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All corporate learners deserve a great learning experience, one that affords every opportunity for them to grow. But every corporate learner follows a unique roadmap to build their career. Every L&D department in the organization needs the right data in the right format and at the right time. This data enables them to understand their learners and guide them aptly on their respective learning journeys. All said and done, educational data is huge and cannot be analyzed using spreadsheets. They need an in-depth analysis of the hidden data in order to understand learners and their learning behavior. Collecting and combining data can clearly provide valuable information in designing and developing smart learning. But, how is this data visualized and analyzed to provide accurate statistical information to learners? The potential of learning analytics to enable smart learning remains a non-investigated concept. In this session, I would be discussing about the use of learner data and introduce a concept called Educational Data Mining. Please consider supporting future iDTX conferences by joining us on Patreon for as little as £1 per month: / idt