Business Intelligence, The Key To Company Success

Business Intelligence (BI) is the ability to transform data into information and information into knowledge, so as to optimize the business decision-making process. 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

Calculations, sometimes between quite diversely held data elements, allow you to create specific ‘key performance indicators’ (KPIs) such as Profit per Customer and Revenue per Employee. This has emerged from the contributions of the various areas of information such as market intelligence, competitive intelligence and business intelligence.business intelligence

4. Describe what a data warehouse is and how it might differ from a traditional database used for transaction processing. A data warehouse focuses on storage, filtering, retrieval and analysis of … Read More...

business intelligence

Business Intelligence

Business Intelligence (BI) is the ability to transform data into information and information into knowledge, so as to optimize the business decision-making process. Calculations, sometimes between quite diversely held data elements, allow you to create specific ‘key performance indicators’ (KPIs) such as Profit per Customer and Revenue per Employee. This has emerged from the contributions of the various areas of information such as market intelligence, competitive intelligence and business intelligence.

Using the techniques to extract, transform and load (ETL), data extracts from different sources, are purified and prepared for a load them into a data repository. A retention campaign can be targeted (to this group of customers having high Handset churn score) with new service offer bundled with handset.

Moreover, SAS with its telecommunication specific solution (TIS – Telecom Intelligence Solution) assists in building the data warehouse to hold the required parameters for further analysis. 10. A closed-loop process is … Read More...

business intelligence

A Guide To The Latest Business Analytics Trends In 2018

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.business intelligence

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.business intelligence

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 … Read More...

business intelligence

What Is Business Intelligence?

Business Intelligence (BI) is the ability to transform data into information and information into knowledge, so as to optimize the business decision-making process. Thus, personalized analytics is going to be the most significant business intelligence trend that the industry will notice. A Datamart is a departmental database, especially in storing the data that is specific to the business area. The aim of this stage is to warn the users about various crucial events like poor performance by staff, takeovers, changing trends in market, sales fluctuations and much more.business intelligence

The telecom companies can increase profitability by creating a predictive modeling for identifying potential churn candidates and non-revenue earning customers; and can increase revenue and profitability by targeted campaigning and promotional offers which will not only retain these customers but also convert the non-revenue earning customers to profitable revenue earning customers.

The major challenge in implementing a business analytics solution is obtaining … Read More...

business intelligence