AI TOOL PROFILE
Blazent Data Quality Management: IT & OT Data Intelligence
- Data and Analytics
- Data Quality
- Enterprise companies
- Managed Service Providers (MSPs)
- IT Service Management (ITSM) teams
- IT Operations and Security teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Managed Service Providers (MSPs), IT Service Management (ITSM) teams, IT Operations and Security teams
- Key use cases
- CMDB Accuracy Maintenance, Operational Tool Compliance, IT Estate Visibility, Audit and Governance Support
- Integrations
- ServiceNow, AWS
- Official website
- Visit blazent data quality management official website
How AI is used
Blazent is a Data Quality Management platform designed to address inaccuracies, gaps, and inconsistencies in IT and Operational Technology (OT) data. It uses a big data engine and machine learning to aggregate information from a wide variety of sources, which may help organizations reduce manual data harvesting.
The tool is designed for large-scale environments, including enterprises and Managed Service Providers (MSPs). It focuses on reconciling multi-source data to help ensure that Configuration Management Databases (CMDBs) are complete and accurate, supporting decision-making for security and operations teams.
Key capabilities include a data evolution process and a ServiceNow certification, which supports the ability to trigger remediation workflows from the platform. Because it is hosted on AWS, it provides cloud-based access without requiring on-premises hardware installation.
Buyers should confirm if their specific data source types are among the supported integrations and evaluate how the tool's reconciliation logic aligns with their internal governance standards.
Key Features
Data Evolution Process
A system that combines elements from multiple data sources using rules-based algorithms to create a record for each entity.
Multi-Source Reconciliation
Aggregates and aligns data from over 230 source types, including discovery tools and network platforms, to resolve discrepancies.
ServiceNow Integration
A certified integration that supports closed-loop workflows, allowing users to initiate incident tickets for data inaccuracies.
Machine Learning Adaptation
Uses ML to adapt to the volume, velocity, and variety of incoming IT and OT data.
Analytics Dashboards
Provides reports and alerts with pivoting and filtering capabilities to monitor data quality by server, PC, or operating system.
Entity Data Collection
Includes electronic aging to identify entities that have not been scanned within a specific timeframe.
Use Cases
CMDB Accuracy Maintenance
Populating and maintaining core CMDB data by reconciling multiple data sources to support a trusted inventory of record.
Operational Tool Compliance
Improving the data quality used by backup, monitoring, and antivirus tools to help ensure entities are correctly covered.
IT Estate Visibility
Supporting MSPs and enterprises in gaining a view of dynamic IT infrastructure for strategic decision-making.
Audit and Governance Support
Using processed data records to help address internal and external audits for IT and OT environments.
Integrations
- ServiceNow
- AWS
FAQ
What does Blazent do with IT data?
- Blazent collects data from various sources, uses a 'Data Evolution Process' and machine learning to resolve inaccuracies, and transforms it into a record for use in a CMDB.
Who is the intended buyer for Blazent?
- The platform is designed for enterprise companies, Managed Service Providers (MSPs), and IT operations, security, and IoT teams.
How does it work with ServiceNow?
- Blazent is ServiceNow certified and supports the ability to initiate incident tickets directly from the platform to address identified data inaccuracies.
Source category: Data & Analytics
Source subcategory: Data Quality
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