Powering The New Age of Manufacturing
How Sight Machine Delivers the Next Generation of Continuous Improvement
Three Problems that Doom Digital Transformation Efforts — and How to Avoid Them
A Data-First Strategy Requires Changes in How Some Chemical Companies Operate
Enabling ‘New Answers to New Questions’ via System-wide Data Visibility in the Paper and Tissue Industry
Breaking Down Silos and Building Insight for Paper and Tissue Manufacturers. Four Scenarios that ‘Make the Case’ for Sight Machine.
Digital Manufacturing Data Readiness Audit
By providing a consistent methodology to assess data, manufacturers can establish a common vocabulary for describing the usability of data.
Digital Manufacturing Lives on the Cloud
Manufacturers embarking on digital transformation projects face a series of early decisions that will ultimately determine if the projects succeed in transforming the company or become failed science experiments.
7 Steps to a Successful Manufacturing Big Data Project
Manufacturers produce the largest volume, velocity, and variety of data. Manufacturing analytics hold the key to understanding. This paper provides a practical “how to” guide for launching a manufacturing analytics project. See how to avoid common roadblocks and pitfalls.
Thought for Food: Breakthrough Analytics for Food and Beverage Manufacturers
How can you transform a huge repository of data into actionable intelligence and gain value from it?
Advanced Insights: 5 Manufacturing Analytics Best Practices for Today’s Enterprise
With more intelligent use of factory data, today’s manufacturer is in a better competitive position. See how to achieve real-time visibility into your automation systems and manufacturing operations.
Manufacturing Analytics: Uncover the Secrets on Your Factory Floor
For manufacturers, operational insight is masked by mountains of process and part data flowing from factory floor sensors, systems, suppliers, and other data sources. This paper makes the case for an advanced manufacturing analytics platform that helps uncover secrets from the factory floor for real-time, data-driven insight, enabling fact-based decisions.
Case Study: Asian Paints
Asian Paints, India’s largest paint and coatings company, recently launched an initiative to harness its production data to drive business value. With Sight Machine’s help they achieved a 7% reduction in cycle time within 60 days of Sight Machine deployment.
Is Your Company Ready for Digital Transformation?
Through our experience with dozens of companies embarking on digital transformation, Sight Machine has developed a standardized process to evaluate corporate readiness, identify appropriate projects — those most likely to succeed based on current readiness — and rank projects according to their readiness. We call this the Digital Readiness Index (DRI).
Manufacturing Performance Index (MPI)
In this white paper, we discuss a new productivity metric that lets manufacturers directly link productivity data to profitability. We believe this approach provides the flexibility and ease of use that manufacturers are looking for as they evaluate potential investments, including investments in digitization.
Manufacturing Metrics in an IoT World: Measuring the Progress of the Industrial Internet of Things
This eBook demonstrates how Manufacturing Operations Management is still at the center of data collection, information handling, and operations management in most enterprises. The impact that IT trends are having on the Manufacturing Operations Management space are investigated, and suggestions are be given as to where thing will go in the coming years.
Finding ROI in the Factory and Beyond: The Value of Industrial Big Data Analytics
We are in the midst of one of the most transformative periods in industrial operations and technology over the past 40 years. As industrial executives attempt to make sense of changing business models and technology landscapes, it is critical that a formalized and structured approach is taken.
Sight Machine Enables Operational Intelligence with the Digital Twin
A key benefit of the digital enterprise is operational intelligence. A vast quantity of end-to-end manufacturing data is available in most plants and factories, but the question manufacturers often ask: How can we transform this huge repository of data into actionable intelligence to gain value from it?
9 Ways Manufacturing Analytics Can Improve Your Profitability
Innovation and transformation require insight, get started today!
Time is Money: How to Use the Data You Already Have to Identify (and Solve) Process Problems Faster
Time is Money: How to Use the Data You Already Have to Identify (and Solve) Process Problems Faster.
MES isn’t Analytics: An at-a-glance comparison
Examine the attributes most critical for integrating production data in real-time with other sources.
Knowledge is Power: How to Use the Data You Already Have to Build Competition-beating Strategies
Are you realizing the full value of your data?
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