Watch all the DataMasters Summit 2020 sessions on demand.
Reconciling data from disparate datasets can be a tricky and time-consuming process. Even when the data points refer to the same real-world entities, different data sources may use different conventions for describing their properties. For example, maintaining a global, up-to-date, and accurate dataset of infections and tests related to the COVID-19 pandemic is a challenging task, in part due to the different taxonomies that distinct nations and municipalities used to classify outcomes.
Successful cloud migrations improve the quality of your data as well as move it to a modern cloud infrastructure. Leading migrations with data mastering generates clean, curated and enriched records that set your organization up for analytic success.
Join Tamr’s Solutions team for an overview of how to break down data silos to achieve customer data quality & consistency to drive channel alignment, account cross-sell and forecast accuracy.