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ArticleAI at the core of next-generation BI
AI is part of BI platforms, but this is only the start of a new analytics generation. In a Q&A, Constellation Research analyst Doug Henschen discusses AI tools in BI platforms. Read Now
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ArticleEverything you need to know about augmented analytics vendors
Augmented analytics is set to become the newest trend in BI and analytics, and vendors are making big investments to develop products smarter for a wider range of users. Read Now
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ArticleNLP makes augmented data discovery a reality in analytics
BI vendors are increasingly using NLP technology to make their products work more like a web search, with simplified user interfaces and improved ease of use for customers. Read Now
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ArticleHow do augmented analytics and BI tools differ?
See how augmented analytics compares to traditional BI and self-service analytics tools and what this new generation of AI-powered data analysis platforms can deliver. Read Now
Editor's note
Augmented analytics tools are designed to simplify the BI and analytics process for business users and citizen data scientists. They've become featured elements in new software releases from BI vendors of all stripes looking to keep up with rivals in automating data discovery, preparation and analysis functions.
The emerging technologies include machine learning algorithms that can find relevant data and prep it for analysis, natural language processing and querying functionality, and software that suggests charts and other data visualizations. Augmented analytics "accelerates the time it takes to get accurate insights" from data sets, Gartner analyst Austin Kronz wrote in an October 2019 report.
Kronz said organizations should try out augmented analytics tools and monitor their continued development. This guide offers insights into the technology's potential uses and critical issues.
1Augmented analytics adoption, uses and issues
Gartner identified augmented analytics as a technology category in 2017. It's still an emerging part of the BI market, but augmented analytics tools are being deployed by early adopters. We report on how they're being used, their benefits and the hurdles that users face.
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Article
AI at the core of next-generation BI
AI is part of BI platforms, but this is only the start of a new analytics generation. In a Q&A, Constellation Research analyst Doug Henschen discusses AI tools in BI platforms. Read Now
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Article
Augmented BI tools speed insights with less manual labor
Through AI, machine learning and NLP, augmented analytics reduces the manual labor of traditional BI work to more quickly and accurately locate and analyze relevant data. Read Now
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Article
The benefits and challenges of augmented data discovery tools
Augmented data discovery tools enable users to gain faster insights into data, via automated data prep and pattern discovery, but they aren't without their challenges. Read Now
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Article
Why data literacy skills still matter with augmented analytics
Democratizing data analytics gives everyone access to tools and information, but data literacy is still required for analyzing data and delivering successful outcomes. Read Now
2Augmented analytics tools and related technologies
BI and analytics vendors have made augmented analytics functionality a centerpiece of their product updates. We explore the new capabilities that are being added to BI platforms as well as associated technologies for automating data science and data management processes.
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Article
Everything you need to know about augmented analytics vendors
Augmented analytics is set to become the newest trend in BI and analytics, and vendors are making big investments to develop products smarter for a wider range of users. Read Now
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Article
How the rise of augmented analytics tools affects BI vendors
BI vendors are responding to interest in augmented analytics capabilities with simplified interfaces and features that allow for access to deeper insights. Read Now
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Article
How do augmented analytics and BI tools differ?
See how augmented analytics compares to traditional BI and self-service analytics tools and what this new generation of AI-powered data analysis platforms can deliver. Read Now
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Article
Automated tools broaden the future scope of data science
Automated data science tools may make their way into the data science process, but are unlikely to ever be able to do everything human data scientists do, experts say. Read Now
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Article
Augmented data management draws more enterprise interest
With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data. Read Now
3NLP's growing role in BI and analytics applications
Natural language processing (NLP) technology incorporated in augmented analytics tools enables end users who lack programming skills to run plain-text or voice queries of data sets. We examine how NLP expands self-service BI capabilities and current limitations in what it can do.
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Article
NLP makes augmented data discovery a reality in analytics
BI vendors are increasingly using NLP technology to make their products work more like a web search, with simplified user interfaces and improved ease of use for customers. Read Now
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Article
NLP progress in BI and analytics slowed by language barriers
Natural language processing shows potential in simplifying data access and deriving deeper insights, but NLP's strengths can be its weaknesses in reaching the Promised Land. Read Now
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Article
Augmented analytics tools, NLP search, graph are trending
Augmented analytics, NLP and graph analytics are changing the data and analytics market, according to Gartner -- enabling users to more easily get at and share data. Read Now
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Article
Beyond customer sentiment: How to put NLP technology to work
Natural language processing tools and apps have finally arrived -- but how are organizations putting NLP to work? Here are some possibilities that might not be obvious. Read Now