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The Internet of Things (IoT) will substantially change the mix of enterprise analytics and information management (AIM) investments over the next 24 months to meet the scale, speed, flexibility and automation required to support sensor-based initiatives.
This new 37-page report from International Data Corporation (IDC) provides an assessment of 25 AIM technologies that support the IoT and provides guidance about maturity and adoption risk for each of the technologies:
Implementing the analytics and information management (AIM) tier of an Internet of Things (IoT) initiative is about the delivery and processing of sensor data, the insights that can be derived from that data and, at the moment of insight, initiating actions that should then be taken to respond as rapidly as possible. To achieve value, insight to action must fall within a useful time window.
That means the IoT AIM tier needs to be designed for the shortest time window of IoT workloads running through the end-to-end system. It is also critical that the correct type of analytics is used to arrive at the insight. Over time, AIM technology adopted for IoT will be different from an organization's existing technology investments that perform a similar but less time-sensitive or data volume–intensive function.
Enterprises will want to leverage as much of their existing AIM investments as possible, especially initially, but will want to adopt IoT-aligned technology as they operationalize and identify functionality gaps in how data is moved and managed, how analytics are applied, and how actions are defined and triggered at the moment of insight.
This 37-page IDC TechScape covering IoT AIM is designed to help:
As enterprises assess their existing AIM infrastructure, they are finding gaps in capabilities, in both skills and technology adoption. There is a focus on data-at-rest where sensor-based initiatives require data-in-motion supporting continuous analysts. Download this comprehensive report to learn more.