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Ratings and Reviews 0 Ratings
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What is StonePaper?
Thorough monitoring of supply chains for both digital and physical assets is vital. It involves tracking the entire journey of raw materials, components, and facilities from their source to the final sale, ensuring that every log, report, and inspection is accurately documented alongside the product. By leveraging analytics, organizations can uncover trends related to item movement, bringing together information about all partners, products, and components into a single, cohesive platform. The capability to trace a product back to its origin not only bolsters authenticity verification but also aids in defect tracking and streamlining recall processes. Furthermore, comprehensive reporting on the history of products is crucial for adhering to regulatory compliance standards. TrackR offers an efficient data management solution that promotes collaboration among all stakeholders in the value chain, spanning from the initial source to the point of sale. By securely integrating your organization's data with that of your partners on one accessible platform, you gain effortless visibility into your operations. The implementation of access-controlled blockchain technology further alleviates security concerns associated with sharing sensitive information. This all-encompassing approach not only optimizes operations but also fosters trust and transparency among all participants in the supply chain. Ultimately, such a system empowers organizations to make informed decisions that enhance overall efficiency and accountability.
What is IBM InfoSphere Optim?
Proper management of data throughout its entire lifecycle is crucial for organizations to meet their business goals while reducing potential risks. Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes. By distributing data across different applications, databases, operating systems, and hardware, organizations can improve the security of their testing environments, accelerate release cycles, and decrease expenses. Failing to implement effective data archiving can lead to significant degradation in the performance of essential enterprise systems. Tackling data growth directly at its origin not only enhances efficiency but also minimizes the risks associated with long-term management of structured data. Moreover, it is important to protect unstructured data within testing, development, and analytics settings throughout the organization to preserve operational integrity. The lack of a solid data archiving strategy can severely impact the functionality of critical business systems and hinder overall success. Consequently, taking proactive measures to manage data effectively is fundamental for cultivating a more agile, resilient, and competitive enterprise in today's fast-paced business landscape.
Integrations Supported
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
Integrations Supported
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
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
StonePaper
Company Location
United States
Company Website
stonepaper.io
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/analytics/optim
Categories and Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Categories and Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management