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SAS Analytics Pro

Logo for SAS Analytics Pro

SAS Analytics Pro Coupons, Reviews, Comparisons and Alternatives

About SAS Analytics Pro

SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.

Get advanced statistical analysis, reporting and high-impact visuals – all from one vendor, all in one package. This comprehensive offering includes three of their most popular products: Base SAS, SAS/STAT and SAS/GRAPH.

SAS software integrates into virtually any computing environment, so you can unify your computing efforts and get a single view of your data. Analysts are freed to focus on analysis rather than data issues. Then, produce repeatable code that's easily documented and verified for compliance. Why piece together niche software packages from different vendors? A consolidated vendor portfolio reduces the costs of licensing, maintenance, training and support, and ensures that consistent information is available across the enterprise.

  • 66


    8 Critic Reviews

  • Provided by
  • Platforms
    Web based
    Mac OSX
  • Mobile
  • API
  • Pricing
    View details
    Free Trial
    Subscription Plans
    Free Plan

Features & Specifications


Supported languages
Serviceable Area
Supported Platforms
  • Web Based
  • Mobile Web

Ratings Summary

Metric Score Rank
cloudswave Score
Domain Authority 84
Alexa Rank 7012

SAS Analytics Pro Demo Video

SAS Analytics Pro Screenshots

Plans & Pricing

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Critic Reviews

  • 66

    Cloudswave Score for SAS Analytics Pro

    Rating based on 8 Critic Reviews

    4 Favorable reviews
    80 %
    1 Mixed reviews
    20 %
    0 unfavorable reviews
    0 %
  • SAS Analytics Use Cases and Deployment ScopeMy organization uses SAS Analytics for advanced analytics. It is used in various departments, including human capital and information management. It is used for predictive modeling, data manipulation, clustering and optimization.

    Pros : SAS Analytics is excellent for modeling. You can use a variety of modeling techniques and SAS Analytics produces robust reports on the model you are creating.SAS Analytics is excellent for data exploration. It has good etl capabilities, and once you have the data loaded you can preform a lot of statistics and other explorative measures.

    Cons : SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.

  • The SAS Visual Analytics is an in-memory data visualization tool that works well with both big and small data, providing robust query and reporting features, alerts, and predictive analytics.

  • One manager (who asked to remain anonymous) said his team was now fielding more requests to get data into SAS Visual Analytics than running down the questions. The tool makes it so easy to interact with the data and the managers are really exploring the data and asking for more. The organization is moving down the BI Maturity path.

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User Reviews

  • 1 In total

  • User review from

    Tapan Jain

    SAS (Statistical Analysis System) is one of the leaders in the statistical software industry. It offers various statistical functions and an amazing support but also charges a price for its features and service. It can be seamlessly integrated with other technologies like SQL and R by writing user defined functions called macros. This means one can easily transfer data to and fro from SAS to R or SQL. This is a great feature as it lets the organization to have the best of multiple technologies. For example, SQL is way better than SAS in extracting and manipulating large data while SAS is better in applying statistical functions. So, with the ability to connect with SQL, one can use SQL to fetch and maneuver the data and various statistical functions can be applied to the data by importing the data in SAS environment.

    Pros :

    SAS is easy to learn for people who have a programming background in any language. It provides a SQL procedure PROC SQL which is very useful for people who know SQL and have to work in SAS environment for certain reasons. A lot of documentation, tutorials and support are available over the web to learn about SAS. It also has cloud offerings which make it easy for employees to access SAS over the web from any device without the tedious process of connecting through a VPN. The ability to have user defined functions called macros which can be reused is a great asset to SAS. SAS itself provides a large number of functions but at times, due to certain business requirements, one need to write their own functions which can be compiled and later used as an inbuilt SAS functions.

    Cons :

    One of the major drawbacks I have faced with SAS is that various procedures cannot handle more than 20 Mn rows of data. One can argue that 20 Mn is a lot of data but for the industries like Retail and Insurance churn out that many rows are a normal phenomenon. It is very expensive as well and small organizations and startups cannot afford it.

    • September 19, 2015
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