To improve the quality of insight available, organizations can connect ServiceNow to predictive analytics solutions such as Tableau and SAP Hana via integrations.

What is Predictive Analytics?

Predictive analytics solutions analyze historical data to create models for predicting business outcomes. They help organizations understand the past in order to gain insight into the future. 

Predictive analytics is comparable to business intelligence, but instead of simply pulling insights out of existing data sets, users can develop machine learning algorithms and predictive models to support the insights.

Predictive Analytics in ServiceNow – Predictive Intelligence

Some predictive analytics capabilities are available to ServiceNow users through the platform’s Predictive Intelligence feature. Predictive Intelligence applies the power of Artificial Intelligence (AI) and Machine Learning (ML) to workflows to help produce insights for optimization. 

With Predictive Intelligence, organizations can produce insight that can reduce the time-to-resolution of open cases and reduce error rates and costs.

An example use case for Predictive Intelligence is using AI and ML to analyze new Incident descriptions, and have the platform generate the most suitable prioritization for the case by analyzing historical data.

However, Predictive Intelligence isn’t a fully-fledged predictive analytics solution in the vein of Tableau or SAP Hana, and its scope for analytics is limited to ServiceNow data only. 

As such, many organizations wish to integrate ServiceNow with purpose-built Predictive Analytics solutions to expand their capabilities and to analyze ServiceNow data in context with other enterprise data.

Integrating ServiceNow with Predictive Analytics Solutions

The quality of insight provided by predictive analytics is directly related to the volume and quality of data fed into them. This makes solutions such as ServiceNow an excellent source of data for predictive analytics, and a common integration for predictive analytics solutions.

The ServiceNow platform produces a massive amount of insightful data that predictive analytics solutions can tap into. However, extracting the data from ServiceNow for use in predictive analytics solutions can be difficult without the right tools. 

Organizations need an efficient means of transferring massive amounts of ServiceNow data into predictive analytics solutions, ruling out manual processes where throughput is severely limited and the potential for human error negatively impacts data quality. 

Fortunately, integrations can provide an automated means of transferring ServiceNow data into predictive analytics solutions, circumventing the pitfalls of manual processes. 

Organizations should note that the potential throughput of integrations varies from vendor to vendor, and across the different types of integration. 

So to access the best quality insight, organizations need a ServiceNow integration capable of massive throughput. 

The most secure and efficient way to leverage ServiceNow data for Predictive Analytics is by extracting and replicating the data to an external repository, such as a data lake or data warehouse that can feed the data into your chosen Predictive Analytics solution (and any other solution that can make use of ServiceNow data).

Top 5 Benefits of Integrating ServiceNow with Predictive Analytics Solutions

  1. Enhance ServiceNow’s Predictive Capabilities

Integrating ServiceNow with a purpose-built predictive analytics solution means organizations can augment ServiceNow’s operational data with predictive analytics. The insight this produces can help in optimizing resource allocation and improve levels of service. 

Advanced statistical and machine learning capabilities make it easier to identify patterns, trends and issues, and provide insight that can help organizations anticipate future problems and requirements. 

  1. Analyze ServiceNow Data in Context

ServiceNow’s analytics and reporting features are limited to working with ServiceNow data only. This limits the value of the insight created as it cannot be contextualized with the wider organization. 

Since many ITSM-related operations are carried out across a range of different solutions, the ability to extract ServiceNow data and combine it with other sources helps produce insight that reflects the whole organization. 

For example, data and information relating to a case or incident originating in ServiceNow may need to be replicated within a solution used by the development team.

Transferring the relevant data from both platforms to a purpose built predictive analytics solution can provide more detailed and accurate insight into the time-to-resolution of cases that exist across multiple solutions.

  1. Improve Data Accuracy and Availability

Implementing an integration to automate the transfer data from ServiceNow into Predictive Analytics solutions limits the potential for human error and resulting data quality issues. 

Integrations are also capable of far higher throughput than manual processes, meaning massive amounts of data can be transferred quickly, and that the Predictive Analytics solution has a rich source of data to draw from.

  1. Improve Data Visualization Capabilities

Many organizations require more advanced data visualization capabilities than the ServiceNow platform offers out-of-the-box. 

Integrating ServiceNow with purpose built predictive analytics solutions lets organizations access a wider range of visualization options to support decision making.

  1. Provide Access to ServiceNow Data to Non-ServiceNow users

Integrating ServiceNow data with predictive analytics solutions allows an organization’s data teams to work directly with ServiceNow data without requiring a ServiceNow license.

Meaning they can access the Platform’s rich source of data to generate insights using purpose-built solutions including performance analytics tools. 

Organizations can control access to sensitive ServiceNow data, only granting access to authorized stakeholders of different departments with various business needs. It helps avoid misuse or breach of business-critical data.

High-throughput ServiceNow Integrations 

As the quality of insight produced by predictive analytics solutions is directly related to the amount of quality data fed into the platform, organizations need to ensure any integration they implement can meet their requirements for throughput. 

Fortunately, ServiceNow is partnered with Perspectium – an integration-as-a-service provider specializing in high-throughput integrations.

Perspectium customers can move over 1 billion records per month without impacting performance to ensure data gets to where it needs to be, when it needs to be there.

This makes Perspectium the perfect integration solution for connecting ServiceNow to data-intensive platforms such as AI, BI, ML, and Predictive Analytics solutions.

What’s more, Perspectium integrations are fully managed – experts well-versed in the nitty-gritty of ServiceNow implement and manage all integrations 24x7x365. So, organizations need not allocate costly internal resources to build, implement and support the integrations. 

Curious to learn more about Perspectium integrations for ServiceNow? Talk to us!

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