Dylan Jones (@dataqualitypro) shares an example of why data quality should be a business-as-usual practice.
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Business leaders and managers at all levels within an organisation make hundreds of important decisions throughout the year and nearly all of them are driven by data.
I started learning about data quality management back in 1992. Back then there were no conferences, limited publications and if you received an email via the internet the excitement lasted for hours.
I gave some thought recently about the different types of informaton that hundreds of organisations must possess about me. Credit card bills, health records, mortgage payments, loans and savings, social media profiles, employment history – the list goes on. An entire personal data store is scattered across hundreds of organisations
At some point your organization will decide the time is right to modernize. While much of the talk will be about the challenges of modernizing service capabilities and systems, the real challenge will come from modernizing your data.
Data lineage means many things to many people but it essentially refers to provenance - how do you prove where your data comes from?