In Financial Services companies, It is a long game explaining to the business about the benefits of good data quality. Historically any data quality initiatives were being downgraded by CFOs \/ CEOs while regulatory initiatives were prioritised. Data professionals were longing to create a structured framework for data governance and data quality. After a long period, Data professionals are delighted that the banking industry is coming to terms with data governance and data quality initiatives largely driven by regulatory pressures such as BCBS 239.\nCertain regulators are taking the data quality regime to the next level by defining data quality in a more holistic way. For example European Central Bank (ECB) has included \u201cPlausibility\u201d as a measure of data quality. ECB has broken Plausibility in to two; \u201cStability\u201d and \u201cOutlier analysis\u201d.\nStability is \u201cChange in the total number of reported data points from period to period\u201d\nOutlier Analysis is a two dimensional analysis of data values\na)\u00a0\u00a0\u00a0\u00a0\u00a0Extreme growth compared to peers and the population\nb)\u00a0\u00a0\u00a0\u00a0\u00a0Extreme levels compared to peers and the populations\nFrom a Data Quality metric measurement perspective, it is easier to assign a data quality score for Stability. However \u201coutlier analysis\u201d is a lot different, and it is extremely difficult for a financial institution to measure and monitor. Majority of the submissions to ECB is quarterly \/ semi annually and has strict due dates.\u00a0\u00a0 Though I appreciate ECB\u2019s holistic view on \u201cPlausibility\u201d, it gives no room for banks \/ financial institutions to monitor this metric. Firstly, where the hell the banks are going to peer data (prior to submission), in almost all circumstances these are non-public data (like margin, trading positions, balance sheet size) prior to any exchange filings. Secondly, the legal entity structure of various banks does not make the data comparable, Thirdly, banks and institutions are highly regulated which makes it cumbersome to share the data among peers .\nBanks have no way of predicting whether their data in their submissions is \u201cplausible\u201d by themselves, which warrants further investigations by ECB to the state of affairs of a financial institution.\nAs a data governance consultant, I would like to enforce the principle when a data should meet stakeholders requirements at first pass. However \u201cplausible\u201d dimension by ECB makes the data submissions rarely to be correct at first pass which requires further analysis and investigations.\nDear ECB, I am glad you are on-board with the data quality ideas...but please can you stop these shenanigans.