Globys said it has launched Globys SplitView, an online application that allows businesses to separate their employees’ business calls from personal calls and invoice them accordingly. The tool could help wireless operators increase revenues because businesses would be more willing to let employees use business phones if they could separate and invoice personal calls.
“Through user-defined cost rules assigned at the organization, department, or individual level and based on any combination of time, location, usage type, and phone numbers, Globys SplitView enables employers to easily, and accurately, manage the usage of all of their employees. For example, with just a few clicks, a telecom manager can define the cost rules for the account management team. The manager may define personal charges as any data charges in excess of $20 per month, contact to anyone outside of client and corporate directories, and any weekend use. The solution’s automated technology then applies the cost rules each month and invoices are divided and distributed according to corporate and personal liabilities,” according to the company.
Globys SplitView features advanced capabilities in reporting, cost allocation and communications, integrating e-mail and SMS message systems as well as in-app communications to alert users of actions.
Globys launches split-billing solution to separate business, personal phone use
ABOUT AUTHOR
Jump to Article
What infra upgrades are needed to handle AI energy spikes?
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants