Paper Example on SAS Intelligence Platform

Introduction

SAS intelligence platform is system software designed and developed for professional & predictive analytics, business intelligence, multivariate analysis, and data management. The software's primary function is to manage, mine, retrieve and alter data. The software provides a graphical aim and clicks user interface for non-technical, and through the language, the SAS offers advanced options (Bhanot et al., 2015). The programs have inbuilt Data steps with the ability to manipulate and retrieve data and Proc steps that analyse the information. The paper defines the SAS intelligence platform and provides an overview of the software as well as the strategic benefits the software offers to businesses.

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Components of the SAS Intelligence Platform

Elements within the program are categorized into:

Data integration

The Component of data integration enables analysts to manage and consolidate company information from a variety of system sources, technologies and applications. The components would allow users to migrate, cleanse, promote and replicate data. Metadata for all the resources are then managed and controlled centrally through a simple interface.

Business intelligence

Components of business intelligence give users the ability to create and produce their analyses and reports depending on their various needs and skill levels. Through the provided interfaces that are easy to handle and use, all users can obtain their answers to business related queries (Bhanot et al., 2015). The role of the IT staff is to retain control over the consistency and quality of the data.

Analytics

The software provides the most comprehensive and richest portfolio within the industry of analytic products. The collection is made up of products of statistical data analysis, forecasting, econometrics, data & text mining, operations research and quality improvement (Bhanot et al., 2015). The tools can be used in combination with the SAS intelligence platform to increase the precision and insights of analyses and reports being created.

Intelligence storage

The options of intelligence storage are optimized for the processing of analyses enabling users to report and retrieve vast volumes of data. The possibilities are, a multidimensional database that is threaded, simple relational databases and relational storage for intensive use by large applications.

Benefits of the SAS Business Intelligence Platform

The platform provides businesses with many strategic benefits:

Integration of multiple capabilities into a single platform

The software combines high-speed data processing, SAS analytics, easy to use tools for queries and to report to ensure that results are accurate, fast and reliable for decision making (Chen et al., 2015). Some of the primary functions of the program include building information warehouses, mining data, enabling easy access to its processes and the ability to produce reports from any web browser.

The consistency of business and data rules

The platform utilizes the company's data to enable users to integrate information from multiple databases to ensure the flexibility, reliability and data standardization (Chen et al., 2015). It also gives users options to choose tools which they can use to produce reports and present queries. Thus enabling users to integrate data through multiple databases.Fast and easy analysis and reporting

The platform allows all users within the organization to query data and access it from any data source (Chen et al., 2015). All users can create data without the need to learn new skills or support from IT professionals. The feature allows users to spend less time searching for answers and more time formulating strategic decisions.

Conclusion

The SAS intelligence platform allows the company to make full use of the analytics available throughout the enterprise. The incorporation of all available capabilities into analyses and self-service reports enables users throughout the enterprise to benefit tremendously from the precision and accuracy of high-end analytics.

References

Bhanot, A., Kolhatkar, J. S., Palaima, M. P., Raghavendra, V., & Yao, Y. (2015). U.S. Patent No. 9,159,024. Washington, DC: U.S. Patent and Trademark Office.

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: from big data to the significant impact. MIS Quarterly, 1165-1188.