Advanced Analytics

Data & Analytics Webinar Series

Section 14 – Future-proofing Your Data Architecture

We already touched on the need for a data architecture to be flexible, extensible, and scalable so that an organization can grow, evolve, and change as internal and external needs shift over time. That concept needs to be baked into thinking about data architecture.

Let’s revisit the topic of trust, for example. Trust demands both high quality and high accessibility. Those elements, in turn, involve five factors: accuracy, completeness, reliability, relevance, and timeliness. Even if you have good data, it’s no help if you can’t access it, it’s incomplete, or it isn’t relevant to what you need at that moment.

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