1. A method of dynamically avoiding an information technology operational incident in a
business process, the method comprising:
mapping, by an incident avoidance device, real-time unprocessed operational data with respect to an information technology (IT) transaction in the business process against a dynamic baseline for each of a set of relevant key performance indicators (KPI’s) for the IT transaction;
dynamically detecting, by the incident avoidance system, an anomaly in the real-time unprocessed operational data based on the mapping;
determining, by the incident avoidance system at an about time of the anomaly, one or more contemporaneous anomalies in real-time unprocessed application data and real-time unprocessed infrastructure data with respect to a plurality of applications and a plurality of components of an IT infrastructure respectively, wherein the plurality of applications and the IT infrastructure enables the business process;
dynamically identifying, by the incident avoidance system, a root cause of the anomaly by correlating the anomaly and the one or more contemporaneous anomalies; and
providing, by the incident avoidance system, the root cause for redressal so as to dynamically avoid the IT operational incident.
2. The method of claim 1, further comprising:
streaming without persisting, until dynamically detecting the anomaly, the real-time unprocessed operational data, the real-time unprocessed application data, and the real-time unprocessed infrastructure data.
3. The method of claim 1, further comprising:
identifying the set of relevant KPI’s for the IT transaction from among a plurality of pre-defined KPI’s; and
determining the dynamic baseline for each of the set of relevant KPI’s in real-time using at least one of a statistical pattern discovery model, or a machine learning model.
4. The method of claim 1, further comprising:

persisting, upon dynamically detecting the anomaly, on the real-time unprocessed application data and the real-time unprocessed infrastructure data within a pre-defined window of the about time of the anomaly.
5. The method of claim 1, wherein the correlating comprises performing complex event processing to identify one or more events within a pre-defined time window of the about time of the anomaly.
6. The method of claim 1, wherein the correlating comprises determining at least one of a deviation from a good state, or a non-compliance to an expected state.
7. The method of claim 1, further comprising at least one of:
providing visualization of the anomaly and of the root cause of the anomaly to a user, or providing a natural language description of the anomaly and of the root cause of the anomaly to the user.
8. The method of claim 1, wherein providing the root cause for redressal further comprises:
determining a recommended action to redress the root cause of the anomaly; and
at least one of providing the recommended action to a user, or implementing the recommended action.
9. A system for dynamically avoiding an information technology operational incident in a
business process, the system comprising:
an incident avoidance device comprising at least one processor and a computer-readable medium storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
mapping real-time unprocessed operational data with respect to an information technology (IT) transaction in the business process against a dynamic baseline for each of a set of relevant key performance indicators (KPI’s) for the IT transaction;
dynamically detecting an anomaly in the real-time unprocessed operational data based on the mapping;
determining, at an about time of the anomaly, one or more contemporaneous anomalies in real-time unprocessed application data and real-time unprocessed

infrastructure data with respect to a plurality of applications and a plurality of components of an IT infrastructure respectively, wherein the plurality of applications and the IT infrastructure enables the business process;
dynamically identifying a root cause of the anomaly by correlating the anomaly and the one or more contemporaneous anomalies; and
providing the root cause for redressal so as to dynamically avoid the IT operational incident.
10. The system of claim 9, wherein the operations further comprise:
streaming without persisting, until dynamically detecting the anomaly, the real-time unprocessed operational data, the real-time unprocessed application data, and the real-time unprocessed infrastructure data.
11. The system of claim 9, wherein the operations further comprise:
identifying the set of relevant KPI’s for the IT transaction from among a plurality of pre-defined KPI’s; and
determining the dynamic baseline for each of the set of relevant KPI’s in real-time using at least one of a statistical pattern discovery model, or a machine learning model.
12. The system of claim 9, wherein the operations further comprise:
persisting, upon dynamically detecting the anomaly, on the real-time unprocessed application data and the real-time unprocessed infrastructure data within a pre-defined window of the about time of the anomaly.
13. The system of claim 9, wherein the correlating comprises performing complex event processing to identify one or more events within a pre-defined time window of the about time of the anomaly.
14. The system of claim 9, wherein the correlating comprises determining at least one of a deviation from a good state, or a non-compliance to an expected state.
15. The system of claim 9, wherein the operations further comprise at least one of:
providing visualization of the anomaly and of the root cause of the anomaly to a user, or

providing a natural language description of the anomaly and of the root cause of the anomaly to the user.
16. The system of claim 9, wherein providing the root cause for redressal further comprises: determining a recommended action to redress the root cause of the anomaly; and at least one of providing the recommended action to a user, or implementing the
recommended action.