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Data lakes are versatile and scalable repositories for storing enormous amounts of unstructured and heterogeneous data. In contrast to data warehouses, which utilize a predefined schema-on-write method, data lakes use a schema-on-read approach. Grow's Business Intelligence dashboards provide organizations with the tools they need to fully leverage the value of their data by seamlessly offering an in-built data warehouse. Visit Grow.com for more details.

Exploring transitions between the three main views of the New Tactics core experience - Terrain View (health/alliance), Connection View (nature of relationships), and Card/Grid View for editing and...

The right strategy can simplify complex data. A data fabric allows for streamlined access to all available data sources to create efficiencies and leverage data faster while still ensuring that the right people can only access data at the right time.

By simply gathering data without closing the data loop, big data stays just that — big. Data looping puts the processes and the right people in place to extract meaningful insights around key every point in the customer’s journey.

Once the machine learning has been put in place, you’re equipped with the right data and algorithms to start humanizing the AI outputs and aligning them with the business processes. This approach extends well beyond the idea that generative AI is a digital assistant, which is what this technology is typically thought of in today’s world.