Explore the top Data Analytics trends and stay ahead
Continuous intelligence combines data and analytics with transactional business processes and other real-time interactions. It leverages augmented analytics, event stream processing, optimization, business rule management and ML.
By 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions.
What does Continuous Intelligence enable?
Continuous intelligence improves the quality and precision of a wide variety of operational decisions because it incorporates more kinds of trusted data into the algorithms that are used to compute decisions. It is relevant to real-time and near-real-time decisions where there is a benefit to having an understanding of the current situation (or events in the past few seconds or minutes).
Systems are able to process high volumes of data quickly, shielding people from overload. They are able to apply rules and optimization logic to evaluate far more options than a person could consider in the available time.
How Does This Impact Your Organization and Skills?
Continuous intelligence has a bigger impact on data and analytics teams than most of the other trends outlined here because it directly affects transaction processing, customer-facing, logistics, B2B and other operational systems.
Data and analytics teams must work hand in hand with application architects, application developers, business process management analysts, and business analysts to design, build, deploy and maintain the systems.
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Gartner Data & Analytics Summit has a dedicated track to cover all your needs about continuous intelligence.