Here is our selection of the key trends shaping the worldwide analytics and business intelligence (BI) market beyond 2019, according to Gartner’s recent report ‘Hype Cycle for Analytics and Business Intelligence.’
Augmented Analytics
Data analysis is fast evolving into augmented analytics that uses advanced machine learning algorithms to automate everything from data preparation to insight discovery and data modelling for business applications.
According to Gartner, the modern analytics platforms and business intelligence of the future will rely on augmented analytics to deliver on-point, unbiased and accurate analysis to organisations in less time, and without costly upskilling requirements for data scientists.
Relationship Analytics
Data analytics transforms raw, unconnected data into rich visuals and graph databases that form together a network of inter-connected people, locations, numbers and other things. This network is changing and shaping to reflect new context and associations.
Relationship analytics provides deep insights into this network to reveal behaviours, trends, and prediction that improve decision-making. This type of analytics is focused on discovery and can also reveal surprising results, such as identify illegal behaviour and criminal activity, according to Gartner research.
Decision Intelligence
Managing various data from different and expanding ecosystems is a complex process, one that will lead to new data exploration and decision-making techniques. According to Gartner, tomorrow’s leaders will rely on decision intelligence to manage data more efficiently and facilitate the answers they need.
In a nutshell, decision intelligence provides a framework that brings together traditional and advanced techniques to design, model, align, execute, monitor and tune decision models. The goal is to minimise the unpredictability of decision models and the uncertainty of factors and behaviours influencing business decisions.
Click here to access the full report ‘Hype Cycle for Analytics and Business Intelligence, 2019.’
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