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Option No. 1: BI Platform as Semantic Tier<br />
• Design Principles:<br />
– <strong>Data</strong> scientist guild master<br />
specifies processes and<br />
i<strong>de</strong>ntifies objects<br />
– Business analyst journeyman<br />
utilizes and reuses objects<br />
– Architects work with BA<br />
Journeyman to "productionize"<br />
science<br />
– <strong>Data</strong> analyst master is on<br />
special projects<br />
• Benefits:<br />
– Familiar to users<br />
– Encourages discipline on<br />
business and data analysts<br />
– Free's up commitments from<br />
the data scientist<br />
• Risks:<br />
– Limits sharing data to BI<br />
export process<br />
– Challenging to add new BI<br />
and data discovery tools —<br />
must reinvent the mo<strong>de</strong>l<br />
"wheel" each time over<br />
all 3 SLAs<br />
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