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Enterprises undergoing digital transformations move through three phases of maturity: Commodity Storage, Self-service Everything, and Machine-learning Ubiquity. At each stage, enterprise data technology innovations have served end users seeking to get the most value out of their data.
Many enterprises have reached that second stage—using self-service data technologies to empower end users to access and consume data on their own. But the convenience of self-service data technology is self-limiting: As enterprise data grows, end users’ ability to find it, figure out what to do with it, and gain insight from it gets more difficult. And that’s a complex challenge only exacerbated by static, technology-reinforced, self-service processes.
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