Network Capacity Planning and Utilization
Network planners require accurate information about the network utilization and the ability to link network information to the associated revenue and profit contribution of network elements. For example, a number of network elements may require upgrading. It is advantageous to prioritize the upgrades based on their potential impact on profit. The ability to analyze Call Detail Records based on network element criteria makes this possible.

In order to succeed and be able to address questions arising out of any of the fore said issues, the operator needs to plunge into his operational databases and come up with information that will assist management in their decision support activity.

Why are existing IT Systems inadequate?
In the past, companies worldwide invested in proprietary systems and made significant investments to develop applications to support the business. However, these systems often failed to deliver quality information to the business because in most cases data warehousing efforts utilized rehashed on-line transaction processing (OLTP) techniques resulting in data that was outdated, of poor quality, and not entirely relevant. From a business standpoint, it is impossible to build an accurate, comprehensive profile of the customer that often leads to incorrect actions being taken.
This is where DSS and Data Warehousing become an important technology. Unlike simple Executive Information Systems (EIS), which only use pre-structured reports and pre-defined questions, DSS alerts your people to changing trends, opportunities and problems and allows them to ask questions on an ad hoc basis.

Which departments does a Data Warehouse help?

Marketing

• -- Call usage analysis by dimensions like customer demographics, customer segments, locations, time, etc
• -- Advertising and promotion analysis Market segmentation to enable differential tariffs
• -- Analysis of competition

Customer acquisition

• -- Identification of target prospects
• -- Inputs to campaigns, promotions, new customer schemes
• -- Analysis of connections, disconnections and reconnections
• -- Customer care and retention
• -- Complaints, churn and fraud analysis

Revenue enhancement

• -- Revenue analysis
• -- Scheme-wise profitability analysis
• -- Product sales analysis

Network utilization

• -- Analysis of patterns of out-going, in-coming calls
• -- Analysis of network traffic
• -- Cell-wise activity by day, time
• -- Congestion factor analysis.

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