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  • Data and Analytics

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Methodology

In an age when efficiency and rapid adaptability are crucial, process mining offers significant added value: it enables companies to optimise their business processes in a data-driven way. In this blog post, we explain in more detail how process mining can help – in virtually every implementation, regardless of industry or process.

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Methodology

Foundation models are revolutionising the way we perform time series analyses. They are trained on large data sets and offer flexible and scalable solutions for complex predictions and pattern recognition. In my blog post, I introduce foundation models, show advantages and technical details and compare different models with each other.

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Methodology

25.07.2023 By Marc Mezger and Moritz Momper

The best Visual Studio Code extensions for Python developers

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In this blog post, we would like to present the Visual Studio Code extensions that are indispensable in our day-to-day work as experts in the fields of machine learning, data engineering and AI. If you do not have the appropriate extensions, Visual Studio Code would not be a full-fledged integrated development environment (IDE). But with the right ones, you can save yourself a lot of work and become more productive as a developer.

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Industries

Reports and key performance indicators (KPIs) create transparency that is of great use for many departments at a company. Using dashboards is recommended since they are a cost-effective tool for grid operators in view of the limited budgets available to them. In our blog post, we will be focusing on dashboards that provide grid operators with business and financial KPIs.

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Industries

Data innovations and data analytics use cases are an issue in the energy industry. Grid operators are sitting on mountains of unused data, meaning they are unable to properly exploit synergy effects and efficiency potentials. This blog post will explain how fully integrated processes, systems and data can help speed up the energy transition.

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Industries

03.02.2023 By Stephen Lorenzen, Maximilian Hammes and Jonas Schnorrenberg

Are business intelligence maturity models relevant for the energy sector?

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Business intelligence (BI) maturity models are used to find out how far along a company is in terms of digitalisation and data use. In our blog post, we will explain how maturity models help with classification, whether the Interaction Room is an alternative way to apply them and, if it is, whether it can be used as a basis to successfully improve BI in the holistic consultancy process.

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