Five success factors for digital transformation

Digital transformation efforts are even more difficult to pull off than traditional change efforts, but a new McKinsey Global Survey highlighting the results of the most effective transformations point to the top five factors for success.

Since technology is no longer the barrier for your success, discover what you have to put in place to start contributing to your company's growth.

DSM Dyneema's successful digitalization journey

DSM Dyneema is the global supplier of the world's strongest fiber and is known for its performance and quality. Meeting those two guarantees requires achieving the highest excellence in operational performance while maintaining overall profitability.

After three big-data modeling projects, DSM still didn’t have answers for how to increase capacity and improve process stability, so they began looking for alternative analytics tools that could be used by process engineers and quickly deliver results.

Read on to learn how self-service analytics not only accelerated their digitalization journey, but transformed their operations.

Industrial analytics for the non-data scientist

In this free white paper, global research advisory firm ARC Advisory Group analyzes the next generation of industrial analytics solutions and examines how a self-service approach can help companies optimize their production processes.

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Understanding your organization's current analytics maturity

You've made your first steps into the world of data analytics to access the promise of Industry 4.0 – but now what? Understanding the current analytics maturity of your organization could be the key that will bring you the value you're seeking.

Free Live Webinar 11/28

Operating in the Fast Lane: Contextualize Time-Series Data for Smarter Analytics

Data is the new oil, but its full potential can't be unleashed unless all operational context is utilized. Join us on 11/28 and learn how easy it is to combine time-series and critical event data to put your operational processes in the highest gear.

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TrendMiner users can analyze their process data, monitor production, and predict problems early on. Click below to learn how easy it is to turn your data into actionable intelligence.

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