Advanced Analytics: Remembering Data Quality When the Data Spigot Is Turned Way Up
Author: DATAVERSITY via YouTube
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Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even company. The data layer of an organization is a critical component because it is so easy to initially ignore the quality of data or make overly optimistic assumptions about its efficacy.
Having Data Quality as a focus is a business philosophy that aligns strategy, business culture, company information, and technology in order to manage data to the benefit of the enterprise. It is a competitive strategy.
Addressing Data Quality has to change when you are talking about streaming and high-velocity data. How? Is there less? Are there different methods? Do you have to tackle it at the source? Are there different rules that can be checked? Don’t let Data Quality go, and pay for it, just because it’s streaming data. Let’s see how we can maintain Data Quality in a world that is quickly moving to streaming approaches to data.
Download slides here: https://www.dataversity.net/oct-10-adv-webinar-remembering-data-quality-when-the-data-spigot-is-turned-way-up/