Slideshow 10 analytics and BI predictions for carriers to consider

The power of analysis is transforming organizations and industries, according to Gartner analysts Douglas Laney, Guido De Simoni, Rick Greenwald, Cindi Howson, Ankush Jain, Valerie A. Logan and Alan D. Duncan, authors of the new report "100 Data and Analytics Predictions Through 2022." They write that “Subjective decisions such as employee recruitment or product branding are increasingly data-driven, and objective decisions such as logistics planning or customer risk analysis are being made using more sophisticated analysis on more complex data than was previously available.” Look to see analytics adapt to the needs of employees and customers rather than forcing them to adopt traditional approaches to producing and consuming analysis.

75 percent of prebuilt reports will be replaced with or augmented by automated insights delivered on a "most needed" basis by the year 2021, Gartner predicts.

Every personalized interaction between users and applications or devices will be adaptive by the year 2022, Gartner predicts.

30 percent of customer interactions will be influenced by real-time location analysis by the year 2022, up from 4 percent in 2017, Gartner predicts.

Artificial intelligence and deep learning techniques will replace traditional machine learning techniques as the most common approach for new applications of data science by the year 20223, Gartner predicts.

A scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations by the year 2024, Gartner predicts.

Three evolutionary trends apply across the diverse set of data and analytics markets, The Gartner analysts write. These include “intelligence for everyone, the ‘spread of smart’ and the journey into context. Vendors of data and analytics tools should build and market their solutions to support these trends.

Modern BI platforms with augmented data discovery capabilities will show two times the adoption growth rate of all other modern BI platforms by the year 2020, Gartner predicts.

Cloud-based machine learning services from the hyperscale cloud providers (Amazon, Google and Microsoft) will achieve the digital tipping point of 20 percent share in the data science platform market by the year 2022, Gartner predicts.

Wider customer access to location intelligence will see half of all D&A projects include location data as a key data source by the year 2023, up from a third of D&A projects today, Gartner predicts.

Vendor revenue growth from Apache Hadoop will slow to 25 percent by the year 2025, down from 68 percent in 2016, Gartner predicts.

60 percent of D&A cloud vendors will use only third-party infrastructure as a service (IaaS) solutions and will stop running their own infrastructure by the year 2022, up from 30 percent doing this today.