Telecommunications networks are constantly evolving to support mergers and acquisitions, new services, and new customers. Moreover, a typical CSP environment has multiple systems, databases, and inventory models with redundancy and overlaps. To effectively manage network costs, perform revenue analytics, and maximize margins, there needs to be an accurate and correlated circuit inventory repository that ties all aspects of the circuit together. This means that for a given circuit, customer, costs, revenue, and address information have to be in sync across all systems. This provides the baseline for performing cost and revenue assurance functions, maximizes network assets, and enables network optimization.
Razorsight Inventory Analytics is a cloud-based solution that harmonizes inventory data across multiple disparate sources and performs automated correlation, reconciliation, and cleansing of network inventory to ensure ongoing inventory data integrity. The web-based On-Demand solution offers service providers the ability to cleanse and correlate circuit information that is present in multiple systems such as inventory, billing, and vendor invoices to ensure that all circuits are accounted for and matched. In addition to matching circuit data using key fields, Razorsight Inventory Analytics uses the latest data cleansing and matching algorithms (e.g., fuzzy logic and grouping) to match records based on a similarity and confidence interval. This is extremely useful to match records that should be the same, but are different because of data entry errors or data migration and upgrade related errors.
Features of Inventory Analytics
Benefits of Inventory Analytics
