888.870.4250 
Request a demo
Paying for Weekend Diversions
Much like a magician’s sleight of hand, ‘free and unlimited’ voice minutes and text messages have caused many companies to take their eye off the coin long enough to miss a steady growth in wireless data costs. Combine this with a misplaced confidence companies have in their carriers’ desire to keep costs down, and it creates a perfect storm for over spending on wireless.
Carriers Maximizing Bandwidth Usage
Carriers are motivated to encourage off-peak usage because it presents a great opportunity to leverage an infrastructure investment sunk cost to meet peak usage demands. When voice was the primary cost measure, we became comfortable with the notion off-peak voice usage was free. While nothing is ever truly free, it appeared to be so because there was no punitive cost impact for excessive off-peak usage. We shouldn’t fault carriers for attempting to maximize their infrastructure investments, but carriers are now benefiting from the carry-over effect of users who were conditioned to getting a free ride during off peak times. However, when it comes to data usage, it is an entirely different story.
Impacts of Transitioning to Data Pooling
Now that all consumption is measured as data, there is no off-peak data usage break and as such companies find themselves woefully inept at monitoring off-peak usage leaving them blind to rapid off-peak data growth. Further compounding the issue, data usage is getting a huge assist from an army of application developers who provide an unending supply of ‘data usage traps’ for consumers. Many of these apps are oriented to off-business hour entertainment and distraction. Simply put, measured data has become a lucrative revenue source for the carriers.
Subsidized Business-Liable Off Peak Entertainment
In a recently concluded study, MobilSense analyzed over 2.5 petabytes of data from business-liable smartphones, tablets and data cards over a period of 15 months representing over 200 million transactions. Would it surprise you to learn that 44.99%
of all data traffic in this study occurs during night and weekend hours? This is the same period of time when voice used to be free. That means that only 55% of average employee data usage occurs during business hours and even then, some of that time may not be concentrated on legitimate business usage. For some companies, it is not uncommon for off-peak data usage to actually exceed peak data usage. In other words, the type of data-intensive application usage, such as streaming video is an activity more associated with an employee’s downtime than productive work-related activities.
Why It Matters
Too often companies accept the steady increase of wireless invoices as just a ‘cost of doing business’. With increasing field force automation, even if the wireless cost is rapidly rising it is frequently justified by other offsetting efficiencies. The truth is data costs shouldn’t grow if they are effectively monitored and managed. Since data charges are now the predominant component of any wireless invoice, it suggests that the average company may be spending 45% more on mobility than is warranted.
What Can You Do?
The continuously increasing trend to use more data is not going to subside. Companies need to rise to the challenge and manage this fundamental cost component of their corporate provided mobile devices. The only way to effectively to do this is to identify the behaviors causing the waste, develop clear, internal policies and deploy technology to measure the compliance against these new corporate standards. Click below for a free whitepaper containing suggestions on how to deal with this growing cost problem.
Don’t let runaway off peak usage lurk undetected beneath the rising tide of wireless data expense growth. We have a unique capability that no one else has to perform a rapid and comprehensive assessment at no cost on your data usage patterns. If you are interested to learn just how big of an off-peak data usage problem you have, click below for a free, no-obligation off-peak data analysis.
