Analytics Added | April 9th, 2013 | Share Analytics
Analytics Updated | Wed, Jun 12, 2013 at 14:17
Download Angoss’ Text Analytics Beginner’s Guide: Extracting Meaning from Unstructured Text text analytics ebook. Register in Angoss’ Customer Analytics Roadmap Video Series about big data and cloud analytics. Cloud computing with Angoss Software’s KnowledgeCLOUD™ cloud-computing datamining solution allows advanced, social network and predictive analytics. Angoss’ predictive analytics software and Cloud solutions are used by over 500 global organizations. Facebook data, Tweets, blog posts, and comments (or other text data) can be analyzed with advanced decision trees and strategy trees in Angoss KnowledgeSTUDIO™ (you may take a video tour of KnowledgeSTUDIO™). Read Angoss Software’s Five Stages of Analytical Competition. Learn about Angoss’ Cloud Computing Analytics and Data Encryption technology.
Angoss Cloud Predictive Analytics
Angoss’ solutions deliver predictive analytics in the Cloud to help sales and marketing organizations harness the power of CRM and social media or text data to improve sales and marketing performance. Angoss’ analytics platform together with rapid deployment processes and client engagement services are used to deliver cloud solutions in a hosted environment. The analytical engine at its core can consolidate, analyze and report on any source of customer data — whether point-of-sale (POS), CRM, transactional or social media sentiment data.
Angoss Text Analytics
Social media comments might be categorized according to themes that are used in models as predictive variables of marketing metrics such as customer churn, marketing campaign response and customer lifetime value. Decision tree profiling algorithms might identify differences between positive and negative leaning customers and prospects based on age, income, loyalty or purchase frequency. A market basket analysis of Twitter Tweets could reveal the need for a product or brand repositioning. Cluster analysis can be used to find actionable segments of customers in social media data based on customer profile variables, likes, and dislikes.
Angoss Social Network Analytics
Angoss KnowledgeHUB employs the proven data analysis capabilities of Angoss KnowledgeSTUDIO™ and StrategyBUILDER. These include market-leading data mining and predictive analytics capabilities including data profiling, advanced data visualization, decision tree and strategy design. It includes customer profiling and data exploration modules with inductive decision tree (IDT) algorithms and data visualization tools. Using Strategy Trees, a hierarchical tree of modeled segments based on demographics, social media sentiment or campaign response may be evaluated based on profit, customer lifetime value or other key performance measures. Important predictive relationships among independent variables and customer metrics may also be discovered. You can learn more about Angoss Software’s social media analysis capabilities, predictive analytics techniques and recently announced KnowledgeCLOUD™ solutions: visit Angoss’ website. Watch an Angoss webcast about business analytics trends – and including social media data in predictive analytics models.
Written by tumbleweedmarketresearchanalyst
Analytics articles: Social Network Analytics · Tags: Angoss Software, angossdataminingsoftware, angosssoftwaresolution, cloudcomputingmarketinganalytics, Download Angoss' Text Analytics Beginner's Guide ebook, Register in Angoss' Customer Analytics Roadmap Video Series, socialnetworkmarketinganalytics, textmininganalytics
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