Big Data Analytics – Use Case Identification Framework by Sameer Paradkar

“Use cases are gaining more and more importance when it comes to the exploration of ideas, requirements analysis and prioritization of tasks in analytics and Big Data projects. To identify, structure and prioritize the most promising use cases we recommend combining two common approaches; ideation (top-down) and data-driven (bottom-up).The ideation approach leverages innovation and creativity to come up with new ideas. Methods like Design Thinking help subject matter experts to identify and formulate potentially beneficial use cases. Thinking outside the box supported by creativity techniques has proven helpful in coming up with ideas. The biggest weakness is the lack of validation and substantiation of ideas with data and facts that could lead “theoretically designed” innovations, which are difficult to implement in actual organization environments.”