A New Data Frontier: The Value of Streaming Analytics to a Data-first Business

When it comes to business initiatives driving technology spend, 1 in 3 organizations state that their top initiative over the next 12 months is to improve their data analytics for real-time business intelligence (Enterprise Strategy Group).

This is largely driven by the fact that when using data to make informed business decisions, it is no longer enough to rely on business intelligence derived solely from historic (big) data. Instead, to keep pace in the digital era, insight must be combined – even supplanted – by continuous real-time data analytics.

Taking advantage of real-time analytics, however, is not so straightforward. Data is growing, distributed data environments are increasingly dynamic, and with so many vendors and tools to choose from, organizations need help.

In this discussion, ESG Senior Analyst Mike Leone is joined by Conor Twomey, Head of Customer Success at KX and Kiran Singh, Data Analytics & Data Science Leader at NextEra Energy, to discuss in-depth how organizations can find clarity from the chaos.

Watch them to learn about:

• The business objectives driving the need for faster decision making through streaming analytics
• The common challenges preventing success and the capabilities that matter most in streaming analytics platforms
• What to look for in a modern data platform and how to determine if it is right for your business
• How the cloud is supporting real-time data initiatives across different industries
• A customer case study and common use cases for analytics that are delivering proven value for organizations
• And more

• Mike Leone, Enterprise Strategy Group
• Conor Twomey, Customer Success MD, KX
• Kiran Singh, NextEra Energy