Ten Mistakes to Avoid for Better BI and Analytics with IoT Data
TDWI Member Exclusive
March 8, 2019
By David Stodder
Digital transformation and instrumentation are vastly increasing the sources and volume of data flowing into organizations. Underlying these trends is the advance of the Internet of Things (IoT), the network of connected physical objects that contain sensors, software, and communication technologies.
Organizations are under pressure to develop strategies for realizing the potential of IoT data and integrating it with other operational data to provide data scientists, analysts, and business users with more complete and comprehensive views.
This Ten Mistakes to Avoid focuses on key issues facing organizations as they determine strategies for generating value from IoT data. It points out potential mistakes and pitfalls that your organization can avoid by having a good strategy.