ServiceNow Integration Use Cases that Improve Operations, Alignment and More

1. Service Management Data Integration: A Guide

2. Service management data integration helps unsilo enterprise and customer data, granting service management professionals a comprehensive view of the right information. Service-management requires consistent and accurate data. But this consistency is difficult to achieve when disparate tools lead to information silos – and the implications are huge. Not having the right data available, among the right people, at the right time can undermine the integrity of an organizations data-driven decisions. Gartner estimates that 97% of business decisions are based on data of unacceptable quality. Further reports indicate flawed data costs companies an astounding 20% of their revenue. Two leading drivers of poor data quality are unintegrated shadow IT and siloed applications. A Symantec study showed that 1,516 cloud apps are in use by the average enterprise, but CIOs believe that only 30-40 cloud apps are in use by their enterprise. This means many unused apps could be generating useful data that is disconnected from the enterprise.

3. What Is Data Integration? Data integration means getting the right data from there to here—so that the data can ultimately be used to offer better service and inform business decisions. • Through better data integration, organizations can enable mass data synchronization between a service-management application (like ServiceNow, Jira or Salesforce) and other endpoints—either in batch updates, or dynamically in real-time. • Such interconnectivity between business applications is fundamental to automating business (and IT) processes. Often those applications will need data to be transformed to a different format as it moves between them, and sometimes the applications are different versions or instances of the same tool—but whatever the case, you need to be able to get all the right data to the right place at the right time. • Why Do Data Integration? • Data integration is all about moving data from one place to another. This often involves large quantities of data, and the integrations are typically one-way.

4. Data integration is necessary for a variety of purposes, including the following: Data integration is necessary for a variety of purposes, including the following: • Developing and testing with real data • Promoting and sharing foundation data • Populating a CMDB from external sources • Syncing data for reporting • Copying to a big-data framework • Upgrading a tool or migrating to a new toolData integration exists because perfectly aligned data doesn’t. If you’re trying to get data from there to here, it’s because whatever data you have with you now is insufficient. • stom-built features, it becomes challenging to manage ServiceNow instances.

5. The Right Data Integration Solution for Service Management There are a number of different data integration solutions for Service Management use cases. The “Do it Yourself” (DIY Data Integration) approach is often assumed to be a cost-effective solution. However, for large organizations in particular, the reality does not typically meet this expectation, as DIY data integrations come with hidden costs. Creating and maintaining custom integrations at scale is often inefficient and expensive. As data volumes grow, custom integrations can severely impact ServiceNow performance, slowing organizations instances down.

6. Contact Us Location: 10801 N Mopac Expressway, Building 1, Suite 100, Austin, TX 78759 Contact: +1 888 620 8880 E-mail: info@perspectium.com More information about the topic visit https://www.perspectium.com/blog/service-management-data-integration/