Organizations are collecting increasing amounts of disparate data, sometimes more than they are able to handle. They realize, however, that analyzing this data can provide competitive advantage. Big data continues to be an active area of interest for many organizations across various industries, but numerous questions still exist regarding big data initiatives. How mature are these programs? How far have the companies advanced in their big data initiatives? What does it take to succeed? Big data maturity is an evolution of an organization to integrate, manage and leverage all relevant internal and external data sources. It’s a journey that involves technology, processes and - very importantly - people.

In order to help organizations understand where they are in terms of their big data efforts, TDWI launched its Big Data Maturity Model in late 2013. This model was developed as a result of questions from our members about what they should be doing (if anything) big data and where to start. They want to understand what other companies are doing with big data, and the model allows organizations to see where they stand relative to their peers in terms of their big data efforts. The model consists of five different phases of maturity: nascent, pre-adoption, early adoption, enterprise adoption, and mature/visionary. It also contains a chasm. Additionally, the model includes an interactive assessment that can help to guide business professionals in their big data efforts.

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