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Use Case: Within a firm there are technical incidents that get reported and later resolved. The problem is to find how many incidents will occur in future, this would help tech support to arrange tech support guys. Also we need to find the major cause for a particular incident

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Incident_Data_Analysis

Use Case: Within a firm there are technical incidents that get reported and later resolved. The problem is to find how many incidents will occur in future, this would help tech support to arrange tech support guys. Also we need to find the major cause for a particular incident

Dataset

1stslide

The dataset includes incidents that have occured from 2016-11-01 to 2017-04-30

The following graph plots incidents priority wise

Distribution Of Incidents Priority wise from 2016-11-01 to 2017-04-30

priority1 priority2 priority3 priority-4 priority-5

Training Data-

From 01/11/2016 To 23/04/2017

Testing Data-

From 24/04/2017 To 30/04/2017

Model-1.1

model1forecast

model1predictiongraph

Actual

Predicted

Model-1.2 (Removed Outliers)

model2forecast

model2predictiongraph

Actual

Predicted

Model-1.3 (Removed Trend)

model3graph

model3predictiongraph

Actual

Predicted

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Use Case: Within a firm there are technical incidents that get reported and later resolved. The problem is to find how many incidents will occur in future, this would help tech support to arrange tech support guys. Also we need to find the major cause for a particular incident

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