AXONIFY CASE STUDY: Bloomingdale’s uses microlearning, big data, and machine learning to prove training saved $3 million in 1 year How can I not only prove training has a direct impact on business results, but also understand how to make the right changes for continuous progress? This is a question leaders haven’t been able to answer. They know they need to put more dollars into training but lack the data to justify more budget, let alone understand where and how to apply training resources most effectively. Unfortunately, any money they receive is viewed as a sunk cost—instead of a benefit to the business. Chad McIntosh, Vice President of Asset Protection and Risk Management at Bloomingdale’s used to struggle with this challenge, but he found a way to solve it. Tired of relying

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