Highly targeted data analytics play ever-more-critical role

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Highly targeted data analytics play an ever-more-critical role in helping carriers secure or improve their standing in an increasingly competitive marketplace. Here’s how some of the world’s leading providers are creating a strong future based on solid business and customer intelligence.

Customer Retention

It’s no secret that the speed and success with which a provider handles service requests directly affects customer satisfaction and, in turn, the propensity to churn. But getting down to which factors have the greatest impact is a challenge. “If we could trace the steps involved with each process, we could understand points of fail- ure and acceleration,” notes Roxanne Garcia, Manager of the Commercial Operations Center for Telefo?nica de Argentina. “We could measure work- flows both within and across functions, anticipate rather than react to performance indicators, and improve the overall satisfaction with onboarding new customers.” The company’s solution was its traceability project, which began with 10 dashboards in 2009. It has since realized $2.4 million in annualized revenues and cost savings, shortened customer provisioning times, and reduced customer defections by 30%.

Cost Reduction Staying ahead of the game in any industry depends, in large part, on keeping costs in line. For France’s Bouygues Telecom, cost reduction came in the form of automation. Aladin, the company’s Teradata-based marketing operations management system, auto- mates marketing/communications collateral produc- tion. It delivered more than $1 million in savings in a single year while tripling their e-mail campaign and content production. “The goal is to be more productive and responsive, to simplify teamwork, [and] to stand- ardize and protect our expertise,” notes Catherine Corrado, the company’s Project Lead and Retail Communications Manager. “[Aladin lets] team mem- bers focus on value-added work by reducing low- value tasks. The end result is more quality and more creative [output].” An unintended but very welcome benefit of Aladin is that other departments have been inspired to begin deploying similar projects for everything from call center support to product/offer launch processes.

Customer Acquisition

With market penetration near or above 100% in many countries, thanks to consumers who own multiple devices, the issue of new customer acqui- sition is no small challenge. Pakistan’s largest car- rier, Mobilink, also faces the difficulty of operating in a market where 98% of users have a prepaid plan that requires regular purchases of additional minutes. “Topping up, in particular, keeps the revenues strong and is critical to our company’s growth,” says Umer Afzal, Senior Manager, BI. “Previously we lacked the ability to enhance this aspect of incremen- tal growth. Our sales information model gave us that ability because it helped the distribution team plan sales tactics based on smarter data-driven strategies that keep our suppliers [of SIM cards, scratch cards, and electronic top-up capability] fully stocked.” As a result, Mobilink has not only grown sub- scriber recharges by 2% but also expanded new cus- tomer acquisition by 4% and improved the profit- ability of those sales by 4%.

Rise to the Challenge

Although each market presents its own unique chal- lenges, most mobile carriers spend a great deal of time and resources creating, deploying, and refin- ing plans to address each of the challenges outlined here. The good news is that just as the industry and mobile technology have expanded and improved over the years, so also have the data analytics solu- tions that have been created to meet these chal- lenges head on. Sound data analysis uses existing customer, business, and market intelligence to predict and influence future behaviors and outcomes. The end result is a smarter, more agile, and more successful approach to gaining market share and improving profitability

Questions for Discussion

1. What are the main challenges for TELCOs?

2. How can data warehousing and data analytics help TELCOs in overcoming their challenges?

3. Why do you think TELCOs are well suited to take full advantage of data analytics?

Reference no: EM132179625

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