Mature, data-driven organizations are implementing ServiceNow data replication tools to make the most out of their ServiceNow data.

Data replication is the process of extracting, and then copying data across multiple locations in an enterprise. The process can be one-time or an ongoing activity, depending on the organization’s varying needs.

When automated, ongoing data replication enables data synchronization. By keeping data systems synchronized, organizations can maintain consistent and accurate data updates across the enterprise.

Why replicate ServiceNow data?

A leading cloud solution, ServiceNow provides software as a service (SaaS) to support organization’s IT service management (ITSM) efforts.

The platform provides a robust set of capabilities including reporting, analytics and backup/restore. These capabilities help organizations analyze and make use of the vast amount of data collected by the platform.

However, without integrating the platform with other IT solutions, ServiceNow data is siloed from the wider enterprise. This is particularly relevant to large enterprises, who implement ServiceNow into complex enterprise architectures.

ServiceNow data replication is required to take ServiceNow data from its silo and integrate it with the wider organization.

Replicating ServiceNow data into other systems – such as data warehouses and reporting databases – gives organizations an efficient and consistent means of distributing data to where it is needed.

This gives organizations more options in terms of how they use the data. It also means ServiceNow data can be understood in context of the wider enterprise, creating a single source of truth.

Without integration, organizations cannot benefit from a single source of truth. The insight from ServiceNow’s data is limited, as it does not account for the current state of the wider enterprise.

This increases the likelihood that insight from ServiceNow data is out-of-date, misleading or inaccurate.

This is why enterprises need ServiceNow data replication.

Data replication is a key component in system integration and data synchronization.

In order to effectively synchronize ServiceNow data with other systems, ServiceNow data must be replicated dynamically, in as close to “real-time” as possible. This helps maintain a single source of truth across integrated systems.

The primary goal of ServiceNow data replication is to improve data availability and accessibility and ensure system robustness and data consistency across platforms. It makes accurate data available to all relevant stakeholders, when, where, and in the format they need.

Top 6 reasons enterprises implement ServiceNow data replication:

Organizations implement ServiceNow to fulfill the following business requirements:

  1. Data extraction
  2. Data synchronization
  3. Data recovery, backup, and restore
  4. Preserving system performance
  5. Preserving network performance
  6. Preserving test system performance

1. Replicate ServiceNow data for data extraction:

Many enterprises want to extract massive volumes of ServiceNow data in bulk for analytics and reporting.

Data replication can be used to facilitate this by replicating data at the source (ServiceNow) into the target (i.e. a data warehouse). The target can then be queried by a multitude of reporting and analytics tools.

2. Replicate ServiceNow data for data synchronization:

Mature, data-driven organizations need to ensure their ServiceNow data is in sync with the wider enterprise. Synchronizing systems requires the data in one system, to be replicated into the target system and vice-versa.

If you have an existing data warehouse and a standard reporting environment, ServiceNow may be just one of the data sources for the reporting team.

For the data to be insightful, it cannot be siloed from the wider enterprise. ServiceNow data replication to an on-premise database removes this silo, allowing departments across the organization to work from a single source of truth.

3. Replicate ServiceNow data for data backup and restore:

Businesses need the ability to backup data for use cases such as disaster recovery and migration. Data replication for this purpose prevents data loss, supporting data recovery, reliability and availability.

This is critical for large enterprises where systems such as ServiceNow support critical business functions. In the event of a system failure, data can be recovered, greatly aiding business continuity.

4. Replicate ServiceNow data to preserve system performance:

Replicating ServiceNow data to another system reduces the number of queries on the primary server, benefiting processing time. This allows admins to undertake more important, resource-intensive operations.

5. Replicate ServiceNow data to preserve network performance:

Depending on the type of integration, data replication can help preserve network performance.

Ensuring there are data copies across multiple locations greatly minimizes data access latency by retrieving the needed data from the location where the transaction is taking place.

The result is enhanced access times and balanced network load. However, organizations should avoid using API-calls to facilitate this type of integration as they inherently limit network performance. Fortunately, there are native solutions that avoid such performance issues.

6. Replicate ServiceNow data to preserve test system performance:

Data replication can preserve test system performance. Replication makes it easy to distribute and synchronize data for test systems which require quick access to enable fast decision making.

But how do you move large amounts of data securely without impacting performance?

Benefit from real-time insights without slowing down ServiceNow

Organizations that want to benefit from real-time insight without impacting ServiceNow’s performance, should replicate ServiceNow Data with Perspectium DataSync.

Perspectium DataSync is an expert data integration solution that allows organizations to move and replicate huge volumes of ServiceNow data without impacting performance.

It is designed to keep your ServiceNow production and sub-production instances in sync, allowing you to develop and test your ITSM data without resorting to “all or nothing” cloning. Organizations have greater control over replication and can choose what to replicate and when.

Furthermore, DataSync lets organizations replicate and extract ServiceNow data without resorting to API based web-tools, consuming ServiceNow bandwidth and slowing query speed. It allows the creation of sophisticated data synchronization scenarios without any coding.

DataSync’s features include:

  • Automated Datastore creation and real-time modification of schema
  • On-premise or cloud datastore compatibility
  • Built-in encryption at rest and data obfuscation feature
  • Fully managed availability and throughput monitoring with OLA definition
  • End-to-end services enablement

Customers like GE, Accenture, and ServiceNow already rely on Perspectium. If you’d like to get started soon, talk to us today!

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