A framework that focuses on the data in big data governance

Organizations will be successful in governing their big data if they adopt a framework that covers the appropriate types of big data, the information governance disciplines, and the specific use cases for their industry and function. Big data can be classified into five types, web and social media, machine-to-machine (M2M), big transaction data, biometrics, and human-generated. Big data analytics are driven by use cases that are specific to a given industry or function such as marketing, customer service, information security, or information technology. Web and social media data includes clickstream and interaction data from social media such as Facebook, Twitter, LinkedIn, and blogs. Machine-to-machine data includes readings from sensors, meters, and other devices. Big transaction data includes healthcare claims, telecommunications call detail records (CDRs), and utility billing records. Biometric data includes fingerprints, genetics, handwriting, retinal scans, and similar types of data. Human-generated data includes vast quantities of unstructured and semi-structured data.