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Author: Admin | 2025-04-28
--> The world of telecommunications has a lot of data to work with. Service usage, network performance, customer data – we’re talking about terabytes if not petabytes of data generated every single day. So eventually, every telco faces a challenge: how to make sense of all this data? Thankfully, there’s an answer and that is data mining.In fact, data mining isn't just for telecom. It has become a popular practice across industries, delivering impressive results. A staggering 90% of companies engaged in mining big data are reaping significant rewards. Experts believe that data collection, analysis, and interpretation have the potential to revolutionize all kinds of businesses. At Flyaps, we've been partnering with telcos around the globe for ten years. During this time, we've noticed a rising trend in data analytics solutions. We've even developed numerous platforms ourselves to support data analytics for our clients. These solutions helped them transform their businesses and gain valuable insights into customer behavior, enhance network performance, and make intelligent decisions using data.In this article, we want to share our piece of knowledge about data mining in the telecom industry. We'll also explore how adopting data mining can benefit your business and empower you with valuable information, so keep reading to learn more.Three main types of data in telecom and why mining themLet’s start with data types. In the field of telecommunications, there are three main types of B2B and B2C data that are considered the most crucial ones. They are call-detail data, network data, and customer data. Let's explore each of them and understand why mining these types of data is essential. Types of data in telecomCall-detail dataTelcos have a lot of information about the phone calls their customers make. This data includes things like the numbers people call and receive calls from, how long the calls lasted, when the calls were made, and sometimes even where the calls took place.By looking closely at all this call information, a telco can learn some interesting things. For example, they can find out which places their customers call the most. Maybe some clients have customers or partners in specific cities or countries. This information in the data mining process helps to understand the calling patterns and preferences of users of telecom services.Telcos can also figure out the busiest times for calls. For instance, using data mining businesses can learn that most of their customers make a lot of calls in the morning when they're scheduling meetings or discussing important matters. By knowing the busiest times, telcos can ensure that their phone lines are well-equipped to handle the increased call volume, preventing any delays or call quality issues.And here's the most exciting part: telcos can use all this information in the data mining process to improve customers loyalty. For example, with data mining, telcos can learn that many of their clients call a specific country a lot, and offer calling plans that fit their customers' preferences and let them save costs. Personalized offers make users understand that the
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