We help define the level data quality which should be in place across the application landscape. We then run a first analysis to uncover black spots and open up results for key stakeholders. Our cockpit regularly checks the state of data quality across the landscape. Focus, openness and automation combined helps drive improvements from within the organization each month. The benefits of this process are many, for instance:
The short answer is no. We help provide a template of approx. 20 data points which serves as a good starting point for setting up a company relevant data quality test. Each organization tend to have some specific focus areas which should be blended in. This could very well be data points supporting a current strategic companywide journey, for instance, simplification or digitalization.
Once data points are defined we set up access to data sources and secure that a monthly feed can be generated. We deploy our analytical components which for instance has functionality allowing drill down into “black spots”. In some situations, it can be relevant to have the tool mobile enabled to increase organization wide focus while the process is ongoing.
The tool provides an interactive view of the current data quality across units and domains, measuring both functional, technical and financial data points. It is set up to update on a fixed frequency, for instance weekly or monthly, and helps drive data quality forward form within the organization. Efforts for staff are limited as results are presented directly and ready to address
We recommend setting up an online factsheet pr. application/component which provides access to all relevant data points pr. application. This approach is valuable for the process of improving data quality, but it also delivers long term benefits beyond this process, for instance when ownership is transferred, revisions are done, governance oversight, documentation needs to be delivered internally or externally etc.
