For decades, all organizations operated within a data and analytics monolith. Delivery of data and analytics (or business intelligence) came from IT with underwhelming results due to complex infrastructures, delays, minimal UX, and lack of skills, to name a few barriers. But for organizations adopting a truly data-driven culture, we’re seeing a significant shift in the production and consumption of analytics across the enterprise. This decentralization of data enables agility, ownership, and speed to analytical insights – and more tightly aligns the D&A function with business objectives.
In this session, Kathy Koontz, former Director of IIA’s Analytics Leadership Consortium and currently an Analytics Platform Strategist at AWS, explored how to build a decentralized, modern data community across the whole data-value chain, including collecting, storing, discovering, and consuming data. Through the lens of a modern data community, Koontz examined the roles for IT, data producers and data consumers in creating an agile, scalable way to put your data and analytics to work.