"Business in "high-tech" domains is especially recognized for its "marketing uncertainty" and "competitive volatility". To overcome these problems, firms should use solutions that switch attention from the "operational information" to "strategic information" type, the outcome of predictive analytics solutions based on data mining technologies and algorithms. Predictive analytics based tools (including social analytics) are soon-to-be a "must have" asset and moreover integrated in a Decision Management System, the key to an optimized business decision. The current paper includes the presentation of predictive analytics tools spectrum, their main features/ add-ons including "R" environment integration, Predictive Model Markup Language Input / Output capabilities or their modular architecture platform independent and data processing capabilities (such as shared nothing parallel processing). The paper highlights the benefit of integrating a Social Analytics solution based on predictive modeling applied in the high-tech Telecom domain. While open-source tools are mainly dedicated to professionals requesting data mining process knowledge (exemplified in a benchmarking test containing data from a Telecom prepaid Mobile Virtual Network Operator (MVNO)), the NSN-Comptel Social Analytics solution is addressed to business users, emphasizing the social networking role in mobile subscribers' churn decision or in their adoption of new products / services. Additionally, the paper encompasses a business opportunity assessment based on NSN-Comptel Social Analytics solution (embedded on NSN's Customer Experience Management on Demand portal solution deployed on public Cloud as Software as a Service) for a MVNO prepaid provider. Regarding future prospects I listed three important topics for predictive / social analytics: - On-The-Fly computing concept having similarities with XaaS (anything as a Service) used in Marketplace portal creation for Telco, Enterprise, Machine-To-Machine Apps; - Wire-line / fixed operator data mining to prepare customer oriented B2C applications; - Photo and video data mining, with huge applicability even in governmental institutions"