The extract below is the justification for self-service analytics and BI as long as:-
- The domain experts are trained and knowledgeable about data and analytics
- The gap between Central IT AND Data Scientists & Analysts AND Domain experts is bridged
- Technology platforms join and leverage core systems of record and new cloud digital platforms
- Commitment across the whole organisation from front line ops to the CEO
In its much-quoted 2011 report on big data, the McKinsey Global Institute (MGI) quantified the coming shortage of data scientists (140,000 to 190,000 people with “deep analytical skills” in the U.S by 2018). Now they forecast that “millions of people” will be needed to serves as translator of the results of the work of data scientists to the rest of the organization. Similarly, Chris Brady, Mike Forde, and Simon Chadwick write in the Sloan Management Review “…it may be easier for domain experts, with deep knowledge of the business in which they are engaged and the requisite interpersonal skills, to obtain sufficient knowledge about data analysis to act as the translator for data scientists than for data scientists to gain enough knowledge about the domain, especially the language of that domain.”
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