Why self-service analytics is replacing traditional business intelligence

Why self-service analytics is replacing traditional business intelligence

Why self-service analytics is replacing traditional business intelligence
In modern business, it is typical for organisations to use several diverse IT tools to monitor their applications, networks, and other IT components in real time. Unfortunately for these organisations, structuring IT in this way commonly leads to the formation of independent data islands, which in turn can create a one-dimensional view of IT at large.

But in order to make informed strategic decisions, organisations must acquire an IT operational analytics tool that can effectively analyse data from multiple sources and spot trends quickly in order to allow users to make the right decisions without delay.

While there are several analytics tools currently available on the market, the majority of these tools tend to be either very complicated to use, very costly to adopt, or both. On the other hand, self-service analytical tools can provide organisations with a rare combination of simplicity and affordability, making them incredibly popular among users. With the recent emergence of these comprehensive tools, every IT user can access data from various silos, acquire unified insight, collaborate with other teams, and gain the visibility necessary to make faster and smarter decisions on a consistent basis.

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In a recent survey conducted by the real-time IT management company ManageEngine, over 160 IT professionals–including CIOs, managers, and technicians from around the globe–highlighted their top priorities and most common and frustrating challenges when it comes to analysing data. Here are a few of the most insightful findings, which all coalesce to suggest that self-service analytics is here to stay.

1. Analytics is no longer just for data experts

Owing to their often high levels of complexity, traditional business intelligence (BI) tools have always been relegated to the hands of select data experts, meaning that decision making capabilities were limited to just a privileged few. Fortunately, that is no longer the case. In the modern world, data is an integral part of any business, across nearly every sector imaginable, so users need to be able to access it on a daily basis so they can make decisions on their own.


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