Analyze Activity Data

Analyze activity data (e.g. event logs, tickets, network packets).

Operational Task Automation

Execute operational tasks in response to commands, requests, incidents or alerts with minimal or no human supervision.

Analyze Discovery Data

Analyze data on the design of & components in the IT environment e.g., dependencies, endpoints, licenses, asset data, workflows, configuration data.

Data Visualization

Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

Explainable and Trainable Algorithms

Decisions and actions generated by the tool can be reviewed, and adjustments can be made to decision-making algorithms to improve results.

Incident Management Automation

Automate change control tasks (e.g. track/assess technical changes, suggest risk/impact, detect unauthorized change, manage change windows).

Performance & Capacity Management Automation

Automate performance & capacity management tasks (e.g. identify workloads nearing capacity, identify bottlenecks, suggest remediation).

Event & Alert Management Automation

Automate event & alert management tasks (e.g. manage alert thresholds, notify operator of a possible SLA breach).

Problem Management Automation

Automate problem management tasks (e.g. identify related incidents, create problem tickets, suggest root cause).

Machine Learning

Generate insights using machine learning algorithms (e.g. event prediction, anomaly detection, sentiment analysis).

Availability and Quality of Training

Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization

Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration

This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Breadth of Features

Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration

Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation

Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created

Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Product Strategy and Rate of Improvement

Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Quality of Features

Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness

End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Vendor Support

The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.