Data Analytics Kick-off

Understand the value of data and its analysis

Events

Data is the gold of the 21st century

You've probably heard this phrase before. But how exactly do you create a benefit for your company with data analytics?

In this webinar, we will introduce you to the basics, methods and concrete use cases of data analytics for manufacturing companies. We also want to discuss the advantages and disadvantages of data analytics with you and give you an outlook on how you can quickly and easily get started with the topic.

Approaches to data analytics in operations range from "simple" to "complex," depending on the challenge at hand and the desired outcome. In the webinar, we will give you a brief, application-oriented presentation of different techniques and how they work.
Approaches to data analytics in operations range from "simple" to "complex," depending on the challenge at hand and the desired outcome. In the webinar, we will give you a brief, application-oriented presentation of different techniques and how they work.
Numerous application examples illustrate the different analytics approaches. At the security technology manufacturer ABUS, for example, a double-digit improvement in OEE was achieved through real-time data transparency on process deviations.
Numerous application examples illustrate the different analytics approaches. At the security technology manufacturer ABUS, for example, a double-digit improvement in OEE was achieved through real-time data transparency on process deviations.
By analyzing and simulating inventory data, automotive supplier Eberspächer significantly improved its inventory situation.
By analyzing and simulating inventory data, automotive supplier Eberspächer significantly improved its inventory situation.
In another project, machine learning led to scrap reduction in plastics processing.
In another project, machine learning led to scrap reduction in plastics processing.

Basics

The necessity of data analysis

Methods

From KPI tracking to process mining and artificial intelligence.

Use Cases

Typical applications for automotive-related industries and for mechanical engineering

Best Practices

Data analytics applications from trailblazers.

The right entrance

Prerequisites for targeted and sustainable data analytics

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