Business Intelligence (also known as BI) is big business. A data warehouse is a central repository for corporate data and information that an organization derives transaction data, operational systems and external data sources. A traditional database is based on operational processing while a data warehouse is based on informational processing.
The data model generates individual customer’s churn score which ranges from 0 to 1. 5. Data Modeling: In this stage, the analytical data models are created by statistical methods (eg: Logistic regression method) on historical data for churn score prediction and Analytical Base tables are populated by data.
A data mart is a subset of a data warehouse that relates to specific business line. There are several challenges when a business intelligence solution is implemented in a huge scale of millions of customers. 9. A BSC (balanced scorecard) approach for BPM (business process management) is well-know and widely-used.
The users compile the data by keenly observing the market forces or Govt. For example: if analysis reveals that many customers have churned from a particular area last month and further investigation has identified that there are frequent call drops (disruptions in service) in that exchange (or BTS area).
Business intelligence acts as a strategic factor for a business to build competitive advantage, by providing privileged information to respond to business problems: entering new markets, product promotions or offers, eliminating islands of information, control finances, cost optimization, production planning, customer profiling analysis, profitability of a particular product.