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SKU ScienceSKU Science offers a rapid and user-friendly approach to forecasting sales and monitoring performance effectively. You can establish your demand planning system in just two days! Developed by industry veterans, it caters specifically to operations managers, S&OP leaders, supply chain experts, and demand forecasting specialists. Featuring 644 statistical combinations, the platform provides highly precise and customized sales predictions at various levels. To enhance accuracy further, AI models can be tailored using your specific data. Key performance indicators are automatically calculated to emphasize the most vital elements, enabling you to concentrate on what truly impacts your supply chain and overall business success. The operational dashboards are updated with each cycle, facilitating effective activity tracking and informed decision-making. Combining sophisticated functionalities with user-friendliness, SKU Science is relied upon by clients in diverse industries such as manufacturing, food and beverage, healthcare, retail, and e-commerce, ensuring comprehensive support for their forecasting needs. The platform's intuitive design empowers users to navigate seamlessly, enhancing both productivity and strategic insight.
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What is SAS Visual Data Science Decisioning?
Integrating analytics into real-time interactions and event-driven features is essential for modern decision-making. The SAS Visual Data Science Decisioning suite boasts robust functionalities in data management, visualization, advanced analytics, and model governance. By enabling the crafting, integration, and oversight of analytically driven decision processes at scale, it significantly improves decision-making whether in real-time scenarios or through batch processing. Moreover, it supports the deployment of analytics directly within the data stream, allowing users to extract critical insights with ease. Complex analytical challenges can be addressed using an intuitive visual interface that effectively manages every phase of the analytics lifecycle. Operating on the SAS® Viya® platform, SAS Visual Data Mining and Machine Learning combines data manipulation, exploration, feature development, and state-of-the-art statistical, data mining, and machine learning techniques within a single, scalable in-memory processing environment. Users benefit from the ability to access data files, libraries, and existing scripts or to create new ones through this web-based application, which is easily reachable via any browser, thus fostering greater flexibility and collaboration among teams. With its comprehensive toolset, organizations can not only enhance their analytical capabilities but also streamline the decision-making process across various business functions.
What is IBM InfoSphere Data Architect?
An all-encompassing data design solution enables the investigation, modeling, linking, standardization, and amalgamation of diverse data resources dispersed throughout an organization. IBM InfoSphere® Data Architect functions as a cooperative platform for enterprise data modeling and design, simplifying integration efforts for business intelligence, master data management, and service-oriented architecture initiatives. This solution promotes teamwork with users at every stage of the data design process, which includes project management, application design, and data design phases. It helps align processes, services, applications, and data architectures with remarkable fluidity. With capabilities that facilitate straightforward warehouse design, dimensional modeling, and robust change management, it notably reduces development time while empowering users to design and manage warehouses grounded in an enterprise logical model. The introduction of time-stamped, column-organized tables not only clarifies data assets but also boosts operational efficiency and accelerates time to market. Consequently, this tool equips organizations to leverage their data more effectively, resulting in enhanced decision-making capabilities and fostering a culture of data-driven insights. By utilizing such a comprehensive solution, businesses can stay ahead in an increasingly data-centric world.
Integrations Supported
Activeeon ProActive
Git
IBM Cloud Databases
IBM Db2
IBM InfoSphere Data Replication
IBM Informix
IBM Rational Build Forge
Microsoft 365
Microsoft Excel
Microsoft Outlook
Integrations Supported
Activeeon ProActive
Git
IBM Cloud Databases
IBM Db2
IBM InfoSphere Data Replication
IBM Informix
IBM Rational Build Forge
Microsoft 365
Microsoft Excel
Microsoft Outlook
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
Company Location
United States
Company Website
support.sas.com/en/software/visual-data-science-decisioning.html
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/in-en/products/infosphere-data-architect
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Categories and Features
Enterprise Architecture
Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control