Existing Citations

  • big data : Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis. (†623)
  • big data : Some people like to constrain big data to digital inputs like web behavior and social network interactions; however the CMOs and CIOs I talk with agree that we can’t exclude traditional data derived from product transaction information, financial records and interaction channels, such as the call center and point-of-sale. All of that is big data, too, even though it may be dwarfed by the volume of digital data that’s now growing at an exponential rate. ¶In defining big data, it’s also important to understand the mix of unstructured and multi-structured data that comprises the volume of information. (†624)
  • big data : Industry leaders like the global analyst firm Gartner use phrases like “volume” (the amount of data), “velocity” (the speed of information generated and flowing into the enterprise) and “variety” (the kind of data available) to begin to frame the big data discussion. Others have focused on additional V’s, such as big data’s “veracity” and “value.” (†627)
  • unstructured data : Unstructured data comes from information that is not organized or easily interpreted by traditional databases or data models, and typically, it’s text-heavy. Metadata, Twitter tweets, and other social media posts are good examples of unstructured data. (†625)