ITC Analytics Accelerator

OVERVIEW

5i: 
Ideation: defining
Intelligence: process of prediciton
Inception: model building
Intervention: Developing a segment
Independance: Live


DATA ENGINEERING
collection
Sructuring
Cleaning


ALGORITHUMS
Classification & Regression
Decision Tree
Tree based Algorithums (RF model
Ensemble models


MODEL PERFORMANCE
Model selection

AI & ML
ML
supervised
Unsupervised

DEEP LEARNING
Reinforment learning
CNN

IMPLEMENTATION of ADVANCED ANALTICS
Tracking

CHANGE MANAGEMENT
Piller & Practics

Advanced Analytics

Value of AA

• Evolution: Excel > Storage > Tableu > Alerts > predicting the future > ML >
• Applications:
  • Descriptive (historical. advanced statistics) >
  • Predictive (Future. Uses ML. detection of fraud) >
  • Prescriptive (influence the future. Data driven decision making); Optimization;