Algorithm Powered Social Situation Management

Legacy tools are incapable of automatically identifying when one fault is related to other faults, if there is any impact and whom or what is affected. Legacy tools impair our ability to plan and perform. Legacy tools were not designed to handle 21st century problems – and they are not situationally aware.

Enter Big Data Analytics – With a Twist

Incident.MOOG automatically identifies the existence of adverse Situations using stochastic algorithms which work as incidents unfold – not after the fact. And there’s a twist – Incident.MOOG drives social integration, breaking down IT silos to boost productivity.

Algorithm Powered Social and Situational Awareness

• No rules
• No business logic
• No model
• No maintenance

Incident.MOOG uses novel, data driven feature determination algorithms to automatically infer the existence of infrastructure abnormalities or, Situations, in real-time.

The result is a ‘Situation’ which contains an informationally related set of infrastructure status data (events, alerts, log and other textual messages). Situations describe the Most Significant Events (or related causal messages) and Impacted Events.

Advanced analytics enables Incident.MOOG to infer Situations while processing many thousands of telemetry messages per second. The result: inclusive Situational Awareness throughout the IT stakeholders: Support, Help Desk, Production, Engineering and their End-User customers.

This Situational awareness enables affected business services, end users and customers to be quickly identified; allowing appropriate resources to be assigned and informed decisions to be made.

The Value of the Situation

Incident.MOOG’s ability to identify Situations is the core driver of Situational processes and Social behaviour.

Incident.MOOG records the time life cycle of the Situation, time-stamping any content it contains such as:

• Informationally related Events
• Impacted applications
• Impacted Services
• Journaled activities
• Conversations (internal support, end-user and supplier dialogs)
• End-User feedback
• Multi-media help content (documents, diagnostics results, videos)

Information Asset. Each Situation amasses an individual profile or signature of behaviour over time, which unlike a trouble ticket report, becomes a highly valuable information asset.

MOOG Signature Library. Incident.MOOG retains all previous Situations in a Signature library. Signatures represent the cornerstone of a trust-worthy and reliable proactive management capability based upon information, fact and truth rather than historic trending based guesswork.

Proactive and Predictive Management with Incident.MOOG

During the life of a Situation, from when it is initially inferred through to its closure, Incident.MOOG is continually comparing its Signature the Situations retained in the Signature Library.

When similar Signatures are found, the impact profile, tags and conversations from those previous Situation Rooms are presented to the current Situation Room members to aid and hasten the resolution of the current Situation and, to allow informed discussions and customer discourse.

Early warning information can be used to make resource activity prioritisation and business continuity decisions.

Analysis of Situation histories means informed Problem Management activities can be carried out; intelligent Runbook Automation can be implemented to seamlessly rectify known Faults in the future without human intervention.