While cost containment is likely at the core of every mobility management strategy, it’s the points of emphasis that define it. Where one company may consider a wireless device a perk with few restrictions, another company may extend service to the family members of its employees. Others may only assign devices to its critical employees heavily laden with limitations of use. MobilSense has outlined 10 dimensions describing the range of positions that might characterize a company’s culture and identity as it relates to mobility management. Click here to learn more.
Tag Archives: wireless expense managment
Optimizing Invoices in Today’s Data-Centric Wireless World
The concept of shifting away from voice-metered plans to data-metering first emerged in 2013. In the years since, most businesses have migrated to data pooling primarily because the carriers offer unlimited voice and messaging incentives for data-centric plans. Two general pooling plan types are offered today in the industry. Carriers like AT&T and Verizon offer you a choice of both pooling models while other carriers tend to focus on one variation or the other. To understand the economics of these two pooling models and make the best decisions for your company situation, it is important to appreciate the pros and cons of each model and know how to effectively project your data quantity needs in the pooling model you select.
Understanding Pooling Types
The pooling models fall into what we call ‘Group Share’ and ‘Data Plus’ packages. Both offer unlimited voice and messaging with their unit of measure based on the number of gigabytes consumed. In the Group Share category, data is purchased in bulk quantities (10s to 100s of GB) with limits placed on the permitted number of devices within a group/pool. The Data Plus type plans either allow an unlimited number of devices or usage boundaries are sufficiently elevated to remove most practical limitations. Similar to how classic voice pools use to operate, Data Plus makes a small contribution (1 – 10 GB) toward the aggregate pool total from each device. To get to the total amount needed in a pool, you need to ensure the sum of all parts will achieve your predetermined goal.
MobilSentry™, a mobile expense management solution, can provide a platform for rate plan optimization and includes disciplines for determining which strategy is best for you. Click here to download our white paper, Optimizing Invoices in Today’s Data-Centric Wireless World.
Time-Tested Wireless Optimization Techniques
As technology evolves, so do the ways in which it is managed. When we first launched our mobile expense management solution in 2001, our focus was simple: to help companies reduce their wireless expense spend through invoice optimization. It alone can reduce wireless expense anywhere from 5-30%. That was 16 years ago and nothing presents more opportunity for wireless cost savings than now! Prompted by the carrier’s transition to data centric rate plans and with the rapid growth in data usage fueled by an explosion of data hungry smartphones apps, the savings starts by making the right pooling choices.
When it comes to wireless invoices, cost saving opportunities come in many flavors but the first and most obvious place is to strike a balance each month between minimizing overage charges while not over paying for too much data that goes unused. Doing this at a minimum cost also requires an understanding that carriers offer different pooling models. There is one that offers the lowest cost based on your company’s device count and average GBs used per device.
From this starting point, there is always savings when it comes to identifying zero-use devices needlessly running up charges, along with unneeded feature charges, and periodic billing errors that often go unnoticed.
We can all agree that the carriers’ goal is to provide excellent customer service but it’s not their job to keep your costs at a minimum. If you are interested in learning how to save your company money on its mobility cost, click here to get the ‘Ultimate Guide to Invoice Optimization.