There can be many reasons for big data projects failing, but the causes often fall under the umbrella of a lack of careful planning and a failure to effectively reconcile the panoramic visions of business objectives with technical and structural realities. Business objectives are often abstract and high level, and operationalizing those abstractions into the kind of detailed information that feeds the development of effective big data projects is often to be found at the root of that failure. Precision and measurability are the keys to defining the business objectives that will be addressed by the project.
Posted November 13, 2013