BIG DATA & ANALYTICSTECH NEWSTRENDING

Gartner: More than half of large organizations will compete using Advanced Analytics and Proprietary Algorithms by 2018

Analysts to Explore Advanced Analytics Trends at Gartner Business Intelligence, Analytics & Information Summits 2016

Mumbai, India, 28 January 2016 — Advanced analytics continues to be the fastest-growing segment in the business intelligence (BI) and analytics market, forecast to grow almost 14 percent to reach $1.5 billion in 2016, according to Gartner, Inc.

Gartner predicts that by 2018, more than half of large organizations globally will compete using advanced analytics and proprietary algorithms, causing the disruption of entire industries.

“Advanced analytics has already been changing entire industries for over a decade and is a key factor for how most new entrants disrupt established markets and beat their incumbents — whether selling books, renting movies, borrowing money or even building a professional sports team,” said Jim Hare, research director at Gartner.

“Today, with fewer regulated monopolies and the Internet eliminating geographical boundaries, more companies are starting to use statistical analysis, predictive modeling and decision optimization to compete, instead of using traditional approaches.”

Mr. Hare said that to survive in the new digital economy, end-user organizations and vendors will both need to accelerate the shift in focus of their investments from measurement to advanced analysis or risk being left behind. Leading organizations are developing proprietary algorithms that can lead to faster, more insightful analysis and are moving away from “gut feel” decision making.

Other new predictions that Gartner has made about advanced analytics include:

Through to the end of 2018, a minority of organizations will have a rigorous approach to demonstrating the trustworthiness of their analytics algorithms.

Gartner believes the trust factors influencing the ethical use of analytics are identifiable — transparent, accountable, understandable, mindful, palatable and mutually beneficial. Unfortunately, these underlying factors of fostering trusted business relationships based on data are seldom given much, if any, consideration.

“The resulting business, social and ethical impacts arising from the use of data and analytics are understood by few, ignored by many and tracked by virtually no one,” said Alan Duncan, research director at Gartner. “The resulting impacts are tangible — unrealized business opportunities, additional inefficiencies, increased brand risk and even criminal proceedings.”

Mr. Duncan said that leading data-driven organizations will increasingly recognize the causal relationships between data, analytics, trust and business outcomes. Those organizations that choose proactively to govern these ethical impacts will be able to foster more productive and trusted relationships with their customers, suppliers and employees; drive increased competitive advantage and brand loyalty; and maximize their market share in comparison with competitors that do not address these issues.

By 2018, algorithm marketplaces will be combined with Platform as a Service (PaaS) to boost advanced analytics and enable secure sharing and monetization of raw data.

Gartner believes that advanced analytics could provide significantly more benefits if there was more sharing of detailed, event-level data. However, this so far is hindered by significant licensing, trust and data integration issues. The solution will be the combination of algorithm marketplaces and PaaS-runtime environments, where only specifically certified functions are allowed to process the secured data.

“Today’s situation of sharing data is problematic,” said Alexander Linden, research director at Gartner. “Data providers don’t typically trust end users with detailed, event-level data. On the other hand, data consumers do not like the involved complexities of data licensing and data integration. As a result, there is a significant impediment to sharing and monetizing data.”

Within three years, Gartner expects technology to be available that can radically simplify the trust, licensing and data integration challenges, by placing controls on the algorithmic data processing. Only certified components will be able to run sensitive data and transform it into scoring and optimization models. In essence, the data processing will be constrained to ensure that the underlying detailed data cannot be copied, saved or reverse-engineered.

More detailed analysis is available for Gartner clients in the report “Predicts 2016: Advanced Analytics Are at the Beating Heart of Algorithmic Business.” This research note is part of Gartner’s Special Report “Predicts 2016: Algorithms Take Digital Business to the Next Level” a compilation of 85 reports focused on the top predictions and actions that will enable organizations to shape their digital future.

Gartner analysts will provide additional analysis and information on the outlook for BI and analytics at the Gartner Business Intelligence, Analytics & Information Management Summits in Sydney, Australia, Sao Paulo, Brazil and Mumbai, India and at the Gartner Business Intelligence & Analytics Summits in London, U.K. and Grapevine, Texas. You can follow news and updates from the events on Twitter using #GartnerBI.

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PRESS RELEASE

Brian Pereira

Brian Pereira is an Indian journalist and editor based in Mumbai. He is Editor-in-Chief of Digital Creed, which he founded in 2015. A technology buff, former computer instructor, and software developer, Brian has 27 years of journalism experience (since 1994). He is sound and confident about his knowledge of business technology concepts. And he is a believer in continual education/learning. Brian is the former Editor of CHIP and InformationWeek magazines (India). He has written hundreds of technology articles for India's leading newspaper groups such as The Times of India and Indian Express Newspapers (among others). And he has conducted more than 300 industry interviews during his journalism career. Brian also writes on Aviation, cybersecurity, startups, and topics directed at small and medium businesses. He achieved certifications from the EC-Council (Certified Secure Computer User) and from IBM (Basics of Cloud Computing). Apart from those, he has successfully completed many courses on Content Marketing and Business Writing. Follow Brian on Twitter (@creed_digital) and LinkedIn.

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