Data Integrity; for instance comparing different sources of data ensuring they match. The goals relate to improving the financial performance by eliminating mistakes in the processing of transaction data. This is in part caused by: 1 the cross-functional nature of the activity and the consequent need for a variety of skills from IT, marketing, finance, et al.
Choosing between applying interest on or days could mean a difference of up to 1.
Data warehousing and BI have been in the telecom vocabulary for twenty-five or more years. To be effective, revenue assurance programs must take a holistic view of the company, dynamically adapt to constant changes, and be pervasive throughout all affected systems, processes and organizations.
Many operators are failing today on the marketing side. We address RA in three main perspectives: Detection Prevention Detection RA Detection entails the monitoring of how data changes as it moves between systems or within a given systems itself. The real challenge is that revenue assurance programs at many telecom organizations today are designed to fail.
One must keep in mind that software RA solutions can only help in pointing toward the error locations or problem areas. Back Office Streamlining to Enterprise Support: The Many Flavors of Wireline Analytics — interview with Tom Nolting — Mobile analytics gets plenty of press coverage, but analytics is just as crucial for wireline operators.
The user should have a full case history mechanism associated with cases and the case details. They also often only monitor post-processing data as opposed to raw data, where much unseen leakage may originate.