{"id":7173,"date":"2021-12-20T14:12:44","date_gmt":"2021-12-20T19:12:44","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=7173"},"modified":"2021-12-20T14:18:27","modified_gmt":"2021-12-20T19:18:27","slug":"new-sisense-notebooks-enable-advanced-analysis-for-sql-and-python","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/new-sisense-notebooks-enable-advanced-analysis-for-sql-and-python\/","title":{"rendered":"New Sisense Notebooks Enable Advanced Analysis for SQL and Python"},"content":{"rendered":"
\"New

Source: Sisense<\/p><\/div>\n

Sisense recently announced the release<\/a> of Sisense Notebooks, a new code-first functionality within the Sisense Fusion platform. As part of the Fusion Platform 2012.12 release, Sisense Notebooks will enable data analysts to query data from any data source, visualize results in custom charts, and take their analytics efforts further using procedural code before visualization. The capability also lets users to conduct ad hoc analysis on disparate datasets in SQL or Python.<\/p>\n

Our Buyer’s Guide for Analytics and Business Intelligence Platforms<\/em><\/a><\/strong><\/span> helps you evaluate the best solution for your use case and features profiles of the leading providers, as well as a category overview of the marketplace.<\/div>\n

Sisense makes it easy for organizations to reveal business insight from complex data in any size, and from any source. Sisense allows users to combine data and uncover insights in a single interface without scripting, coding or assistance from IT. Its BI and analytics platform is sold as a single-stack solution with a back end for preparing and modeling data. It also features expansive analytical capabilities and a front-end for dashboarding and visualization.<\/p>\n

Sisense Notebooks lets you go from model design to advanced analysis to visualization to source control, all in one location. Capabilities include SQL to charts, SQL to Python to charts, and SQL to R to charts in the near future. Users can also orchestrate information with custom queries.<\/p>\n

In a media statement on the news, Sisense Chief Product Officer Ashley Kramer said: “The market is full of tools that offer fragmented workflows and manual procedures, which compromise productivity, accuracy, and security and slow down the time-to-insight for anyone looking to make a data-driven decision at the organization. With Notebooks, we\u2019re taking a code-first approach to help infuse insights and scale the decision making across the enterprise, creating a powerful partnership between business users and analysts.”<\/p>\n

Read Spotlight on Sisense Notebooks: A New Code-First Approach to Analytics<\/a><\/em> in the company’s blog to learn more.<\/p>\n

<\/div><\/p>\n

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

Sisense recently announced the release of Sisense Notebooks, a new code-first functionality within the Sisense Fusion platform. As part of the Fusion Platform 2012.12 release, Sisense Notebooks will enable data analysts to query data from any data source, visualize results in custom charts, and take their analytics efforts further using procedural code before visualization. The […]<\/p>\n","protected":false},"author":23,"featured_media":7186,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[1470,59,1749],"acf":[],"yoast_head":"\nNew Sisense Notebooks Enable Advanced Analysis for SQL and Python<\/title>\n<meta name=\"description\" content=\"Sisense recently announced the release of Sisense Notebooks, a new code-first functionality within the Sisense Fusion platform.\" \/>\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\/new-sisense-notebooks-enable-advanced-analysis-for-sql-and-python\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta 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