In this era, where “data is the new oil,” successful companies will base their competitive muscle on their ability to use data effectively and quickly.

Today, nearly every business is transforming itself to become a modern digital company that is constantly innovating to keep up with changing customer behaviors. With this modernization, organizations are receiving an unprecedented amount of information from a variety of data sources across their business at near real-time speeds. Couple this with the need for company leaders to know what is going on within their organization at all times has created complexities and “intelligence gaps,” which, if not properly addressed, could lead to detrimental effects. In this article, I will discuss these gaps in more detail and how continuous intelligence can help.

See also: How Kubernetes and Containers Enable Highly Scalable CI Applications

The Modern Applications Gap

With new modern architectures also comes new modern complexities. Since workloads can be broken down into small components and distributed across cloud environments, this only adds more components to systems that teams need to manage, capture, and analyze. Unfortunately, many of today’s teams do not have the tools to navigate these complexities. Addressing this gap is vital to improve customer engagement and satisfaction.

The Multi-Cloud Intelligence Gap

Today, enterprises are adopting a multi-cloud strategy to avoid vendor lock-in so they can create the best technology stack for their workload needs. But with multi-cloud adoption also come challenges around digital sprawl due to siloed architectures and management tools that provide only partial views and are not scalable for real-time cloud environments. In order to close this gap, companies need full visibility across their entire heterogeneous architecture environment in real-time and across multiple use cases.

#analytics #from our experts #cloud-native #continuous intelligence #real-time analytics #artificial intelligence