As new machines, sensors, and connected devices come online every day, organizations are forced to embark on new IoT initiatives to extract insights from ever-increasing data volumes. The conclusions in this Aberdeen research report are based on survey data from 205 organizations in a variety of industries and cover:

• Specific challenges raised by fast and diverse data
• The changing role of the central database
• Strategies used to streamline data processing
• The role of data integration in IoT data management
• Common types of data found in IoT scenarios
• End-user, real-time, and predictive-analytic requirements

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