{"id":3921,"date":"2018-07-10T15:03:31","date_gmt":"2018-07-10T19:03:31","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=3921"},"modified":"2018-07-11T09:43:52","modified_gmt":"2018-07-11T13:43:52","slug":"the-5-best-predictive-analytics-software-tools-to-consider","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/the-5-best-predictive-analytics-software-tools-to-consider\/","title":{"rendered":"The 5 Best Predictive Analytics Software Tools to Consider"},"content":{"rendered":"

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Part of selecting the best predictive analytics software solution for your organization is making sure it aligns to business objectives. There a wide variety of great analytics tools out there that focus on a specific use case or niche in the market. However, just because a specific set of capabilities works for one organization does not necessarily mean it will make do for another. The first step in the vendor selection process is to identify those providers whom offer products for your environment specifically. This ensures the best-fit and an excellent launch point for future deployments.<\/p>\n

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One place to begin your search for the best predictive analytics software is G2 Crowd<\/a>, a technology research site in the mold of Gartner, Inc. that is backed by more than 400,000 user reviews. G2 provides a handy Crowd Grid<\/a> for predictive analytics that is broken down by deployment size and includes small business<\/a>, mid-market<\/a> and the enterprise<\/a>. This is an excellent starting point to purchasing the right solution and one we definitely recommend<\/a>. The standings rotate on a rolling basis so check back often if you are in-market. These are the five predictive analytics software tools included in G2’s Crowd Grid that we think you should consider first for any enterprise deployment.<\/p>\n

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

SAS<\/a> offers advanced and predictive analytic technologies, which include forecasting, text analytics, and decision trees. Data scientists can extend these capabilities using the integrated Visual Statistics tool. SAS caters to a wide range of verticals, and users particularly enjoy ease of use in accessing Hadoop and NoSQL data. However, the platform\u2019s UI is lacking, and interoperability between separate SAS products could be better. The hope is that its expanded Viya rollout will help to quell some of these issues.<\/p>\n

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

RapidMiner<\/a> offers a unified platform for data science teams that includes data preparation, machine learning and predictive model deployment. The product touts a community of more than a quarter-million data science experts, as well as a marketplace that keeps pace with evolving trends. RapidMiner\u2019s 60+ connectors provide access to any type of data, and users can run workflows in-memory or in-Hadoop. The company has raised $36 million in venture capital since its founding in 2007.<\/p>\n

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

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IBM<\/a> offers an expansive range of BI and analytic capabilities under two distinct product lines. The Cognos Analytics platform is an integrated self-service solution that allows users to access data to create dashboards and reports. IBM Watson Analytics offers a machine learning-enabled user experience that includes automated pattern detection, support for natural language query and generation, and embedded advanced analytics capabilities. Cognos is IBM\u2019s \u2018flagship\u2019 BI and analytics tool, where Watson is the vendor\u2019s entry into the emerging AI-powered tools arena.<\/p>\n

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Information Builders<\/a><\/strong><\/p>\n

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Information Builders<\/a> is a New York-based solution provider that offers a wide range of BI and data management software tools. The company\u2019s WebFOCUS platform features self-service analytics and data discovery, a visual discovery insight mode, predictive capabilities, and more. WebFOCUS can deploy secure applications to millions of users, and governance functionality enables metadata-driven delivery across an organization. The platform also extends beyond dashboards for executives and analysts by operationalizing data and analytics for line-of- business users.<\/p>\n

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TIBCO Software<\/a><\/strong><\/p>\n

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TIBCO Software<\/a>\u2019s product capabilities are expansive, and range from data integration and API management to visual analytics, reporting, and data science. The company\u2019s BI and analytics portfolio comes in two main iterations: TIBCO Spotfire and TIBCO Jaspersoft. TIBCO Spotfire is the company\u2019s more modern platform. It features interactive visualization, data preparation, enterprise-class governance, and advanced analytic capabilities. TIBCO Jaspersoft supports traditional reporting and embedded BI functionality. TIBCO is publicly traded and based in Palo Alto, California.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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

Part of selecting the best predictive analytics software solution for your organization is making sure it aligns to business objectives. There a wide variety of great analytics tools out there that focus on a specific use case or niche in the market. However, just because a specific set of capabilities works for one organization does […]<\/p>\n","protected":false},"author":23,"featured_media":3922,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[354,81],"acf":[],"yoast_head":"\nThe 5 Best Predictive Analytics Software Tools to Consider<\/title>\n<meta name=\"description\" content=\"These are the five best predictive analytics software tools from the G2 Crowd Grid we think you should consider for enterprise deployment.\" \/>\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\/the-5-best-predictive-analytics-software-tools-to-consider\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" 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