The focus of this presentation is to highlight the power and purpose of data reconciliation to help validate your measurement system before the data is used for production, yield, and loss accounting.  Jeff Kelly captures the need to maintain and build effective techniques and assure that accounting is accurate, these efforts become more pivotal when needing to capture projected losses due to emissions.  Industrially, we all know that instruments are only as good as calibration and quality of that instrument.  The key to good Data Reconciliation is to reconize that instruments need to be evaluated and when they are out of calibration, factors applied to better supply data which is more correct.  With the advent of higher taxation around emmissions accounting processes of the past are no longer suitable for the future. If your struggling to balance your feeds stock and production totals, give us a call and we can do some preliminary analysis to determine if our system would work for you.