MasterStream Blog

It’s both necessary and a major pain point for agents to connect customers to the best telecom services options at their address. Knowing whether a building is on-net or off-net helps determine the applicability of different service packages, but it isn’t always an easy task.

Comparing connectivity among a set of on-net and off-net service options can be a challenge with manual research processes that have limited data analytics capabilities. Even with the most robust database at your fingertips, the amount of legwork involved in researching can take a significant amount of time that might be better used elsewhere.

With so much variance in the data points available to represent these various service options, algorithmic research is the only way to reliably synthesize the data and accurately assess your options. This is especially true when conducting research across multiple addresses, which makes the task of on-net and off-net research even more complex and difficult to achieve without a qualitative research process powered by algorithmic software.

In this article, we expand on the many benefits of an algorithmic software to make your sales process more accurate, time-efficient, and immediate.

In the worst of times, telecom customers have been forced to find connectivity options at addresses where no telecom service has been connected in the past—meaning there’s always a small risk that their preferred service option will face an obstacle to installation.

In the best of times, customers have an abundance of choices that include telecom connectivity through existing infrastructure, as well as the ability to connect to service options by installing new infrastructure or connecting to wireless service.

These two scenarios illustrate one of the basic differences between on-net and off-net connectivity. On-net service, which refers to a carrier that owns network facilities at a specific location, is already connected at that location. By contrast, off-net connectivity refers to a solution provider that has connected to the location by purchasing use of the local network facility through a supplier relationship. As a result, off-net connectivity can involve more unknown and hard-to-identify variables that may affect not only connectivity, but also service quality at an address.

Although the worst-case scenario with off-net connection options may be scary to some customers, the good news is that strong telecom research automation can help you better understand these connectivity options before customers commit to a service option. As a result, telecom businesses can thoroughly evaluate connectivity and score service package options to avoid worst-case scenarios and give customers the type of telecom service they’re seeking at their locations.

Here are some key differences to emphasize as your customers weigh their options between on-net and off-net telecom connections.

Data stacks provide an essential service in organizing data sets to store information and support easy management and processing of this data. But the infrastructure of these data stacks can vary widely, depending on the supporting software behind them.

Outdated or limited data stacks can create limitations for what you’re able to achieve through these structures, especially when it comes to evaluating bandwidth solutions and performing other essential services as a telecom business.

If you’re working with an existing data stack that requires a lot of manual lifting and restricts your data processing capabilities, you might be able to improve your telecom customer experience by upgrading the data stacks used in your bandwidth solutions.

Here are some of the benefits that can come with swapping out your data stacks.

Serviceability in dedicated and broadband technology services is a tug-of-war between the haves and the have-nots. Although serviceability data is crucial to connecting with the right telecom service at a given location, access to this data can be both costly and inefficient—and you and your team are often forced to choose between the two.

Digital transformation in the telecom industry has set a pace that many providers struggle to match. The rise of fiber, broadband, 4G, and now 5G LTE, along with fixed wireless and copper networks, has caused enterprise data consumption to explode in recent years. The same is true for managed and cloud-based business applications.

The blurred lines between phone, cable TV, and internet consumption have further increased the demands placed on telecom services. As streaming has increased, so have the number of cloud-based services used by consumers on a daily basis.

Managing this increased data volume requires new data intelligence tools and strategies for telecom services. Here’s a look at some of the innovative solutions that will help you improve data management, and deliver improved quality of service, to your customers.