Ques:
The IT team creates datasets, but business users say the data isn’t labeled clearly, or the KPIs don’t make sense in reports. How would you divide responsibilities between the technical and business layers to fix this issue?
Ans:
To resolve the concern between the IT Team dataset and business user reporting needs, we can divide the responsibilities between the technical layer and the business layer, thus creating a collaborative workflow for both of them.
– The IT team should own the technical layer tasks such as data integration, technical modelling, data cleansing, source system mapping, data security enforcement, and performance tuning.
This way, it will become easy to deliver the scalable, performant, and clean datasets without enforcing the business semantics.
– Then we should have a business team, which should own business layer tasks such as business modelling, semantic labelling, documentation, consumption modelling, KPI definitions, hierarchies, and drill downs.
– This way, they can create a user-friendly, self-service reporting business-aligned model.
Thus, this way we can fix the labelling and KPI issues, involving both the IT team and business users to define meaningful labels and KPIs
Is and semantic models and providing technical accuracy and data pipelines.
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