Data Management, Quality and Governance
The different steps towards the data quality journey
Data quality is a journey, it doesn’t come in one day, and the focus should be more about improving data quality than having it right on day one. Having a data governance model, implementing testing for data quality are all things that help on this journey.
A more thorough approach looks at the different areas of planning, validation, cleansing, surfacing, and documentation of the various data objects.
Data Planning
Having a clear plan on what information and how it should be collected is the first step to be able to have a good data quality.
It is crucial within a data planning to define what to collect and where to collect it from, identifying the different sources of information.
Data layer: A data-layer is a software component that provides simplified access to data stored. It is often used to refer to a front-end component to integrated with GTM and external tags components.
Part of defining the data is to set up the attributes and event definition that we…
