Over the last decade, a transformative shift from siloed data structures to centralized data organizations has taken place. The advent of big data prompted numerous organizations to reassess their data infrastructures and make significant investments in data management. As data production and consumption surged exponentially, the demand for data and analytics as a crucial business function skyrocketed across various industries. To extract value from data assets, central data teams and centres of excellence were established. The transition to centralized data organizations addressed critical challenges related to data discoverability, access, and storage. Further, centralized data and analytics teams facilitated seamless data integration across the organization, breaking down information si
Council Post: Driving value from data and analytics organisation
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By implementing the right processes and approaches, data and analytics teams can bring methods to the madness of big data and streamline organizational ways of working.
