The Value of Data

The value of data across the chain as we look at data from different perspectives.

Early Stages of Data Analysis

• Data Collection
• Data Reporting
• Dashboard Reporting

Mid Level Data Analysis

• Metrics / Measures for Creation (Business Intelligence / Trends)
• Predictive (Forecasting)

Advanced Level

• Machine Learning Based Models
• End to End Automated Workflow chain with all levels of Data Analysis

Pain Points of BI

• Reactive Mode - It doesn't help us to know the future but rather learn from past
• Data Distribution - Cannot fit Data and Distributions to understand better, Data can be fit into any form of pattern / distribution. BI does not help us Deep Dive to identify that
• Tight Schema Bound Architecture - Models, Dimensions are Static, Dynamically cannot change the facts, a measure without changing underlying ETL

Happy Understanding with Data!!!