Big Data Gets Bigger with a World of Connected Devices
Modern automobiles carry multiple computers emitting dozens of kinds of data every day. Smart meters are providing electricity data which turns into flexible rate plans so consumers can manage usage costs on hot summer days. By using in-store sensing beacons, retailers are learning how to follow customers through the store aisles in order to provide a better shopping experience. Transportation companies are using sensors to conserve fuel, track assets, and optimize routes. If the rise in connected devices – the Internet of Things (IoT) – tells us anything, it’s that Big Data is here to stay and is only going to get bigger.
Sensor data is the next new rich data source. Imagine engineers analyzing sensor data to discover root causes for hard disk drive failures. Great! But imagine if that sensor data is analyzed alongside other corporate data assets. Now, the company has the ability to predict which customer shipments contain those defective parts.
The big return-on-investment (ROI) happens when sensor data is viewed in context with the rest of the business. But line-of-business managers and technologists must start by asking the right questions:
- As the IoT multiplies data volumes, how does the approach to data management and analytics change to enable insight at scale?
- What is the best technical environment to generate real understanding that translates directly into business value?
- How do we combine IoT data with other data sets from across the organization?
- Which analytics provide the highest payback for our sensor data?