Incomplete or Inaccurate Data
The hidden risk to your predictive analytics efforts
Did you know that IBM estimates that bad data costs the U.S. economy about $1.3 trillion dollars every year? You may think that comes from people, but your devices can contribute to the problem, too.
In this white paper, we'll explain how data gaps or including bad data in your analyses can lead you to the wrong conclusions about what's happening in your operations. From data collection to network transmission to storage in your analytics environments, you can better understand the vulnerability points in your data ecosystem.
Key takeaways include:
- How to know when to trust the data collected from your devices
- How to ensure that your infrastructure is set up to support reliable data flows
- Understand the impact data gaps can have on your predictive capabilities