ServiceNow ITOM Specialist Support

@mayankinnovative

The primary goal is to make CMDB data reliable and operationally useful by configuring Discovery, Service Mapping, and dashboards end-to-end within your live ServiceNow ITOM environment. I will systematically tune MID Server connectivity, credentials, horizontal/top-down Discovery patterns, and CMDB quality, followed by the creation of validated service maps and live KPI-based Performance Analytics dashboards. My Approach: First, an audit of current Discovery, MID, and CMDB health; next, identification, reconciliation, and Discovery tuning; followed by Service Mapping validation for Tier-1 applications. Finally, I will create operational and trend/health dashboards using CMDB and event data, validating them through a live demo. I will provide XML/update sets for every configuration along with concise hand-off documentation. 1. Are MID Servers and required credentials already configured? 2. Is a list of Tier-1 applications and their application owners available? 3. Are Performance Analytics and Workspace already enabled? I will complete the implementation according to your acceptance criteria, delivering clean CMDB data, maintainable service maps, and leadership-ready dashboards.

@alfatrade2

I have experience in building monitoring systems with a two-stage AI classification pipeline and integrating data from external sources. I have configured crawlers with anti-bot protection bypass and process automation via REST API. How do you plan to ensure the relevance of service maps when the infrastructure changes?

@bojans9

Hi, Bojan here, from Serbia. Building your ServiceNow ITOM specialist support with two executive dashboards comes down to one thing: numbers people trust and use to make decisions. I'm a senior software developer with 8+ years of experience working with Data Visualization and XML. For your ServiceNow ITOM specialist support, the real challenge is clean data and clear definitions. A common issue: building visuals before agreeing how each number is calculated, so reports disagree. My plan: first, agree each metric, its definition and its data source. Then, clean and model the data, and build the report pages in the BI tool. Finally, check totals against the source and set up scheduled refresh. I've done reporting work before, so I check early for totals that do not match the source. A few questions to better understand the scope: 1. Does the data include personal details? Then I set row-level access, so each viewer sees only their part. 2. Build one shared data model for all reports? I'd recommend it, every report then shows the same numbers. 3. Do viewers open reports mostly on phones? Then I build a mobile layout with the key numbers on top. I can start right away. Happy to go over the details here in chat and suggest the best approach. Looking forward to hearing from you, Bojan