Smart Analytics

Website

tableau.com

Categories

#Business & Commerce #Technical Computing #Data Dashboard #Statistics

SAS/STAT

Website

sas.com

Categories

#Statistics #Technical Computing #Business & Commerce #Data Analysis

Smart Analytics features and specs

• Enhanced Decision-Making
  Leverages AI to provide deeper insights that help in making informed business decisions rapidly.
• Automated Insights
  Automatically surfaces relevant patterns, trends, and predictive insights without extensive manual data exploration.
• User-Friendly Interface
  Offers a straightforward and intuitive interface that enables users to interact with data effortlessly.
• Time Savings
  Reduces the time spent on data preparation and analysis by automating repetitive tasks.
• Scalability
  Capable of handling large datasets and scalable according to business needs, making it suitable for growing organizations.

Possible disadvantages of Smart Analytics

• Complexity for Beginners
  May have a steep learning curve for users who are not familiar with AI or analytics tools.
• Resource Intensive
  Often requires significant computing power and resources, which might be a barrier for smaller organizations.
• Cost
  Can be expensive, especially for small businesses, as it involves software licensing and potential infrastructure upgrades.
• Data Privacy Concerns
  Handling sensitive data could pose privacy issues, necessitating robust data governance policies.
• Dependence on Data Quality
  The accuracy and usefulness of the analytics heavily depend on the quality of the underlying data.

SAS/STAT features and specs

• Comprehensive Statistical Analysis
  SAS/STAT offers a wide range of statistical procedures covering various methodologies, including regression, ANOVA, survival analysis, and more, making it suitable for complex data analysis.
• Industry Standard
  Widely used across numerous industries such as healthcare, finance, and academia, SAS/STAT is trusted for its robust and reliable statistical capabilities.
• Strong Data Management
  SAS/STAT provides excellent data handling and manipulation capabilities, allowing users to manage large datasets efficiently and perform detailed data processing tasks.
• Excellent Support and Documentation
  SAS offers extensive documentation, online resources, and customer support, making it easier for users to learn and resolve issues they might encounter.
• Scalable and Integrative
  The software is highly scalable and integrates well with other SAS tools and external databases, allowing for seamless workflow and data analysis processes.

Possible disadvantages of SAS/STAT

• High Cost
  SAS/STAT is relatively expensive compared to other statistical software, which may be a barrier for small businesses and individual users.
• Steep Learning Curve
  New users might encounter a steep learning curve due to the complexity and depth of the software's features and functionality.
• Proprietary Software
  As a proprietary solution, users are dependent on SAS for updates and feature requests, which can limit flexibility compared to open-source alternatives.
• Limited Flexibility in Customization
  Due to its proprietary nature, SAS/STAT may offer less flexibility for customization compared to open-source alternatives, which might affect users requiring extensive custom solutions.
• Resource-Intensive
  Running SAS/STAT can be resource-intensive, requiring significant computing power, which might not be optimal for all user environments.

Smart analytics: Deep dive on roadmap

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Tools for Assessing a Propensity Score Model in SAS/STAT

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