Hype or the Real Deal? The Big Data Conundrum

Big Data has become one of those terms you can’t avoid these days, all the rage in and around the business intelligence industry. The overwhelming buzz makes you wonder – is there something really there, or, is the hype the result of vendors and consultants trying to make another buck? You can download PDF version…

SNA’s Failures Revealed – Getting it Right With Social Ripple Analysis

If you are using one of the market leader Social Network Analysis (SNA) tools, it is very likely that you are not seeing the forest for the trees. While SNA is an effective tool for identifying subscribers who are social leaders and followers, using it for churn prediction and propensity modeling can be dead wrong.…

Real-Time Customer Value Management – Sales and Churn Triggers

Traditional monthly churn prediction or sales potential models help companies identify only some of the opportunities they can take action on to grow and retain their customer base; real-time sales and churn triggers help identify the rest… You can download PDF version of this whitepaper here. What? Customer value management-related data mining models have been…

Moving Beyond One-to-One Marketing – Getting Personal with Enterprise Customers

For years, telecom operators have been adapting the “one-to-one” customer treatment concept and applying it to their enterprise customers, essentially seeking to treat each enterprise client differently. Though this treatment method is effective with consumers, it’s not the right way to manage an enterprise client – it’s time for operators to treat the same customer…

Customer Analytics Gone Wrong – Ten Common Mistakes To Avoid When Designing Customer Analytics Models

The potential that customer analytics models hold within them are extensive for the companies that choose to utilize them to better their marketing and sales activities. But even best-in-class companies get it wrong sometimes by making mistakes in how they design their models, and in how they utilize them once they have been designed. Herein…

Campaign Sensitivity Analysis – Preventing Competitors From Stealing Your Customers

A simple yet effective manner in which to use analytics to prevent competitors from poaching customers in the telecommunications sector, campaign sensitivity analysis is sure to become a common practice in the field of business intelligence / data mining over the coming years…  You can download PDF version of this whitepaper here. The number of…

‘Context Mining’ To Go Beyond Customer Needs in Telecommunications

As telecom product and service offerings are increasingly becoming commoditized, telecom companies need to offer their subscriber bases more than just communications solutions. This homogenization of offerings necessitates telecoms to differentiate themselves, which can be done through understanding the lifestyles of their subscribers and adapting offerings to cater to these lifestyles – which brings us…