SAS Business Intelligence is a suite of applications that enables organizations to gather, manage, analyze, and visualize data for informed decision-making. It provides tools for reporting, analytics, data mining, and predictive modeling to help businesses gain insights and improve performance.
About Sas Business Intelligence
SAS Business Intelligence originated from SAS Institute, which developed its first software in 1976 to analyze agricultural data. Over time, the company expanded its offerings to include a comprehensive suite of BI tools aimed at helping organizations manage and analyze their data for better decision-making. The evolution of SAS BI reflected the growing need for advanced analytics and reporting capabilities in various industries.
Strengths of SAS Business Intelligence include robust analytics capabilities, comprehensive data management tools, and strong customer support. Weaknesses involve high costs and a steep learning curve for new users. Competitors include Microsoft Power BI, Tableau, and QlikView.
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How to hire a Sas Business Intelligence expert
A SAS Business Intelligence expert must have strong skills in SAS programming, data management, and statistical analysis. Proficiency in using SAS BI tools such as SAS Enterprise Guide, SAS Visual Analytics, and SAS Data Integration Studio is essential. Knowledge of SQL for database querying and experience with data visualization techniques are also crucial.

Jonathan S.
Skills
A dedicated professional specializing in Data Analysis, with a diverse background spanning sectors such as healthcare and services. Currently serving as a Supply Analyst and Key User of SAP MM, responsible for managing the integration and application of the Materials Management module with hospital management systems, effectively optimizing processes and enhancing operational efficiency. Beginning a career in inventory management at ArcelorMittal, this individual developed strong material management and inventory control skills. Further experience at SEBRAE involved implementing performance indicators for training programs, while tenure at Chevrolet honed sales techniques and client relationship skills. At Kora Saúde, transitioned from Administrative Assistant to Supply Analyst, leveraging Business Intelligence (BI) tools to automate tasks and establish interactive dashboards for monitoring resource consumption across hospital networks. The implementation of a data warehouse and ETL processes transformed decision-making, enabling real-time insights that significantly improved processes. Committed to continuous skill enhancement, the focus remains on driving efficiency and innovation in supply management and data analysis.

Marlom L.
Skills
With a decade of experience dedicated to the mapping of areas and processes, this professional has demonstrated a strong commitment to driving improvements and efficiencies within organizations. Focused on achieving significant cost reductions through waste minimization, operational optimization, and the implementation of necessary cultural changes, the candidate employs insightful analysis and meticulous mapping techniques to identify improvement opportunities. Currently serving as a Data Analyst at a virtual assistant firm, expertise includes the construction and maintenance of customized dashboards, KPI development, and leadership in Business Intelligence, all aimed at enhancing decision-making processes. Educational qualifications include a postgraduate degree in Big Data Management and Business Analytics, complementing a foundation in Systems Analysis and Development.

Mateus T.
Skills
This candidate is a seasoned professional specializing in cloud computing, microservices, and serverless architectures, with a strong proficiency in AWS technologies such as Lambdas, API Gateway, and AppSync. Demonstrated expertise includes leading the development of sophisticated systems like Evocities, an intelligent city management platform, and Evoview, a machine learning-based video analysis tool. Equipped with advanced knowledge in machine learning, this individual excels at integrating artificial intelligence into diverse projects, enhancing functionality and performance.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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