Predictive Maintenance: From Model to Rollout | 3/3
In the first two parts of our predictive maintenance blog series, we explored the basics, challenges, use cases and key steps for preparing and analyzing data. With this foundation in place, we now turn to one of the most critical…
Predictive Maintenance: Data Preparation | 2/3
In the first part of our blog series, we explored the definition, challenges and use cases of predictive maintenance. We will now show you why careful data preparation is important when it comes to accurate and reliable predictions. Predictive maintenance…
Predictive Maintenance: The Future of Maintenance | 1/3
Predictive maintenance (PM) is a key tool for Industry 4.0, helping companies maximize their system’s efficiency and reduce unplanned downtime. PM enables precise maintenance planning and accurate estimation of a component’s remaining useful life (RUL). This enables you to proactively…
Data-Based Decisions thanks to Decision Intelligence | 3/3
We’ve already covered the basics of Business Data Analytics and data-driven process optimization in the first two parts of our blog series. Now we’re diving into Decision Intelligence. We’ll show you the three types of Decision Intelligence and how you…
Data-Driven Process Optimization: Getting Started | 2/3
In the first part of our blog series, we explained why business data analytics is becoming essential in everyday business and the opportunities it creates. Now we’ll give you an easy-to-follow guide you can use to put it all into…
What does Business Data Analytics Mean? | 1/3
Today’s business landscape is driven more than ever by data-based decision-making, spanning all industries and (specialized) departments. Companies from all sectors are increasingly aiming to generate intelligent insights from their data to help them make decisions. As a result, analyzed…
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