Dashboards and visualizations provide quick insights into operational status and data trends.
Real-time monitoring: This is the very core of what defines OI. Every OI solution will monitor its data sources in real time. Whether that data is drawn from manufacturing floor machine sensors, a retail sales feed or alerts generated when an application deployed to customers begins to crash, the key feature of OI is that analysis and alerts are provided as they happen, often within seconds of the event data being generated.
Dashboards and visualizations: Another essential feature of OI is its ability to digest complex information and present it in an easily understandable format. Dashboards are the common mechanism for this, presenting information in a graphical form that takes a mountain of data and makes sense out of it. In a capable OI system, dashboards are also customizable based on the user. A financial auditor and a product developer may both rely on OI information, but will have vastly different decisions to make from it. The ability to customize the way the dashboard and data visualizations look, and what data they rely on, is an essential feature.
Real-time alerting systems: Operational intelligence is also designed to alert the user when key events occur. The user can set specific conditions and thresholds for which a notification is generated. This alert is then populated on the dashboard and/or pushed to the user via email or a mobile device notification, allowing for a proactive response.
Industry-specific analytics: OI solutions are appropriate for a vast array of industries, from manufacturing to retail to financial services, but the needs of those users will be variable. A telecommunications company will have different challenges than a national retail chain or a healthcare provider. Dashboards can be configured based on the company’s industry, making the most important and relevant information visible to the end user.
On-demand report generation: A live dashboard is useful for responding to situations in the moment, as are reports for presenting information to others and building a broader picture of the present environment. The best OI solutions offer reporting that is accessible to everyday users, not just expert data scientists.
- Big data and machine learning capabilities: OI leverages artificial intelligence, enabling advanced models and algorithms to make sense of vast data stores. A capable OI solution must be able to index hundreds of terabytes of data each day, processing and analyzing it to continuously predict potential outcomes and expose new market opportunities.
- Automatic remediation operations: What happens when your OI solution determines there’s a problem? It can either alert you or take action to repair the problem itself. Automatic remediation is a groundbreaking features of OI, with powerful scripting allowing certain operations to be automatically repaired via algorithmic operations.
- Infinite scalability: Data storage and processing needs are expanding exponentially, and an OI solution needs to be able to keep up with this to be of any use. Properly designed OI technologies should be able to scale without limit by simply adding computing power on the fly via a cloud-based infrastructure.