Targeting
A well designed targeting system must include a rich set of base data, an entity resolution module, a robust rules engine, a clean user interface for displaying rule findings, extending the research beyond the initial finding, dispositioning the finding and sharing the results of the finding. It must support user ad hoc queries to do impact analysis using “what if” scenarios and the capability to refine those assessment strategies to a cogent rule.
Targeting Life Cycle
Analytics
Data discovering begins with understanding the complex relationships that exists in your database. Whether that database is a traditional relational database or a NoSQL database like Hadoop, Neo4J, MongoDB or Elastic, the information is only as good as what can be understood from it.
This variety of data models that can serve to better inform and thereby leverage all the information at hand. Each has a place in the modern ecosphere and can be useful depending on the need. We can help you whether you are deciding which model will work best for you or if you have an existing model how to optimize and use it to its full potential.
