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This ESG Economic Validation was commissioned by Amazon and is distributed under license from TechTarget.
By Tony Palmer, Principal Validation Analyst
October 2022
Executive Summary
Finding critical information is getting harder every day for organizations
of all sizes, due to ever-increasing data volumes, types, and locations.
When using traditional search solutions, customers are faced with
numerous challenges, such as inaccurate keyword searches, complex
implementation, manual tuning, and ongoing maintenance. This results
in lower employee productivity, negative customer experience,
increased risk and liability, and organizations making decisions based on
incomplete or outdated information. Amazon Kendra is an intelligent
search service powered by machine learning (ML) that enables users to
get accurate answers quickly using natural language processing and
advanced search algorithms.
ESG validated that Amazon Kendra helps organizations access the
information they are looking for faster. Amazon Kendra's AI-powered
search has increased employee productivity by 25%, saving time
previously spent parsing through search results. Organizations used Amazon Kendra to reduce time to insights and innovation,
improve customer experience, collaborate more effectively, and reduce risk and potential liability by finding the right compliance
documentation.
Our models predict that organizations using Amazon Kendra to build an enterprise search tool could lower their 5-year cost of
ownership by up to 82%, as compared with traditional search solutions. Amazon Kendra can save organizations millions of dollars
through increased employee productivity, risk and liability reduction, and improved decision-making.
Enterprise Strategy Group | Getting to the bigger truth.™
ESG Economic Validation
Analyzing the Economic Benefits of
Intelligent Search using Amazon Kendra
