Comprehensive Data Analytics for Manufacturing

Display all of your data from your various platforms simultaneously

Manufacturing Data Services

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Our Glimpse® Managed Advanced Data Analytics for Manufacturing service team assesses your current state and presents a future state by leveraging our extensive catalog of advanced manufacturing analytics dashboards, reports, and data models.

Glimpse’s manufacturing analytics dashboard gives real-time data access

Our Solution transforms data for immediate what-if analysis

With Glimpse’s manufacturing analytics dashboard, leaders can take their company wide data analytics to the next level

Unlocking limitless potential with Glimpse analytics

manufacturing analytics dashboard
manufacturing analytics dashboard

Enhance your manufacturing with the help of our manufacturing Analytics Dashboard

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Dive Into What We Do

Data and Analytics

We configure Glimpse dashboards to provide instant access to real-time data consolidated from many systems that span the client’s enterprise.  Data transformation is done nearly instantaneously in a cloud service.  The analytics presented are always up to date.  Predictive analytics offer a what’s next view of sales, production, or supply chain traffic.  Prescriptive analytics guide actions that will enable cost reductions and greater productivity.

Custom Modeling and Solutions

We work closely with client organizations to develop customized models and solutions that enable our clients to enjoy and benefit from the experience of experimenting with a “digital twin” of their production operations.  Our custom solutions can provide highly specialized real-time reports and analyses, such as economic order quantity calculations, truck dock utilization plans, or contact center staffing plans and forecasts. In addition, What-if support is built into many of our custom solutions to enable discussion of alternative approaches in team meetings without waiting for analysts to gather further data.

Machine Learning Solutions

Glimpse dashboards can employ advanced machine learning algorithms to recognize patterns, make complex assignments, or build highly reliable forecasts from historical data available.  Models run in real-time and have many practical applications, like shopping cart fraud detection, setting of credit policies for individual customers, and identifying customer’s most likely subsequent purchases.  Machine learning models are handy for such diverse tasks as allocating marketing spend to maximize sales leads or choosing process parameters and ingredients to maximize yield from a batch process.

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