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How do you audit and verify your CMDB data?

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A configuration management database (CMDB) is a repository of information about the assets and services in an IT environment. It helps you track the relationships and dependencies among them, as well as their configuration and status. A CMDB can improve your IT service management (ITSM) processes, such as incident, problem, change, and release management. But how do you ensure that your CMDB data is accurate, complete, and up to date? Here are some examples of how to audit and verify your CMDB data using different methods and tools.

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1 Data quality framework

One way to audit and verify your CMDB data is to use a data quality framework that defines the criteria and metrics for assessing the data. For example, you can use the ISO 8000 standard, which specifies the requirements for data quality, such as accuracy, completeness, consistency, currency, and validity. You can also use the ITIL 4 data quality dimensions, which include availability, capacity, compliance, performance, reliability, and security. By using a data quality framework, you can establish the expectations and goals for your CMDB data, as well as the methods and frequency of measurement and reporting.

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Justin Marcellis

Google Cloud Program Manager
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If you are looking to improve the quality of your CMDB data, I recommend using a data quality framework. A data quality framework can help you to establish the expectations and goals for your CMDB data, as well as the methods and frequency of measurement and reporting. This will help you to make better decisions about your IT infrastructure and services, reduce risk, increase efficiency, and improve customer satisfaction.

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2 Data quality tools

Another way to audit and verify your CMDB data is to use data quality tools that automate the process of checking and correcting the data. Using a data quality management (DQM) tool, such as Informatica, Talend, or IBM, can integrate with your CMDB and perform data profiling, cleansing, enrichment, and monitoring. You can also use a configuration management system (CMS) tool, such as ServiceNow, BMC, or Micro Focus, that can provide a logical model of your CMDB and perform data discovery, reconciliation, and verification. With these tools, you can reduce the manual effort and errors involved in maintaining your CMDB data, as well as improve the visibility and traceability of the data.

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Heinrich Smit
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Unless you're running a single practice with a handful of assets under unified control, CMDB and a host of other technologies inside the 1st foundational ZT pillar, Visibility & Analytics, cannot, or should not be manually managed. Which brings us to the 2nd foundational pillar: Orchestration & Automation. Asset Owners traditionally own responsibility for entering, removing, and managing their asset inventory in CMDB, because they are closest to knowledge about the asset. But with a more complex protect surface (more assets to track) this can be impracticable. Even the world's leaders struggled with stale CMDB data, until CMDB Automation & Orchestration matured. Today, technology is resilient, highly accurate, and up-to-date.

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Justin Marcellis

Google Cloud Program Manager
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Data quality tools can automate the process of checking and correcting data, which can save time and resources. Additionally, data quality tools can provide visibility and traceability of data, which can help to improve compliance and risk management. There are a number of different data quality tools available, so it's important to choose one that meets your specific needs. Some factors to consider when choosing a tool include: The size and complexity of your CMDB: Some data quality tools are designed for small CMDBs, others for large and complex CMDBs. The types of data you need to manage: Such as IT asset data or business process data. Your budget: Data quality tools can range in price from a few hundred dollars to tens of thousands.

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3 Data quality audits

A third way to audit and verify your CMDB data is to conduct data quality audits that involve the review and validation of the data by the stakeholders and owners of the data. For instance, you can use a data quality audit (DQA) tool, such as CMDB Audit, that can generate reports and dashboards that show the status and issues of your CMDB data, such as duplicates, inconsistencies, gaps, and deviations. A data quality audit process, such as the ITIL 4 data quality audit process, can also define the roles and responsibilities, scope and frequency, methods and techniques, and outcomes and actions of the data quality audit. Conducting data quality audits can ensure that your CMDB data meets the needs and expectations of the users and customers of the data, as well as comply with the standards and regulations of the data.

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Justin Marcellis

Google Cloud Program Manager
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Data quality audits are a great way to ensure that your CMDB data meets the needs and expectations of the users and customers of the data, as well as comply with the standards and regulations of the data. There are a number of different ways to conduct data quality audits. Some common methods: Manual audits: Manually reviewing the data to identify any errors or inconsistencies. Automated audits: Using a data quality tool to automate the audit process. Hybrid audits: Combination of manual and automated audits. The frequency of data quality audits will vary depending on the size and complexity of your CMDB, as well as the criticality of the data. Some organizations conduct data quality audits on a monthly basis, quarterly or yearly basis.

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4 Data quality improvement

The final way to audit and verify your CMDB data is to implement data quality improvement initiatives that aim to enhance the value and usability of the data. You may choose to use a data quality improvement (DQI) tool, such as Data Quality Pro, that can provide best practices and guidance on how to improve your CMDB data, such as defining data quality rules, policies, and procedures. You can also use a data quality improvement framework, such as the ITIL 4 data quality improvement framework, that can provide a structured and iterative approach to improving your CMDB data, such as defining the vision and objectives, assessing the current state, designing and implementing the improvement plan, and evaluating and sustaining the improvement. Through implementing data quality improvement initiatives, you can increase the confidence and trust in your CMDB data, as well as optimize the performance and efficiency of your ITSM processes.

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Iben Rodriguez

Information Infrastructure Security Automation - Tools Integration - Management Consulting - Corp to Corp - Drift Detection - Policy and Standards
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an easy way to rate the data quality is to graph the number of resources as seen by different tools. servicenow qualys rapid 7 prisma cloud cloudquery grafana axonius runzero etc and see where the discrepancies are.

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How do you audit and verify your CMDB data?

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1 Data quality framework

2 Data quality tools

3 Data quality audits

4 Data quality improvement

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