Industry Leader in Telecom Data Analytics and Revenue Assurance

For the last fifty years of my telecom experience, a person’s telephone number had geographical significance that was critical to proper rating and classification of calls placed from a telephone number.

The telephone number could easily be translated to a/an:

• Exchange Name
• Exchange Carrier
• Rate Center having specific Vertical and Horizontal coordinates that identified the exact physical location within the North American Numbering Plan Area
• LATA Code
• State Code

This type of structure historically promoted distance-sensitive rating structures for individual calls that carried labels like Local, intrastate toll and interstate toll. The structure often dictated things like when you were billed for telephone usage during a month.

The FCC is currently struggling mightily to arrive at a fair and equitable solution to the need to promote uniform quality of telecommunications for both large urban centers and very small rural areas of the United States.

The FCC fully recognizes that the existing Rural Call Completion reporting requirements are not capable of providing a reliable measurement of the “of how answer and call completion rates differed for various small non-rural carriers compared to the overall rate provided to larger non-rural carriers in total. “

In most companies, fraud is identified only after it occurs. Measures are then implemented to prevent it from happening again.  Ideally, businesses want to find ways to prevent fraud from taking place, or, if that’s not possible, to detect it before significant damage is done. In the event that they are unable to prevent it in a timely fashion, however, fraud detection is the best bet for eradicating it from the environment and preventing a recurrence.

Big data is big news in almost every industry, and telecom is no exception. The report “Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 – 2019” from Mind Commerce forecasts a 50% growth by 2019 in the big-data-driven telco analytics environment, which will deliver annual revenue of $5.4 billion. Apart from opening up a multitude of jobs for telecom data scientists, data will increasingly become a competitive differentiator for telcos.  

The proposed USF Contribution Factor for 4th Quarter 2017 is 18.8%.

The FCC recently announced that the proposed Federal Universal Service Fund ("USF") contribution factor for the 4Q of 2017 will be 18.8%. This is a significant increase from the 3Q rate of 17.1% and the highest contribution factor in the history of the USF.  

What Should You do?

Over the last two years, the FCC has been in the process of determining whether it still makes sense to have telecom service providers collect and report on call answer and completion rates on long distance domestic calls that were handed-off to Interexchange Carriers who provided routing, transport and completion functions for the calls made to customers of a NECA-provided list of small ILECs as well as to the much larger non-rural local exchange service providers in aggregate.

Remember the days when investigating a customer query meant your employees needed to carry out a checklist of manual steps? We do. And in spite of the digitization of the telecom environment, many providers still retain some of these steps as part of their process. It’s not unheard of for an employee to spend between 15 and 20 minutes investigating a single issue, such as whether a client's usage records are accurate or not. When doing so requires accessing one system, gathering the information, and then using it to access another system (or more), it can be a lengthy process. The solution is to automate as many tasks in your workflow as possible, and stitch all of the information together with a workflow manager.

The telecoms industry in the U.S. is expected to continue growing in 2017, according to Deloitte’s latest outlook report. Furthermore, we anticipate providers will work hard to remain competitive in the battle to attract customers and create new revenue streams. With data generated from every customer touch point ranging from calls to text messages, video downloads, mobile commerce and service calls, telcos have access to significant amounts of information. Implementing big data analytics (BDA) is critical to enable them to make use of this intelligence to get ahead.

Wikipedia defines Robocalls as follows:

A “robocall” is a phone call that uses a computerized autodialer to deliver a pre-recorded message, as if from a robot.

Robocalls are often associated with political and telemarketing phone campaigns, but can also be used for public-service or emergency announcements. Some robocalls use personalized audio messages to simulate an actual personal phone call.

This is the good news.

Unfortunately, robocalls are all too often blatantly geared to relentless selling of a product or service that is not wanted by the person receiving such calls.

At ATS, we work at the intersection of Telecom and IT and, in order to focus our efforts on what we’re really good at, we outsource our IT wherever possible.  So, naturally, we’ve turned to a few of the big cloud providers for help here.  If you’re using our services, you’re also using AWS’ and Google Cloud Platform -- they’re both too big and impressive for any mid-size software company like us to ignore, and we firmly believe our customers are better served when we focus on what we're really good at, which is developing software.   But, when you dig a little deeper, you realize that some of the cloud providers' tech offerings tell a tale of how they got big and impressive in the first place.  What can the Telco industry learn from the rise of these Retail and Search giants, given what they've exposed as cloud services?