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Blazent Launches Closed-Loop Data Quality Initiative

Blazent announced a new initiative called "Closed-Loop Data Quality" that will amplify the value of leading IT service management platforms and enhance the return on investment for large IT initiatives.

Blazent’s Closed-Loop Data Quality initiative combines the analytics and data quality capabilities of Blazent with the process and workflow of leading IT service management platforms to close data quality gaps that often exist in configuration management databases (CMDB) and asset repositories.

When addressed properly, improved data quality levels can deliver many tangible benefits, including the following customer examples:

- Quicker Outage Restoration (90% reduction in engineering hours spent addressing outages)

- Elimination of Redundant Systems & Devices (15% reduction in global endpoint inventory)

- Less Reharvesting of Data (5,000 manual hours eliminated by a single automated inventory audit)

- Improved CMDB Confidence & User Adoption (30% improvement in CMDB data accuracy)

- Better Decisions Based on Accurate Data (5% reduction in total IT asset costs).

The integration of Blazent with popular service management platforms ensures that large IT organizations are operating with the best possible information, and when discrepancies are identified, they can be quickly routed and resolved using the ITIL-based workflow specific to the service management platform in use.

“Blazent is delivering a unique and much needed contribution to the service management marketplace with its Closed-Loop Data Quality initiative,” said Dennis Drogseth, Vice President at Enterprise Management Associates. “While many CMDB vendors talk about configuration item (CI) reconciliation, none provide the distinctive value that Blazent can in consolidating and reconciling trusted-source data based on analytics rather than just assumptions. This value can also extend to many other use cases, any one of which can significantly help IT optimize both its operational and management toolset efficiencies.”

Blazent’s Closed-Loop Data Quality initiative will include out-of-the-box integration solutions with the leading service management platforms as well as partnerships with the leading IT consulting firms who are advising the clients on these systems.

“The integration of Blazent with the leading service management systems will be a home run for our joint customers,” said Gary Oliver, CEO of Blazent. “For over 10 years, Blazent has delivered the highest level of IT analytics and data quality to help our customers reduce costs, eliminate risk, and improve overall service delivery. With this new initiative, our innovative technology can be leveraged to enhance the value of leading service management platforms to create an environment of closed-loop data quality.”

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Blazent Launches Closed-Loop Data Quality Initiative

Blazent announced a new initiative called "Closed-Loop Data Quality" that will amplify the value of leading IT service management platforms and enhance the return on investment for large IT initiatives.

Blazent’s Closed-Loop Data Quality initiative combines the analytics and data quality capabilities of Blazent with the process and workflow of leading IT service management platforms to close data quality gaps that often exist in configuration management databases (CMDB) and asset repositories.

When addressed properly, improved data quality levels can deliver many tangible benefits, including the following customer examples:

- Quicker Outage Restoration (90% reduction in engineering hours spent addressing outages)

- Elimination of Redundant Systems & Devices (15% reduction in global endpoint inventory)

- Less Reharvesting of Data (5,000 manual hours eliminated by a single automated inventory audit)

- Improved CMDB Confidence & User Adoption (30% improvement in CMDB data accuracy)

- Better Decisions Based on Accurate Data (5% reduction in total IT asset costs).

The integration of Blazent with popular service management platforms ensures that large IT organizations are operating with the best possible information, and when discrepancies are identified, they can be quickly routed and resolved using the ITIL-based workflow specific to the service management platform in use.

“Blazent is delivering a unique and much needed contribution to the service management marketplace with its Closed-Loop Data Quality initiative,” said Dennis Drogseth, Vice President at Enterprise Management Associates. “While many CMDB vendors talk about configuration item (CI) reconciliation, none provide the distinctive value that Blazent can in consolidating and reconciling trusted-source data based on analytics rather than just assumptions. This value can also extend to many other use cases, any one of which can significantly help IT optimize both its operational and management toolset efficiencies.”

Blazent’s Closed-Loop Data Quality initiative will include out-of-the-box integration solutions with the leading service management platforms as well as partnerships with the leading IT consulting firms who are advising the clients on these systems.

“The integration of Blazent with the leading service management systems will be a home run for our joint customers,” said Gary Oliver, CEO of Blazent. “For over 10 years, Blazent has delivered the highest level of IT analytics and data quality to help our customers reduce costs, eliminate risk, and improve overall service delivery. With this new initiative, our innovative technology can be leveraged to enhance the value of leading service management platforms to create an environment of closed-loop data quality.”

The Latest

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...