Improve your data analysis capacity with the Data Science Accelerator

Want to expand your data analysis capabilities?

Built on the foundation of the Data Science Starter Pack, the Data Science Accelerator provides a deeper, more powerful level of analysis than before. Use the Data Science Accelerator to analyse complex datasets to generate more sophisticated findings at a more efficient rate.

What can the Data Science Accelerator do?

The Data Science Accelerator enables you to conduct a deeper, more comprehensive analysis by combining SAS Visual Analytics and SAS Visual Statistics with SAS Visual Data Mining and Machine Learning.

SAS Visual
Analytics

SAS Visual Analytics makes data analysis more accessible to non-technical people using a variety of features, like self-service data preparation, smart visualisation and interactive dashboards.

SAS Visual
Statistics

SAS Visual Statistics simplifies the development of data creation models by using APIs, in-memory processing and the freedom to enable a variety of statistical models without extensive coding needed.

SAS Visual Data Mining and
Machine Learning

SAS Visual Data Mining and Machine Learning empower analytics teams to resolve complex problems with features like automation, accessible analytics, integrated data preparation and computer vision.

Why use the Data Science Accelerator?

The Data Science Accelerator allows you to conduct deeper, more comprehensive data analysis, so you can effortlessly glean actionable insights from complex datasets at an efficient rate.


Give your data scientists the ability to dive deep into the complexities of your data while still providing actionable results within a reasonable timeframe to keep your business analysts happy.

Key features

Conduct complex analysis with minimal delays

- Machine learning algorithms make complex data analysis more efficient


- Conduct large-scale analytical operations with minimal latency

Make data analysis more efficient

- Self-defined pipelines and best practice templates to optimise analysis


- Flexible override capabilities to ease analytics operations

Make data analysis more efficient

- Self-defined pipelines and best practice templates to optimise analysis


- Flexible override capabilities to optimise analysis

Versatile, flexible analysis

- Versatile end-to-end analytics frameworks to combine multiple analysis methods


- Different algorithms to solve complex analytical problems

SAS Visual
Analytics

SAS Visual Analytics makes data analysis more accessible to non-technical people using a variety of features, like self-service data preparation, smart visualisation and interactive dashboards.

SAS Visual
Statistics

SAS Visual Statistics simplifies the development of data creation models by using APIs, in-memory processing and the freedom to enable a variety of statistical models without extensive coding needed.

SAS Visual Data Mining and Machine Learning

SAS Visual Data Mining and Machine Learning empower analytics teams to resolve complex problems with features like automation, accessible analytics, integrated data preparation and computer vision.

Why work with Selerity?

If you are looking to improve on the findings of the Data Science Accelerator Pack, then our experts are perfectly poised to assist you. We understand your systems infrastructure and can help you seamlessly incorporate the complex data analytics platform into your systems in a way that optimises system performance and maximise ROI in your analytics system.

We are certified resellers

As certified resellers and SAS Gold regional partners, we can help you maximise ROI.

Leverage a team of experienced SAS consultants

Our team of SAS consultants can help you install and deploy the SAS Data Science Package.

Michael Dixon

Michael Dixon

Managing
Director

Kaylene_0147

Kaylene Dixon

Financial

Controller

Cameron Lawson

Cameron Lawson

Services

Manager

Melissa Jones

Support Services Manager

The Data Science Accelerator pricing 

Fill out the form below to discuss custom pricing packages to suit your needs

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