Optimisation of telecommunication costs through data analysis
Telecommunications services – telephony, internet, mobile connections, Non-Geographic Numbers, SMS campaigns, virtual exchanges – often form a significant part of an organisation’s budget. At the same time, few companies take a full advantage of the data potential that these services generate, to optimise their costs. Telecom data analysis can become a strategic catalyst to drive lower bills, better service and higher efficiency.
1. Why is data analysis important?
Every call, every SMS sent, every minute spent on the Internet generates data: time of making, duration, destination, tariff. When that data is collected and analysed, patterns and patterns are revealed to the business that would otherwise remain invisible. Therefore, it is easy to find out where money is “leaking”, which services are not fully utilised and where there is room for costs negotiations with the provider.
2. Identify peak periods
Time series analysis can show which times of the day (days) of the week is the traffic calls peak. For example, if you find that your call center is particularly busy on Monday mornings or during holiday campaigns, more profitable plans can be negotiated, optimising costs during these periods. That avoids situations where you pay for excess capacity most of the time.
3. Detection of unused and duplicate services
If the company has leased several lines, or services from different providers, it is possible that some of them are under-utilised, or even not used at all. Data analysis shows the actual traffic to each number, department or device. Therefore, redundant services can be eliminated, thus consolidating your telecommunications spend with the current provider and request better terms.
4. Optimal selection of tariff plans
Different clients and teams have different needs. Some departments may carry out a lot of long international calls, while others call primarily locally. Data analysis helps choosing the most effective tariff plans for each segment of the business. Therefore, your company pays only for exact usage, thus reducing overall costs.
5. Integration of statistics with other business systems
When telecommunications data is combined with information from CRM, ERP or project management tools, deeper inter-dependencies can be discovered. For example, you might want to find out if spikes in volumes of telephone traffic coincide with marketing campaigns or new product launches. Thus, you optimise not only costs, but also strategic decisions – adjust marketing strategies, train staff for more efficient service, or outline and prioritise new investment opportunities.
6. Negotiate with suppliers based on facts
Instead of having abstract negotiations with the operator, companies should rely on accurate usage data. If statistics on the number and duration of calls are presented, as well as traffic volume and typical consumption habits, the provider will have a reasonable incentive to offer an optimised plan. That reduces negotiation time and increases the chances of getting better terms.
7. A continuous process, not a one-time action
Technology evolves, the market changes and customer preferences evolve. Telecom data analysis should not be a one-time activity, but an ongoing process. Regular reviews help discover new optimisation opportunities, react to changes in real time and maintain competitive advantage.
Conclusion
Optimising telecommunications costs is no longer limited to blindly asking for cheaper tariffs. By analysing the data, enterprises obtain a clear view of where and how resources are being spent. That informed approach enables more precise decisions to be made, the right strategies to be formulated and implemented, as well as increase both customers’ and employees’ efficiency and satisfaction.