A Midwest Health Care Products Company with over 11,000 corporate-liable cellular devices and a monthly expense of $1.1M selected MobilSense to perform a one-time, 90-day optimization. During this time, MobilSense demonstrated their expertise by bringing their monthly cellular expense down to $850K along with reducing their device count from 11,000 devices to under 9,000.
From there, the project grew from a 90-day engagement to ongoing. Within a year’s time, the company’s monthly expense was cut by almost 50% from $1.1M down to $607K, for an annualized savings of $6.7M!
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Being able to inspect and report data usage in real-time can significantly reduce how much data your employees are using. When one CIO became concerned about the rising cost of her company’s data use, she found real-time alerts not only significantly reduced mobile data usage, but a byproduct she wasn’t expecting was productivity increased overall.
As this company learned, all it took to significantly reduce mobile expense cost was to identify policy thresholds and send alerts when data usage reached these thresholds. No company today should be paying for the out-of-control data usage habits of its employees especially when education and alerts can be this effective. With the help of MobilSentry™ Real-time, now you don’t have to.
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One of the biggest costs associated with unmanaged data pooling is overages but just as damaging is unused data. Most companies don’t realize data pools can be adjusted throughout the bill cycle. To truly avoid overages and minimize the financial impact of paying for unused data, companies need access to carrier data in real-time. Simply put, companies who don’t have access to mobile data pools in real-time are overpaying. MobilSentry™ Real-Time is what companies need; a solution that provides real-time, month-to-date usage to fine tune mobile data pool levels.
No longer do companies have to rely on incomplete and inaccurate carrier reporting tools. With up-to-the-minute data quantities in real-time, pools can be matched exactly to month-end usage levels and completely avoid the cost consequences of guessing.
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