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Outdated or limited data stacks can create limitations for what you’re able to achieve through these structures, especially when it comes to evaluating bandwidth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.
With a better data stack infrastructure in place, data is easy to manage—especially as data sets scale. Unstructured or poorly structured data will only become more difficult to manage, sort, and utilize as the volume increases, which creates a paradox for your business: Data quantity increases, but the quality of data-driven insights goes down.
Powerful, scalable data stacks address this pain point, giving your business the structure it needs to manage large volumes of data that support data analysis and data-driven decision-making. Through better back-end infrastructure, you’re able to deliver a better customer experience.
Automated data processing can be a boon for your telecom business, improving the speed and accuracy of data analysis that powers your service recommendations, your pricing, and other aspects of your customer experience.
In order to enable this automation, your data stacks need to offer a suitable structure for automation solutions to access, categorize, and utilize data related to bandwidth availability, serviceability, and other key considerations. These stacks must also integrate easily with any software solutions you’re connecting them to, including automation tools. The older your data stacks may be, the more likely you are to run into issues around integration.
For telecom businesses, the key to offering more accurate availability research and improved service recommendations hinges on the ability to account for a wide range of variables and data points in any given request.
The complexity of these calculations can be intricate and difficult, if not impossible, to achieve manually. At the same time, these calculations are only growing more complex, with new telecom technologies being built in local markets all across the country, creating new variables and data points to consider in bandwidth research.
The combination of powerful automation tools, along with structured data housed in data stacks, can make it possible to manage this complexity for your business and turn these powerful calculations into a selling point of your customer experience.
Ultimately, better data management leads to more accurate telecom research, which helps telecom businesses connect customers to the right bandwidth providers and/or combinations of service packages that meet the customers’ needs at a single address, or even a group of addresses.
Advanced bandwidth solutions can also use complex calculations to recommend different combinations of data to use in identifying the best service solution. These recommendations are only possible when data is easily structured in a data stack for clean retrieval and categorization.
When it comes to building a better approach to bandwidth research, telecom businesses need to start from the bottom up. With better data stacks supporting your research efforts, your business will have a strong foundation to start providing better, faster, more powerful service to your customers.
Find out how BandwidthFinder can improve your telecom sales process—contact us today to learn more.