DATA ANALYTICS & PREDICTIVE ANALYSIS
Discover future outcomes and predict possibility of an event. Achieve this by combining the response function matrix along with rules decision matrix with historical data.
Build Regression Models
Create regression models using Splunk algorithms
Market Segmentation and Transactional Analysis
Anomaly Detection
Estimation and Prediction
Splunk ITSI Predictive Analysis
- Data extraction and cleaning; and
- Dimension modeling and segmentation; and
- Segregation of data into Training data set and Predicting Dataset; and
- Using Predictive algorithm according to the data object:
- Linear regression and non-linear pool regression model; and
- Classification methods like Bayes Classification, Logistic Regression, Decision tree, Random forest; and
- Cluster analysis like K-means.
- Improvisation of the model with business based value chain understanding; and
- Distribution/consumption of prediction into various decision points.