Perspectium Integrating ServiceNow with a Data Lake or Data Warehouse

 

Data lakes and data warehouses are data storage solutions that are often integration targets for ServiceNow.

In this post, we address the differences between data lakes and warehouses, to help ServiceNow users make informed decisions as to what to integrate their ServiceNow data with.

What Data Lakes and Data Warehouses Have In Common

Data lakes and data warehouses are similar, in that they help organizations store and use data more efficiently. Both allow data to be collected from a number of sources.

As such, connecting ServiceNow to data lakes and data warehouses via integrations is common. 

Such integrations break down data silos, allowing organizations to combine data from disparate sources to create a unified view – a single source of truth – to support operations and business decisions. 

Example use cases for integrating ServiceNow data with a data lake/warehouse include analytics & reporting, data archiving, backups, business intelligence, machine learning, and artificial intelligence. Continue on https://www.perspectium.com/blog/integrating-servicenow-with-a-data-lake-or-data-warehouse/

Perspectium Mistakes to Avoid When Integrating ServiceNow

 

Understanding the mistakes to avoid when integrating ServiceNow can help organizations avoid incurring a costly technical debt. 

ServiceNow integrations allow organizations to transfer data between ServiceNow and systems that can put the data to better use, such as solutions for reporting, analysis, AI, BI, and ML. 

However, if the integrations are not fit for purpose, organizations will experience delays when transferring data, missing and/or corrupted data, poor data quality and other issues.

This blog highlights the common mistakes organizations make when implementing ServiceNow integrations. 

What Not.....

More knowledge visit our blog https://www.perspectium.com/blog/mistakes-to-avoid-when-integrating-servicenow/