Any problem you seek to solve exists in a given context and a time. Context influences decision, data, architecture, process and thus solution. Context also changes, so it needs to always be considered and evaluated. But at the same time there is a balance between simplicity of solution and pure correctness. Thinking of every small detail can obscure possible solutions. The balance of these is the art of the technology. In addition, the tools being used to solve problems are also evolving. Historically these changes are now happening faster. For example, AI and machine learning techniques have started to become more common, and their use has automated some parts of business process, changing the data that needs to be gathered. Context needs to be included in any analytical model built.

For this discussion, identify the impact that these changes might have on an analytics project (you can assume a project, but please make sure it is Analytics project. Also this hypothetical analytics project should be based on the level of a graduate student) that you have been considering. What are the ways that you can account for the technical, organizational, or social changes that might have an impact on your project?

I will be evaluating this discussion based on your initial analysis, and your ability to work together to apply the resources on change management to the analytical context.