Revenue Analytics

Track revenue generated from multiple lines of business and deliver customized services to the right client to improve revenue.

Telecom companies around the world are facing stiff competition, challenging marketing conditions, stringent regulations and decline in profits. High competition and over the top services are major reason for customer churn. Customer attrition is a concern in this industry. Customers usually churn due to low quality of service and bad experience while registering the complaint. Many a times when customers do not receive a good response from the call center agents, they tend to churn. Also better services provided by other companies are good reason for customers to fly away. When a customer walks away to a new service provider it affects companies cost of acquisition as well as revenue.

Every year telecom companies face billions of dollars of losses due to customer churn. Another reason is network congestion. 45 % of mobile users churn because of network quality issue. This combined with the facility of number porting takes the loss one step ahead. All these issues have made customer experience top priority for all the telecom companies and preventing churn a top goal. Lack of timely insight and delayed response time are two main limitations for telecom companies. Usually call centers are more reactive than active and by the time they solve any issue its already too late.

Companies use past data about segments, preferences, call center interactions and usage patterns to identify subscribers who are at risk to churn or buy additional services in the long run. Subscriber churn or revenue enhancement can be defined by events such as negative network experience or variations in usage. Lack of real-time visibility into customer behavior restrict agents to act at the right time in the right way to stop customer from churning. This makes agents more reactive rather than active.

Our telecom business intelligence dashboards can help gauge customer behavior from disparate events, live customer calls and provide real-time dynamic data to prevent churn and revenue loss.

  • EzDataMunch’s comprehensive suite of telecom business intelligence solutions consists of dashboards that give end-to-end visibility into the revenue chain of the company.
  • Companies can view key metrics such as churn rate as per customer segments.
  • View average revenue per user (ARPU) growth as per customer segment, net promoter score, lead response time, marketing conversion rate and more.
  • Get real-time and quick visibility into information collected from multiple customer events.
  • Take informed decision regarding revenue enhancement and tackling customer churn.
  • Get complete insight of revenue generated from multiple services in one dashboard.
  • Compare growth in terms of average revenue per user (ARPU), customer and revenue with previous years data to track changes and identify patterns to forecast future growth.

Blogs

Hotel Data and Analytics

Hoteliers don't always consider data to be a fundamental tool in their daily operations. Hotels focus on making guests happy than crunching numbers. So why does data matter to hotels? Because at the end of the day data is just information. When we look at the right...
Read More

Denials Management In HealthCare Industry

Background of 'Denials' Claim denials are an inescapable problem for hospitals and health systems throughout the country. Revamping the claim denials process is at the top of most hospital CFOs' minds. Definition of 'Denials' The formal definition of a medical billing...
Read More

The Next Wave in BI: Search-based BI or Business Intelligence 3.0

Introduction Since the introduction of the Data Warehouse in the early 1990s, the developments in BI seem to lack any disruptive innovation. To fulfill its promise and to respond to future requirements, BI needs to become more intelligent, user friendly and flexible....
Read More

Define KPIs for Successful Business Intelligence

What is a KPI? A Key Performance Indicator is a measurable value that demonstrates how effectively a company is achieving key business objectives. Organizations use KPIs at multiple levels to evaluate their success at reaching targets. High-level KPIs - Focus on the...
Read More

How Data Analytics Can Transform Your Business

The Difference Between Big Data and Data Analytics Moto GP Bikes transmit 2GB of data every lap and 3TB during a full race. When you consider there are 20 races per season, the bikes are generating over 60 terabytes of data. While that is a huge amount of data, the...
Read More

Simple ways of creating pivot tables

Many Excel experts believe that pivot tables are the single most powerful tool in Excel. Most of us use Excel to slice and dice our data. Excel is one of those products with some very powerful tools that are easy to use. It turns out that by learning handful of these...
Read More

Benefits of Marketing Videos to increase Business Growth

Introduction: Many people may wonder about what would be the best and most effective way to show and tell the people about the certain product that they are selling or offering to everyone. Well, if you really want the best and most effective of them all, video...
Read More

R vs Python for Data Science

Introduction If you’re interested in a career in data, and you’re familiar with the set of skills you’ll need to master, you know that Python and R are two of the most popular languages for data analysis. When it comes to data analysis, both Python and R are simple...
Read More

Benefits/Advantages of QlikView, QlikSense, Tableau and Power BI

How to choose BI Tools: When we are selecting the right Business Intelligence tools for our organizations, consider our company, our employees, our departments and teams – and then success factors that drive our decision-making. What is not working currently, and what...
Read More

How to Use Simple Date Functions in QlikView and QlikSense

In the present competitive world, all organizations are showing an interest in Business Analytics by using different technologies like QlikView, QlikSense and Tableau etc. In different technologies, Year wise and Period wise analysis plays a major role for monitoring...
Read More

Events


Up Coming Webinar


Completed Webinars

Share This