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Advanced Analytics


Advanced analytics gives your organization the power to act on information. It can prevent high-value customers from leaving, sell additional services to current customers, develop successful products more efficiently, or identify and minimize fraud and risk. In today’s rapidly changing information landscape in which organizations are bombarded with ever increasing amounts of data, advanced analytics is crucial.

Ironside delivers the strategy, technology and expertise to rapidly and effectively implement a advanced analytics solution. Our cross-functional team of doctorate level professionals brings a level of knowledge and experience that is unparalleled in their field. From a single-analyst department to a Fortune 50 enterprise, we can help plan and deliver any deployment.

Ironside has partnered with IBM SPSS to deliver a comprehensive advanced analytics solution that stands alone or integrates into your existing business analytics ecosystem with complements to other IBM technologies such as Cognos, Netezza and TM1. IBM SPSS can even be deployed without a data warehouse, or upon unstructured data, making it suitable for any organization seeking an agile solution with rapid time-to-value.

Core Capabilities

  • Strategic Visioning and Use Case Development
  • Data Exploration and Hypothesis Development
  • Data Mining
  • Segmentation and Categorization
  • Predictive Model Development and Refinement
  • Natural Language Processing, Unstructured Text Mining, Sentiment and Affinity Analysis
  • Business Process Integration and Decision Automation
  • Integration with Business Intelligence and Performance Management Agendas

Functional Applications

  • Customer Analytics (Churn, Recommendation, Cross/Up Sell, Segmentation, Opportunity Identification, Social Media and Content Analytics)
  • Operational Analytics (Demand Planning, Predictive and Econometric Forecasting, Predictive Maintenance and Quality)
  • Threat and Fraud Analytics (Fraud Detection, Pattern Recognition, Law Enforcement and Defense, Cyberdefense, Log Event Prediction)

Industry Applications

  • Predictive Sales and Operations Planning for Manufacturing
  • Quality and Warranty Analytics for Manufacturing
  • Predictive Maintenance and Quality
  • Customer Churn for Telecommunications
  • Predictive Forecasting for Asset Managers

Enabling Technologies

  • IBM SPSS Statistics
  • IBM SPSS Modeler
  • IBM SPSS Analytic Catalyst
  • IBM SPSS Collaboration and Deployment Services
  • IBM SPSS Analytical Decision Management
  • IBM SPSS Data Collection
  • IBM Predictive Maintenance and Quality
  • IBM Content Analytics
  • IBM Social Media Analytics

Social Media Analytics

Social media has changed the way we live, work and play, and businesses from every industry are using the power of social media to gain a better understanding of their customers and markets. However, to transform vast amounts of social media data into actionable insight and truly get in touch with the voice of the customer they need deep analytics expertise and guidance.

Ironside’s team of social media experts can help your organization go beyond mere social media listening. Through IBM Social Media Analytics, we can help your organization harness the power of social media data to understand attitudes and evolving market trends, predict customer behavior, improve customer satisfaction, and anticipate new opportunities for revenue growth.

Built on the leading IBM analytics platform, IBM Social Media Analytics is easy-to-use, scalable, and designed for non-IT users. Our convenient solution bundle includes the following unique benefits:

  • Fully managed services with personalized white-glove support
  • SaaS, Custom Cloud Hosted or On-Premise configurations
  • 100% setup of the application and configuration of preferred social data sources
  • Jump-Start Services including Development of your first use case
  • Training and Mentoring for your Staff
  • Optional Use Case and Social Analysis Development Services
  • Optional Integration of Analytics with external data sources (Hadoop or Relational)