Readiness of Data Pipelines
Data Pipelines source the raw data internally and externally for the Information Factory to build the Information Bricks requested by the business domains. The maturity of the Data Pipelines thereby needs to be assessed in regards to its ability to deliver on the requested Information Bricks (e.g., not assessing data quality in an abstract way, but in light of which aspects of the data need which quality for the specific business purpose). Thereby, the Data Pipelines are assessed along 4 criteria: 1) The quality of the data, 2) the compatibility of the data, 3) to which degree data owners assume their responsibility, and 4) to which degree business KPIs are standardized across the organisation to speak the same language.
:: Assessing the quality of data in light of the requirements of the Information Bricks requested by business domains.
21% as data quality score is rather low. There is much scepticism from the business side that the data has sufficient quality to be leveraged.
Data Quality Score
:: Assessing to which degree the same data from various domain areas are compatible to be leveraged together.
64% as data compatibility score shows an area that could become a strength within X.
Data Compatibility Score
:: Assessing to which degree internal data owners managing their data responsibly.
40% as data ownership score sends an alarming signal that people owning data do not treat data with sufficient care to make it accessible to others.
Data Ownership Score
:: Assessing to which degree KPIs are standardised across the organisation.
41% as KPI standardisation score raises the need to align on how to steer the company in order to harmonise approaches and value logics leading to a higher compatibility of use case approaches and framing of data.
KPI Standardisation Score
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