Data Analytics Trends in 2022
Also see: What is Data Analytics? A Guide to Data Analytics
Data analytics has become a chief driver of competitive advantage in the last few years. Given its critical importance, it’s essential that businesses stay current with top trends in the data analytics space, along with how those trends influence a number of related technologies.
Those related technologies include cloud computing, the growth in artificial intelligence software, machine learning, and edge computing, among several others. Let’s explore some top trends shaping the future of data analytics.
Trends Driving Progress In Data Analytics
Growth of AIOps
The growth of AIOps is parallel that of data analytics. This is because it addresses the biggest issue that data analysis faces moving forward: abundance.
With the evolution of 5G and the Internet of Things (IoT), as well as higher consumer and user analytics, IT teams handle far too much data for traditional methods to handle. AIOps accounts for this, and moves towards a holistic approach towards analyzing data. Expect AIOps to accelerate the transition away from data silos.
The rise of AIOps will bring a number of benefits for how businesses leverage data and analytics. One major benefit of the growth of AIOps is preventing alert fatigue. Because AIOps account for a massive amount of data, software solutions built with AIOps at their core can filter through alerts by understanding which events are essential and immediate, and which are less important outliers.
Data Democratization
Data democratization refers to the practice of making data accessible throughout all departments of a business, not just the C-suite and IT team. Data democratization is at the core of digital transformation.
This idea of understanding and accessing data no matter your tech expertise can bring about new self-service data analytics tools. We’re already seeing this with low-code solutions.
There are a number of benefits to data democratization to look forward to:
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