According to Gartner, $14.4B were spent on Business Intelligence and Analytics platforms in 2013. These platforms focus on automatically collecting and analyzing data. However, Gartner and others have identified three major steps in the Business Intelligence workflow: data collection, analysis and the sharing or explaining of insight. It is this last step in the process where many Business intelligence I efforts fall short and why many don’t see the Return On Investment (ROI) from Business Intelligence that they hoped for. The question is: how can you share the insight from analysis in a way that everyone can understand and in real time? This problem is aggravated by a major shortage in data analysts. According to McKinsey, the United States alone faces a shortage of 1.5 million analysts who can make decisions based on data.

Decision makers don’t want data. They want to understand what’s happening in the world. Data for the sake of data is a waste of time and money. Spreadsheets, visualizations, and dashboards fail because they may express the data, but they don’t communicate the facts and the events in the world that gave rise to them.

SILVIA analyzes data from disparate sources, understands what is important, then automatically applies analysis and insight behind the vast volumes of big data numbers. SILVIA conveys meaning from the data for any intended consumer or business audience, at unlimited scale. It does what data visualizations cannot: it identifies and conveys relevant information in a conversational language and story-line narrative that people can immediately comprehend, trust and act on. Organizations rely on SILVIA to better serve customers and to increase efficiency, freeing employees to focus on high-productivity activities and innovation.

Below list is a small subset of the type of problems SILVIA’s cutting edge technology could help solve.

  • Prediction & Analysis of customer’s behavior.
  • Predicting competitive advantages.
  • Predicting product trends
  • Predicting partnership opportunities
  • Customer segmentation / classification (loyal customer, risk of retention, potential attrition etc.)
  • Analysis & Prediction of sales cycle
  • Predicting marketing response rates
  • Fraud detection
  • Resource planning
  • Natural Language based computer integrations.

Please reach out to us to discuss how this technologies could help you gain solve your specific business problem and help you gain substantial competitive advantage.