What’s the Problem?
Agile is a proven approach for delivering software solutions. Time-boxed cycles of feedback slice off incremental portions of functionality and rapidly deliver them, making it easier to see progress and validate the solution is developing as intended. Unfortunately, these short cycles can undermine the effectiveness of data science solutions. Data science requires detailed examination of available data, thorough analysis of solution alternatives, and repeated hypothesis testing to determine the best approach. As a result, data efforts tend to emphasize research and learning, work that does not naturally fit into a time-box.
Until now, there has been no effective way to bring these two approaches—Agile and Data—together harmoniously. Excella’s Rapid AnalytiX framework does just that.