Datadog

Operational Task Automation

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

Analyze Activity Data

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

Event & Alert Management Automation

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

Machine Learning

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

Data Visualization

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

Incident Management Automation

Automate tasks such as incident tracking, assessment, prioritization, impact suggestion, prediction of potential incidents, and self resolution.

Performance & Capacity Management Automation

Algorithms automate performance & capacity management tasks e.g. identify workloads nearing capacity limits, identify bottlenecks and possible remediation.

Analyze Discovery Data

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

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.

Problem Management Automation

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

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.

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.

Ease of Data Integration

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

Ease of IT Administration

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

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.

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.

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.

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.

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.

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.

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.