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SAS/ETS

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Company health

Employee growth
7% increase in the last year
Web traffic
10% decrease in the last quarter
Financing
July 2022 - $1M

Ratings

G2
4.8/5
(10)

SAS/ETS description

SAS/ETS is a statistical software package designed for analyzing and forecasting time-based data. It allows you to uncover trends, model scenarios, and make better business decisions. It offers a range of sophisticated tools for econometrics, time series analysis, and forecasting, helping you understand past performance and predict future outcomes. SAS/ETS is known for its powerful capabilities and is often used in industries like finance and economics.


Who is SAS/ETS best for

SAS/ETS is a statistical software package for analyzing and forecasting time-series data. It offers sophisticated tools for econometrics and forecasting, enabling better business decisions. G2 gives it a 4.8/5 rating. It's well-suited for data scientists and analysts working with time-series data, especially in finance.

  • Best fit for small to medium-sized businesses.

  • Ideal for finance and economic forecasting.


SAS/ETS features

Supported

SAS/ETS supports data modeling, focusing on econometrics and time series analysis.

Supported

SAS/ETS supports predictive modeling, primarily focused on forecasting and econometrics.

Supported

SAS/ETS supports regression and hypothesis testing, especially for econometrics and time series.


SAS/ETS pricing

See the SAS/ETS pricing page.


SAS/ETS alternatives

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SAS/ETS FAQ

  • What is SAS/ETS and what does SAS/ETS do?

    SAS/ETS is a statistical software suite specializing in time series analysis, econometrics, and forecasting. It provides tools for analyzing historical data, modeling trends, and predicting future outcomes, making it valuable for financial modeling and economic research. It's known for its powerful capabilities but may be complex for non-technical users.

  • How does SAS/ETS integrate with other tools?

    SAS/ETS integrates with other SAS products and can connect to various data sources. It allows for data import and export, facilitating workflow integration within the SAS ecosystem. More specific integration details are limited.

  • What the main competitors of SAS/ETS?

    Top alternatives to SAS/ETS include EViews, MATLAB, and Azure Analysis Services. These competitors offer similar statistical analysis, forecasting, and data modeling capabilities, catering to various industries and business sizes. Sprinkle Analytics and PushMetrics are also options, though more focused on data visualization and reporting.

  • Is SAS/ETS legit?

    Yes, SAS/ETS is a legitimate statistical software package. It is known for its powerful capabilities in econometrics, time series analysis, and forecasting, and is often used in the finance industry. SAS/ETS is safe and reliable for data analysis.

  • How much does SAS/ETS cost?

    I couldn't find pricing details for SAS/ETS. Contact SAS directly for a personalized quote based on your specific needs and the size of your organization. Consider exploring whether SAS/ETS is worth the investment by researching its features and comparing it to alternatives.

  • Is SAS/ETS customer service good?

    SAS/ETS customer service appears to have some room for improvement. While the software is praised for its data analysis capabilities, users have pointed out that the community support section needs more attention to better assist its user base.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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