2 responses to “Does your data have a passport?”

  1. Eric Thoo says :

    An important implication to your reflection and insights David, I would call out—Getting data to where it needs to go is not enough — there is a critical need to ensure fitness for purpose. And there is synergy between delivering data really well—solid data integration, and delivering data that business can trust—high quality data. Organizations may make and risk the choice to pursue their data integration activities without a focus on data quality. Observations from my interactions with enterprises in the recent year, there is increasing interest and recognition for the importance of data quality and expanding focus and strategy for data delivery to include data quality competence. On the other hand, where there is poor synergy between data integration and data quality, the pain associated with wrong decisions and poor productivity — the battles over whose numbers are correct, and the significant effort required to work around incomplete and inaccurate data — continues. Many end users have already use transformation logic and business rules from their data integration tools to mimic data quality functions such as matching, cleansing and standardization. Data governance will increasingly become a required focus in various data integration efforts.

  2. John Milne says :

    Hi
    I totally agree with this article, I have worked on several large Data Migration projects over the years all in the Financial industry. At the moment I am acting as a Data Quality Architect, on a Solvency ii project, and we are using the complete suite of InfoSphere Tools, FastTrack, Business Glossary, Information Analyzer, DataStage and QualityStage.
    I am also responsible for developing Java Tools using the Http API and the REST Api to integrate the content and results from InfoSphere Analyzer and Business Glossary, trying establish the accurate Data lineage(history trail) of the data before we receive requires a lot of effort and time interacting with Data Producers and Data Consumers.
    IF the data had sufficient embedded metadata, containing the detail of where it originated and every time it had been changed, exported, imported that would have been fantastic, it would also have been considerably easier to implement some of the current mandatory requirements.

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