Data. Our industry really loves that word, making it seem like the whole world revolves around it. We certainly enjoy revolving a lot of words around it. We put words like master, big, and meta before it, and words like management, quality, and governance after it. This spins out disciplines
Data has value IF you can analyze it, said participants at a big data analytics roundtable at the Premier Business Leadership Series in Las Vegas. In attendance were executives from some of the largest Communications companies in the world including from the US, Canada, Turkey, Japan, Australia and the Philippines as well
With big data, data governance challenges escalate in many ways: The diversity of data sources means that there are minimal standards for data structure, definition, semantics and content. The lack of control over data production means that you can’t enforce data quality at the source as you can do with
