SPSS - Telecom's Boon!

SPSS Spreading its Magical Wings over Telecommunication Giants

SPSS is a comprehensive and flexible statistical analysis and data management solution. SPSS can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct complex statistical analyses to gain insight and drive business planning..

You will find SPSS customers in virtually every industry, including telecommunications, banking, finance, insurance, healthcare, manufacturing, retail, consumer packaged goods, higher education, government, and market research.

SPSS Statistics Base is easy to use and forms the foundation for many types of statistical analyses.

The procedures within SPSS Statistics Base will enable you to get a quick look at your data, formulate hypotheses for additional testing, and then carry out a number of statistical and analytic procedures to help clarify relationships between variables, create clusters, identify trends and make predictions.

You will find SPSS customers in virtually every industry, including telecommunications, banking, finance, insurance, healthcare, manufacturing, retail, consumer packaged goods, higher education, government, and market research.

SPSS and Telecommunication

Using predictive analytics from SPSS, telecom companies gain the insight they need to make better, faster, more effective decisions. By learning more about their customers, and those customers’ preferences and needs, telecom companies can be more successful in this highly competitive industry.

SPSS plays an important role in the telecommunication sector with respect to the various verticals-

1.       Analytical customer relationship management (CRM)

2.      Marketing and sales analysis

3.      Segmentation management

4.       Fraud detection

 SPSS help reducing the customer churn, and acquire and retain customers

Predictive analytics enables telecom companies to develop more effective customer retention strategies by identifying both their “at risk” and most valuable customers. Telecom providers can:

1.      Increase customer retention

2.      Acquire profitable customers

3.      Create more effective cross-selling and up-selling strategies

For example, by identifying the greatest number of customers likely to churn within a small percentage of the customer base, telecommunications companies can develop effective customer retention solutions and reduce costs. Companies can also identify their most profitable customers by value, as well as propensity to churn. With this knowledge, they can target the right customers with offers, such as a package that bundles DSL and long-distance services, to keep them loyal.

Develop more focused marketing and sales campaigns

Predictive analytics enables marketers in telecom companies to plan marketing programs and campaigns—and closely monitor results—using skills they already have. Marketers receive a complete, current view of their customers, and insight into customer attitudes and behaviour.

Target messages to the right customers

Understanding the similarities and differences among customers in specific geographic regions and demographic segments can make all the difference to telecom companies—especially if they serve a large and varied population. Predictive analytics can help companies more effectively customize their strategies, offerings, and campaigns by providing a clearer understanding of the common characteristics or behaviors of certain groups.

Segmenting enables a telecom company to create more precise campaigns, rather than sending general offers to the entire customer database. A company could look at customer segments to create targeted customer retention strategies for certain segments. For example, it might create a special campaign for small business customers located in suburban office parks that are likely to be lured by a competitor’s lower prices and extended local calling areas. Or, looking at geographic regions and demographic segments, the company might design a specific bundle for single women in the northern region, and another bundle for families with multiple lines in the northwest region.

Identify patterns common to fraud—to stop fraudulent activity

Addressing fraud is a challenge the telecom industry faces every day. Fraud detection and prevention can be very difficult, affect a diverse range of departments, and significantly strain resources. Predictive analytics can help telecom companies identify patterns that are common to fraud. Providers can easily detect and investigate possible cases of fraud, including unauthorized use of another subscriber’s minutes, billing fraud, and fraudulent payments. All this enables telecom companies to recoup more money and put a stop to fraudulent activity.

Understand what matters most to customers

Survey and market research software helps telecom companies gauge their customers’ opinions and analyze results. With SPSS’ solutions for market assessment and testing, telecom providers can:

1.      Predict which customers are more likely to churn over time

2.      Gauge satisfaction with regard to a particular service or rate plan

3.      Evaluate the effectiveness of customer service

4.      Understand which features and options encourage customer retention

5.      Determine the likelihood a new logo or tagline will succeed in the marketplace

References-

http://www.spss.ch/eupload/File/PDF/Telecommunications%20Industry%20Brief.pdf

Gaurav Kumar

Group 2 - Marketing