Challenge

An energy service provider would like to Machine Learning model for Forecast of the positive or negative balance of control energy in the Grid Regional Network (NRV). The aim is to be able to operate on the volatile to be able to trade more efficiently in the electricity market.​

Solution

Numerous data sources are cleaned up and integrated into a unified Time series format merged. A visual and data-based Exploration of correlations and possible influencing factors will be is carried out. Subsequently, several regression and Classification models for the prediction of the balance or its Sign and application of a two-stage ensemble model created. ​

Result

Es there is a prototype of a forecasting model that is geared towards this, with currently available data, the balance of control energy in 15 minutes to predict. This allows the electricity producer to position itself in the market. better position. ​

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Challenge​

A DAX-listed energy supplier would like to have a data-suitable IT and business architecture. Furthermore, maintenance costs are to be of its systems and exemplified by the component LuVo (air preheater) the feasibility can be demonstrated​
​

Solution​

In the [at] Architecture and Roadmap Workshop, the technology and data basis is determined. This is followed by the exploration of the existing data sources and reviewing identified Requirements. A holistic process and data view of the IT and PDV systems developed. A data generating  Maintenance process is designed and the business case developed. ​

​

Result​

The architecture and data strategy depends on the concrete needs of the use-Case requirements derived. A prototypical Predictive Maintenance App for planning and an interactive process click-Dummy are created. A requirements analysis including a business case for data collection is also available. ​

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Challenge​

An energy supply company is migrating a large part of its infrastructure to the cloud. The previously used on-Premise Credit rating (R, C#) to be replaced by a new service (Azure, Python) be replaced. Increased safety regulations must be applied to reason of highly sensitive data are respected. ​
​

Solution​

There will be coordination with the legal department regarding specific GDPR guidelines as well as the integration of additional Security measures for the storage of sensitive, personal data in the cloud. Subsequently, a REST API with integrated data preparation, model training and realtime-Scoring, and Logging of all enquiries deiwckled. The Data pipeline will be integrated into the Azure infrastructure.

​

Result​

The API creditworthiness service goes live. The internal Credit checks can be carried out as a service throughout the Group and across all brands. be used.

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.