. All of this is becoming possible thanks to technological innovation. And as it shifts, we're moving beyond the age of reactive service, where customer satisfaction was measured by stale, bi-annual surveys. We're entering an era of proactive, predictive customer care.

With over 60% of Google searches ending without a click and consumers turning to AI tools like ChatGPT for answers, the traditional playbook is crumbling. Marketing, as we know it, is broken. But where there's disruption, there's opportunity. Enter the Loop Framework, a innovative approach designed to not just survive but thrive in this new era of AI-driven consumer behavior.

Google recently introduced a columnar engine for its globally distributed database, Spanner, intending to resolve the long-standing conflict between online transaction processing (OLTP) and analytical query processing (OLAP). The new feature, currently in preview, allows Spanner (Enterprise and Enterprise Plus editions) to handle both workloads simultaneously on a single database, eliminating the need for separate data warehouses and complex ETL (Extract, Transform, Load) pipelines.

The Enterprise Data Integration Platform on AWS Cloud has transformed organizations' capacity to leverage information assets despite challenges of fragmented data ecosystems.