Most companies experience the same pain point when working with data: it takes too long to get the right data to the right people. This creates a huge opportunity for data scientists to find innovative solutions to accelerate that process.

One very effective method is to implement real-time data solutions that can increase business revenue and make it easier for anyone relying on the data to access the data they need, understand it, and make accurate decisions with it.

George Trujillo joins the show to share how he believes real-time data has the potential to completely transform the way companies work with data. George is the Principal Data Strategist at DataStax, a tech company that helps businesses scale by mobilizing real-time data on a single, unified stack. With a career spanning 30 years and companies like Charles Schwab, Fidelity Investments, and Overstock.com, George is an expert in data-driven executive decision-making and tying data initiatives to tangible business value outcomes.

In this episode, we talk about the real-world use cases of real-time analytics, why reducing data complexity is key to improving the customer experience, the common problems that slow data-driven decision-making, and how data practitioners can start implementing real-time data through small high-value analytical assets.

#101 How Real-Time Data Accelerates Business Outcomes 44:49 Share

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#101 How Real-Time Data Accelerates Business Outcomes