To realize the full potential of Big Data, companies need to pursue several parallel initiatives, as follows:
Create a strong pool of qualified resources to drive various initiatives
Build momentum around the adoption of Big Data technologies
Build critical mass of success in Big Data projects
Build a long-term, robust, and sustainable platform for Big Data initiatives
There are many established methodologies followed in traditional technology-driven projects. At one end of the spectrum, we have the classical waterfall model, which takes a very sequential view of projects from start to finish for the entire scope of the project. At the other end of the spectrum, we have the new-age agile methodologies, which promote a more iterative approach addressing smaller chunks of the scope at a time. The project management techniques for all of them are quite mature; there is a wealth of information in published literature, case studies, and training...