Validation and Explanation
Growing demand for validation and explanation
Distinguishing real insights from false patterns requires a highly specialized set of skills, yet the U.S. alone faces a shortage of nearly 200,000 people with this expertise. While algorithms can certainly crunch the numbers, decision makers are hesitant to take action based on insight they don’t fully understand, and making decisions based on invalid or inaccurate analysis can lead to disastrous consequences. The shortage of data scientists coupled with the need for understanding will trigger increased demand for solutions that provide automated statistical validation and that dispense with the “black box” model to provide detailed explanation, bring clarity to analyses, and confirm the soundness of data patterns.