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Ratings and Reviews 0 Ratings
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What is SAS Event Stream Processing?
Understanding the importance of streaming data generated from various operations, transactions, sensors, and IoT devices is crucial for maximizing its potential. SAS's event stream processing provides a robust solution that integrates streaming data quality, advanced analytics, and a wide array of both SAS and open source machine learning methods, all complemented by high-frequency analytics capabilities. This cohesive approach allows for the effective connection, interpretation, cleansing, and analysis of streaming data without disruption. No matter the speed at which your data is produced, the sheer amount of data you handle, or the variety of sources you draw from, you can manage everything with ease through an intuitive interface. In addition, by establishing patterns and preparing for diverse scenarios across your organization, you can maintain flexibility and address challenges proactively as they arise, ultimately boosting your overall operational efficiency while fostering a culture of continuous improvement. This adaptability is essential in today's fast-paced data-driven environment.
What is Agillence ALLO?
ALLO stands out as an effective tool for designing logistics networks that feature cross docks and milk runs, catering to both strategic and tactical needs. This innovative solution supports the establishment of a high-frequency lean logistics framework while ensuring that expenses remain low. Lean Logistics emphasizes the importance of regular replenishment and the consolidation of freight through cross docks and milk runs, which promotes a consistent flow of products from their origin to their ultimate destination, driven by actual consumption patterns, which in turn minimizes waste. By implementing this methodology, organizations can achieve lower inventory levels, improved product availability, optimized resource distribution, and enhanced asset utilization, all while incurring reduced costs. However, the creation of a lean logistics network is often fraught with challenges stemming from complex constraints and numerous potential configurations. Despite these difficulties, ALLO streamlines the development of such networks, offering the promise of a significant transformation in logistics operations. A prime example of these lean logistics principles can be seen in the automotive industry, which utilizes them to uphold Just-In-Time (JIT) production efficiency. In addition, ALLO empowers businesses to navigate and succeed in an increasingly dynamic supply chain environment, ensuring they remain competitive and responsive to market changes. Ultimately, the integration of ALLO into logistics operations provides a robust foundation for continuous improvement and growth.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS Institute
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/event-stream-processing.html
Company Facts
Organization Name
Agillence
Date Founded
2003
Company Location
United States
Company Website
agillence.com/our-solutions/allo/
Categories and Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Categories and Features
Logistics
3PL
Barcoding / RFID
CRM
Container Tracking
Cross Docking
Fleet Management
Inventory Management
Order Management
Purchasing
Scheduling
Shipping Management
Transportation Management
