Data is a key differentiating factor for all organizations. Knowing where your data is unique, and where there is sufficient data to draw distinction is critical to moving data from dead weight to working asset.

Data quality requires work, which is best factored into project timelines and included in workflows. Operationally, data correction should have a priority in any data driven organization.