{"id":4606,"date":"2019-05-20T16:44:11","date_gmt":"2019-05-20T20:44:11","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=4606"},"modified":"2019-07-25T16:26:29","modified_gmt":"2019-07-25T20:26:29","slug":"gartner-names-4-cool-vendors-in-analytics-for-2019","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/gartner-names-4-cool-vendors-in-analytics-for-2019\/","title":{"rendered":"Gartner Names 4 Cool Vendors in Analytics for 2019"},"content":{"rendered":"

\"Gartner<\/p>\n

Analyst house Gartner, Inc. has released its newest research<\/a> highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. Cool Vendors in Analytics, 2019<\/em><\/a> features information on startups that offer some disruptive capability or opportunity not common to the marketplace. Gartner analysts James Richardson, Rita Sallam, Julian Sun, and Gareth Herschel compiled the materials for this report.<\/p>\n

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Solutions Review’s editors have read the complete report, which is available here<\/a>, and want to take the opportunity to provide a brief, independent introduction to each of the cool vendors listed. Though Gartner’s process for selecting Cool Vendors is somewhat mysterious<\/a>, we believe our unique view of the space can help you to better understand how these analytics solutions will fit into the marketplace as time goes on.<\/p>\n

Aible<\/a><\/strong><\/p>\n

Aible is an intuitive AutoML tool that enables users to create high-quality custom AI models focused on maximizing business impact. The solution requires no training or consulting, and optimizes for the net business impact of the AI. Aible conforms to regulated industries that require auditable AI, and recommends and enforces your AI training budget. Automated capabilities include data cleansing, feature creation, model training, data storing, model deployment, and quantifying impact.<\/p>\n

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DataStories<\/a><\/strong><\/p>\n

DataStories offers an augmented analytics platform for business experts, scientists and engineers. The solution enables users to turn data into interactive data stories, and does not require having prior background in data science. DataStories features a powerful computational engine and a workflow which automatically applies self-adjusting machine learning algorithms without user intervention. The platform also touts predictive modeling capabilities that tackle regression and classification issues.<\/p>\n

<\/div>\n

Tellius<\/a><\/strong><\/p>\n

Tellius is a search and AI-powered business analytics platform that enables users to ask questions and receive answers in natural language and automatically discover insights across multiple data sources. The platform features search and voice-driven conversational analytics, automated discovery, customizable ML modeling, and instant response from billions of records. The Tellius Genius Insights Engine also helps users to understand why something has changed, as well as get answers to questions you didn’t ask by analyzing a combination of data points.<\/p>\n

<\/div>\n

ZENOPTICS<\/a><\/strong><\/p>\n

ZENOPTICS offers a solution for self-service BI governance that utilizes existing investments in BI and data analytics. The tool enables secure, end-user access in a portal-like environment that facilitates access to reports and dashboards that have been built with different tools. ZENOPTICS requires no special training and surfaces reports and dashboards in their native user experience. Onboarding of content is a simple process as well. Users can also take advantage of proprietary machine learning to recommend or suggest reports based on consumption patterns of other users.<\/p>\n

Read Gartner’s Cool Vendors in Analytics for 2019.<\/a><\/span><\/strong><\/p>\n

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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Analyst house Gartner, Inc. has released its newest research highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. Cool Vendors in Analytics, 2019 features information on startups that offer some disruptive capability or opportunity not common to the marketplace. Gartner analysts James Richardson, Rita Sallam, Julian […]<\/p>\n","protected":false},"author":23,"featured_media":4607,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[904,116,905,39,906,907],"acf":[],"yoast_head":"\nGartner Names 4 Cool Vendors in Analytics for 2019<\/title>\n<meta name=\"description\" content=\"Gartner's newest vendor report highlights four emerging Cool Vendors in Analytics that offer innovative alternatives relative to the competition.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/gartner-names-4-cool-vendors-in-analytics-for-2019\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta 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