The onset of ServiceNow has relieved the IT Services workforce. With CloudFabrix RDA added to it, we made it even better. Let’s face it that many IT Service transformation implementations take longer because of a lack of automation around migration and production. The efficiency of ITSM is further compromised due to the absence of data automation and enrichment.
ServiceNow with Robotic Data Automation stirs a positive impact on three critical areas of data operations ITSM teams. These three impact areas are data migration, implementation, and production.
And, here is how RDA charges up each of these areas, adding enhanced efficiencies over your existing use of ServiceNow.
Enhanced ServiceNow Solution with Acceleration
1. Accelerate Migration and Knowledge Reuse
You need to map a few foundational fields from existing systems into ServiceNow. Those fields have certain specific values. Right now, there is no easy way to migrate from your existing systems. With Cloud Fabrix’s RDA solution customized for ServiceNow you can automate field mapping and transferring selected field values. Further, you can automate validation of ported data. ITSM teams can also export data from your existing tools and archive them to a selected destination like S3 etc at an accelerated pace. You can do this from any ITSM tool such as Jira, Remedy, and so on. You could also use historical data to build ML models so your ITSM users don’t have to wait for a long time for the AI/ML systems to learn from the ServiceNow data.
This can also be applied for knowledge reuse. ITSM teams can gain insights from extracted data for planning. The machine learning model accuracy for data migration can be improved over time with constant reuse of the tool for your use cases.
Read more: eBonding integration of ServiceNow incidents with 5 destinations.
2. CMDB updates and advanced insights
During the implementation of ServiceNow, RDA validates all migrated data and ensures that critical data is migrated. CloudFabrix also provides asset discovery and dependency mapping and using RDA can update external sources, which in this case, will be ServiceNow CMDB database. The discovery and implementation updates happen continuously so the teams will be always working with the current and accurate CI data. This enables ticket enrichment and tagging flows with Service Now. RDA also comes with additional NLP to help ServiceNow implementation..
3. ML-Driven Incident Management
Incident management with RDA provides inline NLP insights that deal with sentiments, categories, etc. You could also derive predictive insights for assignment groups, apply custom entity extraction and summarization. In case of tickets raised and unresolved incidents, smart remediation is applied through automatic workflow/RPA invocation. For every incident when a ticket is launched the algorithm automates root cause analysis, collection of incident-centric telemetric data such as metrics, logs, traces, etc. This further provides recommendations for the knowledge base and workflows.
4. Enhanced Change and Risk Management
RDA enriches change requests with impact analysis and automates invocation of change workflows. It provides insights into risk and compliance with alerts and traces back to code-level changes. Risk scoring with historical data and analysis provides a feed for further automation of specific risk alerts.
RDA comes with CloudFabrix AIOps solution or can be used in standalone mode
RDA is an inherent feature of the complete AIOps solutions provided by CloudFabrix. It can also be used as a standalone module to start with. If you are a ServiceNow partner, you can customize this technology for quick market adoption deliberated for your solutions. CloudFabrix’s RDA solution over ServiceNow provides visibility across the organization’s other relevant changes that are made by the ITSM teams.
