Data is prevalent and so is the problem of having complete trust on the data in terms of quality.Poor data quality could lead to direct and indirect problems there by affecting the enterprise. The problem becomes multifarious when we try to apply it in context of big data. Amid such setting, it becomes important to be informed about the critical factors prior to deciding on one solution. Organizations looking to gain complete trust on the data need to implement scalable data quality assessment solutions and strategies to guarantee better confidence in terms of data usage. Effective data quality assessment solutions are the ones that are easy to adopt, maintain as well as flexible in terms of scalability and execution.Read on to know the crucial aspects of such a solution that one must reflect on while applying data quality assessments to big data