Elements of Data as a Service
Data as a Service goes beyond building algorithms to fill your data lakes. Data science requires that you tap into the analytical and scientific side of your brain to understand complex data sets. DaaS providers are tasked with wrangling big data sets and taking them through heavy analytical rigor. There’s science involved in the data is collected and aggregated. There’s strategy to how you run deep analyses while looking at statistical significance and identifying correlations. But there’s also an art to pulling out insights from advanced analytics and visualizing them in a way that’s digestible by everyone company-wide, regardless of education or experience.