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What is Shapelets?

Unlock the potential of cutting-edge computing technology right at your fingertips. Thanks to advanced parallel processing and innovative algorithms, there's no reason to delay any further. Designed with data scientists in mind, particularly within the business sector, this comprehensive time-series platform offers unparalleled computing speed. Shapelets provides a robust array of analytical features, such as causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. Users can also execute, enhance, and integrate their own algorithms within the Shapelets platform, fully harnessing the power of Big Data analytics. It seamlessly connects with various data collection and storage systems, ensuring compatibility with MS Office and other visualization applications, which simplifies the sharing of insights without requiring deep technical expertise. The user-friendly interface works in tandem with the server to deliver interactive visualizations, enabling you to effectively utilize your metadata and exhibit it through diverse modern graphical formats. Moreover, Shapelets empowers professionals in the oil, gas, and energy industries to perform real-time analyses of their operational data, thus improving decision-making processes and operational effectiveness. By leveraging Shapelets, you can turn intricate data into strategic insights that drive success and innovation in your field. This platform not only streamlines data analysis but also fosters a collaborative environment for teams to thrive.

What is SAS Data Science Programming?

Develop and oversee large-scale decision-making processes driven by data, whether in real-time or batch formats. The SAS Data Science Programming approach is tailored for data scientists who prefer a comprehensive programmatic style, enabling them to engage with SAS's analytical tools throughout the full analytics life cycle, which includes stages like data preparation, exploration, and deployment. Identify and illustrate crucial patterns in datasets, which facilitates the generation and sharing of interactive reports and dashboards. Furthermore, utilize self-service analytics to quickly assess potential outcomes, empowering organizations to make well-informed, data-driven choices. Work with your data to create or adjust predictive analytical models using the SAS® Viya® platform. This collaborative framework encourages data scientists, statisticians, and analysts to unite in refining their models iteratively across different segments, ultimately bolstering decision-making grounded in dependable insights. Address complex analytical problems through an intuitive visual interface that adeptly manages all facets of the analytics life cycle, ensuring users can navigate challenges with both ease and accuracy. By adopting this methodology, organizations can significantly improve their strategic decision-making capabilities and drive better overall performance in their operations. Emphasizing collaboration and innovation within analytics will lead to more agile responses to rapidly changing market conditions.

Media

Media

Integrations Supported

Microsoft Excel
Microsoft PowerPoint
Amazon S3
Apache HBase
Apache Kafka
Azure Blob Storage
Google Cloud Storage
HPE Ezmeral Data Fabric
Microsoft Office 2021
MongoDB
Qlik Data Integration
SAS MDM
Spotfire
Strategy ONE
Tableau

Integrations Supported

Microsoft Excel
Microsoft PowerPoint
Microsoft 365
Microsoft Outlook
Microsoft Word
SAS Visual Statistics
SAS Viya

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Shapelets

Company Location

Spain

Company Website

shapelets.io

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

support.sas.com/en/software/data-science-programming.html

Categories and Features

Data Science

Not specified

Data Visualization

Not specified

Graphing

Not specified

Categories and Features

Data Science

Not specified

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