10 Things That Smart Data-Analytics Teams Do
They integrate external data with internal data to conduct high-value analysis of the business environment.
They recognize which data opportunities present the biggest potential value, especially in terms of competitive distinction.
They constantly explore new ways to use cloud computing to process data and conduct analytics.
They’re always looking for new tools to collect and assess unstructured data which materializes as text, video and images.
They’re adept at deploying data visualization to further lend understanding and appreciation of the potential for big data to drive business decisions.
They maintain consistent definitions and standards for all data used for analysis.
They perform rigorous vetting to ensure the integrity of the data, so users, decision-makers and product developers enterprise-wide trust it.
They collaborate extensively with channel partners, customers and other members of their business circles to share big data content and applications.
They are eager to help the entire organization develop data science and analytics skills—from the front lines to the C-suite—to maximize the value of data.
Because of these and other efforts, they are considered by the C-suite as key consultants for important data-driven business decisions and IT innovation investments.