Keeping track of data quality, instant reporting of data issues

Data Manager

A standardized and accurate data basis across departments, IGP apps, and processes

Data Management

Incomplete grid models, conflicting data, manual corrections: For many grid operators, this is still part of their everyday operations. But a reliable data basis has already become essential for digitalizing the grid. Our experience has shown that getting started is worth it, even if the initial data situation seems challenging at first.

This is where our Data Manager app comes into play. It supports you in creating a reliable data basis and maintaining high data quality: Not through lengthy data maintenance, but with automated checks, specific quality analyses and a lean process for reporting and processing data issues. Step by step, this allows you to transform heterogeneous grid data into a reliable and computable grid model.

What you can do with the Data Manager:

The Data Manager brings transparency to your data situation – during data import, through regular quality checks, or when handling data issues. The efficient data quality process provides better data, better calculations, and better decisions. That's not only important during the initial onboarding. The Data Manager continues to help you maintain consistently high data quality.

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Three-step analysis – elemental, topological, electrical

To provide a valid power grid data basis, the Intelligent Grid Platform combines three levels of analysis that ensure the data is both high-quality and reliable:

  • Plausibility check on element level — detects incomplete or conflicting information
  • Topological analysis — identifies blackfallen or wrongly connected grid segments
  • Electrical grid section analysis – evaluates the computability and checks the plausibility of calculation results in regard to the supply task

This multilevel process ensures that the grid model serves as a reliable foundation for the next steps.

 

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Elemental analysis: Overview and filtering for deeper insights

In the detail view of the elemental testing, you can look for specific imported elements and filter by type, voltage level, status, and quality level. Data issues and assumptions are clearly marked as error or sub error types, which can also be filtered by. The data can be conveniently exported as an Excel or a CSV file for further analyses. This helps correct the data in the source systems – providing a better overview for you, and a better data basis for all connected systems.

 

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Report data issues – quick and easy

Wrong line type, faulty switch state, incorrect inner wiring? Not a problem! If you come across a data issue, you can report it directly from within the IGP — the respective form appears automatically. All the information entered here is clearly displayed in the respective tab in the Data Manager. This allows the responsible staff to access the data issues and take action to resolve them.

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Data issues and anomalies – all in one place

Reported data issues can be accessed in a centralized overview. Using the sorting feature for individual columns, you can choose to display the table by issue ID, name of the issue, date or status. You can access the details of a specific issue by clicking on the respective element in the table. In addition to basic information, the details also include the processing status, keeping you informed about the issue's resolution progress at all times.

 

How the Data Manager makes daily operations easier:

 

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Established analyses and processes

75+ successful data onboarding projects highlight the benefit: For higher data quality and a computable grid model.

 

 

 

 

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Less effort, more time

Status tracking and automatic notifications of reported issues save time and energy.

 

 

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Clean data – smart grid planning

Access to high quality data – without system breakdowns and integrated directly into the IGP apps and your workflows.

 

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