We will be in contact shortly.
The Microsecond Mindset Podcast Series covers the positive impact technologies like streaming analytics can have on industries as diverse as motor racing to financial services, to the steps and best practices businesses can follow to make the most of investments. Across the first three episodes, we’ll spotlight success stories from companies who are making smart data decisions.
To kick-off the show, we’re talking to tech journalist Alex Woodie, who’s been writing about data and computing for nearly 25 years. We asked him how real-time data impacts both consumers and businesses, how it works with other cutting-edge technologies and what needs for happen for this to be the year that real-time takes off at full speed.
Everyday, James Corcoran, VP Engineering at KX, helps businesses build a culture and capability around real-time data analytics and continuous intelligence. In this episode, he talks about how businesses can jump aboard the real-time train, walking us through the five steps organizations can take to get the most out of real-time data.
Listen as Dan Chick, CTO Zipabout, talks about how incorporating real-time analytics revolutionized Zipabout’s business, how the company overcame challenges in adopting a microsecond mindset, and what advice he’d share with fellow businesses looking to achieve data analytics at speed.
While not every firm needs to be operating at the sub-second level, all data is created in real-time. Our customers tell us that by utilizing data at its optimal value they significantly increase operational and commercial performance and stay ahead of the competition.
Thanks for downloading.DOWNLOAD
Download our new report which provides a deeper look into the findings of independent research commissioned by KX to understand the modern data landscape of nearly 600 UK and US data leaders and IT decision-makers working in medium to large enterprises across a variety of industry sectors.
While 90% of firms believe that in order to remain competitive over the next three years, they need to increase investment in real-time data analytics solutions, less than one-third (31%) of firms are currently thinking at the second or sub-second level. What can we learn from these sub-second pacesetters and how can we put those learnings into action?