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.
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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.
The Continuous Security Gap
Organizations are under constant attack by cybercriminals who are trying to access critical data. The combination of fast-evolving cyber-attack techniques and an ever-expanding digital threat surface has stretched security teams to the limit. The outdated method of “throwing bodies at the problem” isn’t going to cut it anymore, especially since finding security talent with skills to identify modern threats are in short supply. Enterprises need to break down silos that inhibit modern security workflows to enable SecOps teams to collaborate with common analytics and workflows to filter the real threats from noise.
The Collaboration Gap
Teams are struggling with collaboration due to antiquated, siloed systems that only present a partial view of data and lack real-time context around what is happening broadly across the organization. Having the ability to provide contextual information and insights across multiple use cases from a single source of truth is critical to facilitate collaborative thinking and speed decision making. This is especially important for teams, such a developer, security, and operations, who need to operate at a faster business velocity.
The Business Value Gap
According to the research firm, IDC, they project the amount of digital data generated (what IDC calls the Datasphere) will grow to 175 ZB by 2025. With the growing volume of data coming from various sources, such as logs, metrics, metadata, and more, digital businesses have a prime opportunity to extract real-time insights and business value from this data. Companies that effectively transform this tsunami of data into intelligence can be used to address multiple use cases and lead to business success.
Minding the Gap with Continuous Intelligence
So, what can enterprises do to close these important gaps within their organization? This is where continuous intelligence can help. By leveraging real-time analytics and insights from a single, cloud-native platform across multiple use cases will not only help close the aforementioned intelligence gaps but also accelerate the shift to continuous innovation.
In this new era, where “data is the new oil,” the companies that are going to thrive are those that base their competitive muscle on their ability to leverage their data effectively and quickly.
