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Prompt Data Analysis: SAS analytics utilizes distributed and in-memory processing for data access, making its reporting extremely fast and prompt, even while working on Big Data sets. Thus output reliability and traceability of data source is also enabled. Data consistency: Data maintained is consistent overall users of SAS analytics since the data is managed using centrally-managed secure data storage while being shared as metadata. An on-the-go mobile app: SAS analytics provides business users with a simple app, customized dashboards and other tools to permit the drawing of BI trends, isolate outliers, spot data correlations, realize exceptions, get to the root cause of variations, and use the insights and data effectively for furthering the business. Besides, the IT team or a SAS analyst is not required to integrate with this tool. Its format is visually-appealing and provides interaction with charts, dashboards etc. The SAS visual analytics tool is able to provide powerful business insights, which the business users themselves can do.
Big Data Analysis: Visual Analytics in SAS works on Big Data sets to analyze large enterprises’ business intelligence needs.Here are the main benefits of SAS Analytics and BI tools. It is thus easy to stay in the know of business data, its insights and analytics on-the-go. It can also interact with charts, reports, dashboards etc.Īs seen above, the SAS analytical tool Mobile BI helps executives and business managers access reports, dashboards etc., while travelling and from remote locations using the mobile app.
BI on-the-go mobile companion app: Its SAS analytics format is executable using the Mobile BI App, Android and iOS friendly and provides 24/7 BI monitoring using control panels and gesture-controls. When integrated into the MS Office suites, it provides MS Office reports, report distribution features, narratives, storyboards etc. MS Office tools Integration: Its SAS platform is easily integrated with the tools as Outlook and Excel found in the MS Office suite, making it possible to access the SAS analytics and BI tools easily. Besides, it has features like mash-up, access to data, data transformation and data filtering. It enables SAS data analytics, creation of distribution-quality ad-hoc reports on a self-service basis meaning the managers or executives can create their own dashboards and generate reports quickly and easily. Ad-hoc self-service reporting and interactive dashboards: These are great features in SAS. It helps explore new opportunities, spot patterns that are unprecedented and is a valuable tool in trend analysis. Visual data exploration: SAS analytics provides visuals, charts, reports and more besides understanding complex data forms quite easily. Creating easy and insightful analytics: The SAS tool is extremely useful in making accurate trend and future outcome predictions, spotting the outliers, identifying correlations, providing trends in a visual format etc. Main Features of SAS Analytics and BIĭiscussed below are the 5 critical areas of the SAS analytics tool used for BI and analytics. The mobile deployment facility is excellent, and it seamlessly integrates BI and analytics. It provides comprehensive reports, key metrics and powerful analytics using various data analytics tools that can be aggregated from various sources to make informed decisions. It has a large visual output format for Big Data sets, helping analyze business solutions for large enterprises. Statistical Analysis Systems or SAS full form was released as a large enterprise business solution by SAS Business Analytics and Intelligence. The SAS analytics tool is popularly used in Machine Learning, Business Intelligence and Data Science applications. Most often, BI is restricted to use by the data analysts or Business Analysts alone when, in reality, it should be used by all those involved in the business-running like the managers and executives as well. Business success depends on its people and Business Intelligence.