The success of a business depends on how well business executives and managers have understood the crux of the business. It can be well argued that Business Intelligence (BI) and analysis should not be kept confined to the analytical abilities of the Business Analysts alone. Rather, these should be known to corporate executives and managers as well, who actually run the business.
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Introduction to SAS Visual Analytics
SAS (Statistical Analysis System) introduced the SAS Business Intelligence and Analytics Solution for helping large enterprises explore their large datasets in a visually appealing format. SAS analytics is a data analytics tools that is used increasingly in Data Science, Machine Learning, and Business Intelligence applications. Not only it equips organizations with all necessary tools to monitor the key BI metrics but also produces powerful analytics and comprehensive reports for their decision makers to take well-informed decisions.
|Integrates data from diverse sources
|Analyzing on ad-hoc basis
|Seamlessly combines BI and Analytics
Main Features of SAS BI and Analytics
- Visual data exploration
It creates compelling reports, charts, and visuals from the analyzed data for:
- Easy understanding of complex data
- Spotting unprecedented patterns
- Trend analysis
- Exploring new opportunities
2. Creating insightful and easy analytics
- Identify correlations
- Spot outliers
- Visualize trends
- Predict future outcomes and trends
3. Interactive dashboards and self-service ad-hoc reporting
- Helps create ad-hoc, distribution-quality reports all by oneself
- Reports are simple and can be created by management executives themselves
- Built-in data access, mash-up, filtering and data transformation
4. Mobile BI companion app: BI on the go
- iOS and Android friendly Mobile BI App
- Easy monitoring of business anywhere, anytime, 24/7
- Easy gestures and controls
- Easy access and interaction with dashboards, charts, and reports
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5. Easy integration with MS Office tools like Excel and Outlook
- Accessing SAS BI and Analytics through Microsoft Office
- Creating reports using Microsoft Office
- Distribution of reports through MS Office
- Storyboards or narratives creation
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Benefits of SAS BI and Analytics
- SAS Visual Analytics helps in analyzing big data of an enterprise and in generating powerful insights from it in such an easy way that the business users themselves can draw inference from this whole process, thus, off-loading the IT team of this burden. This tool enables businesses to identify trends, spot correlation among data, isolate the outliers, realize the exceptions, unearth the root cause of such variations, and come up with some new ideas and insights which they were not aware of.
- SAS Visual Data Exploration helps in creating visuals that are appealing and grabs the interest of business users who might not have found such data interesting, otherwise. This tool analyzes big data and represents them in the form of graphs, charts, and other compelling visuals, thereby making it easy for business users to draw information and inferences from it. This in turn helps them understand their business thoroughly and take informed decisions.
- Consistency in data is maintained through centrally managed data, security, and shared metadata. The reliability of the outputs is ensured, and the results can be traced back to the data sources.
- It utilizes in-memory and distributed processing, thereby making the analysis of huge databases prompt. This tool also helps in predictive data modeling.
- It provides a collaborative environment. Business executives like using Microsoft Excel and other Office tools. This feature enables business users to access SAS BI and Analytics and create reports using Microsoft Office tools. They can also distribute such reports through Office. Through the creation of storyboards and narratives, decision-makers can exchange crucial information and ideas.
SAS Mobile BI helps business managers and executives access dashboards and reports from remote locations, even while traveling. Thus, it is always possible to be in touch with important business insights.
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Who Should Learn This Technology?
This course can be taken up by Software Developers and BI and Analytics, ETL, SQL, Data Warehouse, Mainframe, and Testing Professionals.
How Does This Technology Help You in Your Career Growth?
Business Intelligence and Analytics has become a necessity for all medium- and large-scale companies worldwide. SAS is a leader in this domain holding a maximum market share of advanced analytics. The demand for SAS BI and Analytics professionals are on a steep rise as more and more companies are adopting SAS BI and Analytics software all across the globe. SAS BI and Analytics jobs are flooding in the global market with great packages offered by most of them. According to a research conducted by Indeed job portal, the average annual salary of a principal SAS professional in the US is $120,000.
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Thus, it can be concluded that going for the SAS BI and Analytics course will not only add a feather to your knowledge cap but also increase your demand as a professional in this tough market. Business Intelligence and Analytics is such a domain where the growth will never cease to increase. Thus, being equipped with the cutting-edge knowledge, SAS, will ensure a stable future for its professionals.
Frequently Asked Questions (FAQs)
What is SAS used for in data science?
SAS is used for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics in data science.
Is SAS better than Python?
It depends on the use case. SAS is powerful for statistical analysis but Python is more versatile and has a broader range of libraries.
What is SAS software used for?
SAS software is used for statistical analysis, data management, and predictive analytics, aiding in decision-making and strategy development.
What is SAS for beginners?
For beginners, SAS provides a user-friendly interface for statistical analysis and data visualization, although it requires a license.
What coding language is SAS?
SAS has its own programming language designed for statistical analysis and data manipulation, known as SAS language.
What are the two types of data in SAS?
In SAS, data is categorized as either numeric or character.
Does SAS need coding?
Yes, SAS requires coding in its proprietary language for data manipulation, analysis, and reporting.
Is SAS coding hard?
SAS coding can be challenging for beginners but may become intuitive with practice and training.
Is SAS good for future?
SAS remains valuable in certain industries, but open-source alternatives like Python and R are becoming more popular.
Is SAS similar to SQL?
SAS and SQL are different but SAS can execute SQL queries for data manipulation and retrieval, showcasing some level of similarity.