Building Internal Data Science Teams and Competency

The digital transformation taking place as companies push for greater competitiveness has focused many organizations on the importance of building strong data analytics and data science capabilities. However, many, if not the majority of organizations are struggling to recruit and retain specialized data scientists with robust business and IT skill sets. As these organizations look to build their data science competency, the scarcity of skilled data scientists is making it difficult to hire individuals to build a meaningful data analytics capability. Outsourcing data science is always an option, but that can be costly. Worse, the specialized knowledge the data scientists develop during their consultation is lost due to poor integration of knowledge transfer within the engagement life cycle. A hybrid approach of external assistance and internal development is a sound…


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