Good reliable data is an essential part of the IT Asset Management (ITAM) discipline. Because your data comes from disparate sources, the challenges that arise from rationalizing those sources can be daunting. Different datasets will have different formats for attributes that you need. M&A activity creates large influxes of data with large degrees of duplication requiring reconciliation. How do you transform that raw data into the consistent, normalized information that your customers need to make business decisions?