As products move to include connectivity, sensors and intelligence many people are working on the infrastructure to support the data streaming back from the field. Big data clouds, data lakes and analytics initiatives have become the focus in many cases. Yet, without accurate context – Digital Twin – time series data generated during production and ongoing operation is difficult or even impossible to understand and analyze. In addition, the ability to interpret and act upon these data often require traceability to prior information from related revisions – Digital Thread. To complicate matters further as artificial intelligence / cognitive computing is introduced the necessity becomes even greater.