Broadband Subscriber Data Integration with ETL to SaaS

Abstract

In the Broadband Service Provider (BSP) industry, billing data can originate from various sources like customer subscriptions, payment platforms and network telemetry. The data is often imported using Comma Separated Values (CSV) file uploads from billing systems. To get the best outcome of the Software as a Service (SaaS) platform the data must be cleaned up and standardized prior to feeding to the product. The smallest error rate in billing data can lead to revenue leakage for a business. Poor data hygiene is a leading cause of billing system projects failing to meet their targets. BSPs cannot afford to have data management as a reactive measure anymore. Ensuring data quality before feeding into critical products is imperative for a successful business, however, the scope of such efforts is not always simple. Using automation for cleaning and restructuring of data with Extract, Transform and Load (ETL) tools ensures an effective and reliable methodology of data accuracy. Product adoption is as much reliant on operations and training, as it is on high accuracy in billing and network data. In modern broadband services, having healthy data is key to a strong foothold in the BSP market.