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Data quality

We identify and document the requirements set for data and form quality indicators on the basis of which we analyze the current status of data quality and the development roadmap.


Our data quality services

We define the procedures and responsibilities for data quality management and support their deployment. We help develop an operating model that aims to take proactive measures to improve and preserve data quality. 

We identify and document the requirements set for data and the current status of existing data and practices and systems related to it. We map the organization’s capabilities for data quality management, identify key data users and their requirements for data at different stages of its life cycle. 

We define the harmonization needs and conversion rules of the system project and identify and depict new or changed data that the processes require.

Why choose Loihde Advance?


We make digital development projects understandable, manageable, and effective. In our comprehensive planning, we take into account the company’s business objectives, customer understanding, operational model, and technology opportunities.


Loihde’s Data Quality Management (DQM) model offers methods and tasks to ensure that the organization’s data is as accurate and complete as possible and fit for purpose. This ensures that the data meets the requirements of business, regulations, standards, and data systems.

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