Data is everywhere, but access to it doesn’t always translate to value. Organizations have invested heavily in collecting data and deploying analytics platforms; however, for many teams, day-to-day reality still resembles a flood of ad hoc requests and delayed roadmaps. That’s where data productization comes in, not as a buzzword, but as a practical approach
DataOps is a collaborative continuous information management practice focused on cultivating the communication, integration, and automation of data flows between data owners and data consumers across the organization. To relieve bottlenecks and barriers in delivery of data and analytics solutions, organizations need to change the way they work. By introducing DataOps techniques in a focused
Drawing from extensive experience working with lots of fast-growing companies, I knew there was more to better decisions than just more tools, more dashboards, and more visualizations. In addition, getting to insights faster doesn’t always ensure you’ll get to the correct business aspirations. The essence of strategy is to find a unique position in your business that
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