A recent Gartner report exploring the impact of IoT on enterprise infrastructure assumes that 25 percent of all attempts to harness IoT data will be abandoned before they are even deployed “due to a lack of information capabilities adapted for the IoT.”
Those in charge of implementing IoT strategies, including those overseeing data governance, “are not prepared for the information-related implications of the Internet of Things,” the study warns. “The IoT will challenge their capabilities, skills, processes and tools with complexity and scale, as well as new governance implications.”
As “business becomes data and data becomes business,” information management is increasingly seen as a core competency. Along with addressing the obvious scaling issues associated with the massive data volumes to be generated by connected IoT devices, the market researcher stressed data governance capabilities along with the need for distributed data architectures that can meet “variable latency” requirements.
While data management capabilities top the list of IoT requirements, Gartner also recommended development of new capabilities needed to manage emerging distributed data architectures that support analytic applications while at the same time executing distributed data governance processes.
Given its prediction that one-quarter of early IoT implementations will be abandoned, Gartner touts an “information capabilities framework” designed as a template for enterprises to begin getting their arms around IoT data. The framework starts by leveraging metadata to assess the value of information and to promote proper governance. At the point, IoT can be organized, integrated into the enterprise and shared once data governance policies are set.
A key task for IoT data managers will be developing the IT framework needed to “structure and position information assets,” the researcher noted. For starters, that means rethinking storage capacity along with how and where IoT data is accessed.
Gartner predicts that existing storage will be quickly overwhelmed with unstructured IoT data. “A limited ability to cost-effectively scale existing storage approaches will create a bottleneck,” the researcher warned.
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