Big Data technologies, cloud services and price drops in storage disks have made it possible to store huge datasets. Now companies can keep hundreds of terabytes and even petabytes of data forever. But what is the benefit of keeping all this data, especially for Telecom Operators Is there a real ROI for all the trouble Below mentioned are the three main reasons why Telcos should make the most of this gold mine.
Understand the Past, Be More Efficient
It is a no brainer that keeping historical data enables companies to understand the past. For Telecom Operators, this means to be able to faster diagnose outages and therefore help a call center be more efficient.
The Time-to-Resolution or TTR is one of the key metrics call centers follow closely and TTR is directly related to customer satisfaction. The faster the time to resolution of a call, the more satisfied the client. Keeping historical data of all customers can therefore clearly help with better TTR indicators. By accessing historical data on a client, customer service operators can see when problems have occurred in the past: dropped connections, macro blocs, memory leak, Wi-Fi configuration issues, interferences and others. Most of the time, a client who experiences intermittent internet connection drops has no problem when he calls the call center. In which case, the call center operator will have difficulties understanding the issue. The client is frustrated and the TTR is long. With historical data, the problem would have been easily identified. The historical data helps to qualify the level of incident the client is experiencing and decrease TTR.
Understand the Evolution Patterns
In understanding evolution patterns, moving average variations and peak data changes are essential. Historical data enables the tracking of improvement over time which gives key insights. These insights are essential for driving a business.
Marketers are always on the run to better understand and segment the customers. Keeping historical data can help marketers understand if their customer segment is changing. Thus help them adapting to their customers with new offers. For example, having a concrete understanding of historical and present VoD usage and the variation, Telecom Operators can increase the resources for each OTT service so that the quality experience remains enjoyable.
Enable Big Data Forecasting
The big data technology makes it possible to analyse past data to forecast future events. But to do so, the forecasting algorithms rely on large historical data sets. Thus storing historical data is a prerequisite.
Based on billions of calculations and data points over the past events, big data now makes it possible to forecast and predict events. Knowing the weather for the next days or predicting the consumer behaviour becomes easy.
For example, for Telecom Operators this means taking advantage of this technology to be proactive in problem resolution. Predicting if in the future a customer's television broadcast will fail based on macro block variation calculations.
These three key points are the main reason why Ezako is campaigning for Telecom Operators to start keeping their historical data as soon as possible, in order to be able to provide higher quality service and appropriate offers to their clients, now and in the future.