LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems, has announced the completion of its latest article that lists four interesting use cases of telecom analytics and offers comprehensive insights on how analytics can help telecom service providers.
Telecom analytics encompasses sophisticated BI technologies and analytics tools that are packaged to satisfy the complex requirements of telecom service providers. It plays a major role in improving sales, reducing churn, and decreasing operational costs. Quantzig’s telecom analytics solutions extend beyond the capabilities of BI tools for dashboarding and reporting to include other analytics capabilities such as ad hoc querying, data mining, text analytics, predictive modeling, and data optimization.
Have you considered leveraging telecom analytics? If not, here’s a chance for you to gain a front-liner advantage. Request a FREE proposal now!
According to Quantzig’s analytics experts, “Our telecom analytics solutions can help you align, correlate, analyze multiple events, and interface data sources to reveal new business improvement opportunities beyond data silos.”
Telecom Analytics Use Cases
1. Improve customer experience
A detailed analysis of telecom data can help businesses to identify factors that impact customer experience. Telecom analytics helps companies to collate and analyze data obtained from call centers, CRM systems, and other sources to understand the biggest pain points of their customers.
Due to our association with telecom service providers from across the globe, we are best positioned to use our domain expertise, process knowledge, and analytics capabilities to serve your interest. Book a FREE solution demo to learn more about our capabilities.
2. Reduce truck rolls through proactive customer care
Using telecom analytic solutions, businesses can generate customized reports based on what-if scenarios and data clustering algorithms, thereby avoiding unnecessary service calls and in-person appointments which could otherwise cost them several dollars.
The telecom industry is set to witness a very high degree of dynamism in terms of changing technology, consumer expectations, and macroeconomic conditions. Survival in such a fast-paced environment is possible only by understanding the language that data across operations, customer experience, and marketing speaks. Stay ahead of the curve with advanced telecom analytics solutions. Talk to our analytics experts today!
3. Analyze the potential of new offerings
Telecom analytics solutions that leverage predictive modeling act as a key enabler of business success by helping telcos develop innovative offerings to generate new revenue streams based on customer preferences.
4. Reduce customer churn rate
Telecom analytics leverages big data and advanced analytics tools to identify factors or events that impact churn. Using such insights, businesses can deploy suitable strategies to prevent churn and improve satisfaction rates.
Telecom service providers who are just about to start their analytics journey can start with the basic steps that involve the use of descriptive, diagnostic, and advanced analytics. Starting with such an approach will enable telecom companies to gain a 360-degree view of the industry, thereby contributing to the key objective of improving business decisions.
Request more information and gain comprehensive insights on the role analytics in the telecom industry.
Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal