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What is XStream Labs?
The creation of IT Governance platforms tailored for the management of Large Computing Systems, especially those that implement Mainframe technology, seeks to revamp organizational methodologies and reduce financial burdens.
The Challenge:
The high ownership costs linked to Large Computing Systems pose a significant issue for many organizations.
Effective management of the diverse array of customers' Large Computing Systems necessitates a wide range of specialized products and numerous reports.
Crafting and monitoring the principles of effective IT Governance presents a considerable challenge, particularly as the principles struggle to keep pace with the swiftly evolving technological environment.
Moreover, there exists a notable skills gap in the realm of Large Computing Systems, which leads to an increased dependence on system integrators and outsourcing solutions.
The Proposed Solution:
To address these issues, the implementation of real-time tracking of hardware assets combined with the gathering of service delivery metrics will enhance management processes.
A comprehensive platform will be developed to manage both Large Computing Systems and the provision of business services effectively.
The application of Machine Learning technologies will facilitate the automatic categorization of metrics, allowing for their correlation with business service delivery and the related Key Performance Indicators.
This cohesive approach not only boosts operational efficiency but also equips organizations with the necessary agility to adjust to future technological shifts, fostering an environment of continuous improvement and innovation.
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 Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes.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
XStream Labs
Company Location
Italy
Company Website
www.xstream-labs.com
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