Phase 3 – Involving employees and maintaining data quality
The newly created, system-independent database is the foundation for countless new application options.
The challenge at this point is to preserve, maintain and further optimize this excellent data quality. This effort will only be successful if the intent and vision of the new data world is transparently and plausibly communicated to all stakeholders and everyone understands the need to remodel the data inventory.
This understanding is a prerequisite for successfully introducing the extensive new technologies and to significantly improve the company’s own market position.
Ideally, a separate working group, which should be located outside of the original IT unit, will take over the task of communicating about the project with employees. Proximity to the project work frequently distorts the original intent, which is essentially a complete paradigm shift based on converting the company’s data source to entities. Instead, communication should address the necessity of converting the database underlying the project.
Data quality: The new metric
Appeals to handle data carefully – even if they are provided together with information about improved performance capabilities – are frequently inadequate to preserve and further optimize the newly created data quality.
As a general rule, companies have to introduce new success metrics as a benchmark for quality and the expected level of data maintenance (for example, “data consistency”) in every employee’s area of responsibility.