Improving Data Quality and Consistency in the CMDB
Initial Situation
Statement from a Raiffeisen Bank Representative
“Our cooperation with Unicorn was excellent. During the CMDB project, Unicorn participated in reviewing data in the CMDB and proposing improvement measures. We appreciated their professional approach to project management, strong technical expertise in CMDB and automation, and their ability to respond flexibly. Their team maintained close collaboration with our internal teams in the bank, which led to the sharing of valuable experience and brought high added value for the continuous improvement of the CMDB and its management.”
Tomáš Dragoun, IT Infrastructure Strategy Manager
Our Solution
Efficient methods for maintaining this consistency are important not only for keeping the financial cost of remediation low, but especially for keeping MTTR (Mean Time to Repair) low, which potentially improves the availability, integrity, confidentiality, and overall security and quality of IT services.
Unicorn Systems identified more than 30 differently sized clusters of inconsistencies in the Atlassian Insight (CMDB) system related to the following types of CMDB objects and corrective actions:
- Identification and submission of proposals to the customer’s Enterprise Architecture (EA) team
- CMDB verification and data corrections
- Specification of application assignment automation
- IQL (Insight Query Language) scripting, creation of reports to maintain CMDB consistency
- Coordination of workflows within the server lifecycle (linking with applications, decommissioning)
Unicorn delivered the following within the project:
- Corrections of all problematic areas in the CMDB
- Consulting and assistance to the customer’s internal teams with correcting data in their CMDB objects
- Identification of the customer’s external support teams for their registration in the CMDB
- Identification and design of application assignment automation using existing database schema assignments
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