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Sight Machine Introduces Digital Readiness Index for Manufacturing
The DRI guides manufacturers launching digital transformation initiatives
SAN FRANCISCO–The manufacturing analytics platform developer Sight Machine Inc. has introduced the Digital Readiness Index (DRI), a methodology to evaluate a manufacturer's readiness for digital transformation and identify the projects likely to deliver the most impactful returns.
Sight Machine developed DRI based on insights from digital manufacturing projects with some of the world's largest manufacturers. It reflects best practices from successful digital initiatives, as well as lessons learned from some that were less successful.
The DRI process is freely available at http://sightmachine.com/digital-readiness, where companies can find an interactive tool for gauging their readiness for manufacturing digitization and an explanatory DRI white paper. The methodology uses an online questionnaire to measure technical readiness–the necessary technical assets and skills–and organizational readiness, the organizational assets and buy-in needed for an initiative to succeed.
Based on the answers to the questionnaire, DRI uses a weighted scoring system to place organizations into one of five Digital Readiness Zones: Connection, Visibility, Efficiency, Advanced Analytics, and Transformation. For each zone, Sight Machine has recommended quick win projects and areas for investment to develop more advanced capabilities.
"The majority of large manufacturers understand the competitive need for digital transformation, but getting started or even knowing where to begin is often a challenge," said Sight Machine CEO and Co-Founder Jon Sobel, in a press release. "DRI provides a roadmap for digital transformation. It makes use of insights we've gained through helping dozens of companies operationalize digital manufacturing."
As companies move into higher Digital Readiness Zones, they are able to take on projects that can deliver greater impact in operations, quality, and profitability, according to Sight Machine. At lower levels of readiness, project use cases include a global operations view of real-time production across the network, and statistical process control to provide alerts for out-of-control events. As they rise to a moderate level of readiness, companies can confidently take on projects like parts traceability across the value chain and high-level defect analysis. At the highest level of readiness, they can delve deeply into supply chain transformation and new business model innovation.
"Across a wide range of industries, manufacturers encounter the same set of technical and organizational challenges to getting their digital transformation projects off the ground," said Sight Machine's Sudhir Arni, a former McKinsey & Co. consultant who led the development of DRI. "We have learned that success isn't determined by a plant's overall level of sophistication, but rather by selecting projects that align with a company's current level of digital readiness."
Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses artificial intelligence, machine learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise.
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