Who is Decision-Zone, Inc.?
DZ is a Canadian Based company with offices in Toronto and New York that has a powerful and compelling software product that enables companies to automate and enhance business process discovery and management on a real time basis. It does this by enabling an enterprise to do the following:
1. Attach to its technologies and listen to events in real time
2. Define the business processes that are executed by the events
3. Monitor processes and detect anomalous events as they occur in real time
4. Attach an audit trail to these events
5. Report anomalous events to a management dashboard
Benefit Premise:
Currently business decisions are made on the basis of invalidated data. We provide accurate validated data for decision support, resulting in better decisions at lower cost.
Client Solutions and Benefits
Cost savings
Strategic capability
Reliable data for enterprise applications - enabling enterprise intelligence
| How the technology works
We apply advanced mathematical algorithms to detect patterns as they occur in the context of the causal and temporal logic among events. Real time capture and analysis of the underlying event logic enables us to identify and sequence events into correct business processes with extreme accuracy.
We have built attachments to event source technologies to enable the direct real time listening of over 95% of all business events in any firm regardless of size and complexity. If a client so desires, we can custom build the attachments for the remaining small percentage. Most process management situations would entail a significantly smaller subset of event sources.
The technology runs in real time, enabling the easy and practical handling of extremely large numbers of events, common in large global enterprises. Traditional applications apply retrospective data mining and modeling technologies to identify anomalous events in support of security and fraud detection efforts. Because the logical causality and temporal links between events are lost and must be recreated, data mining is costly and time consuming. Because the approach of traditional data mining relies on probabilistic modeling of imperfect data, achieving accurate results is often a challenge. We can identify all anomalous events that occur in monitored business processes with extreme accuracy in real time. |
| Our Methodology
The technology is indifferent to specific event characteristics because our methodology relies on the underlying causal and temporal event logic which is universal to events per se. This enables complete business process mapping and monitoring without the expert understanding of event characteristics. Articulating and making management decisions on the basis of our output would require domain expertise but we would create substantial cost and strategic advantage for clients. The domain specialists of DZ and our partners would work with clients to structure and customize the most beneficial solutions. |
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