Stop Searching for That Elusive Data Scientist
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The document discusses finding data scientists for organizations. It recommends that organizations find people within who have basic logical and data skills, rather than trying to hire "unicorns". It also suggests that organizations form small, cross-functional teams focused on delivering measurable benefits from data in short periods to build data capabilities. These teams may be less skilled than a single data scientist but learn from each other and show what can be achieved with data. The document stresses the importance of understanding data science principles to ask the right questions of data and help managers predict outcomes.
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Stop Searching for That Elusive Data Scientist
- 4. For many organizations, a mediocre data scientist may be worse than none at all.
- 5. Stop hunting for the data science unicorn
- 6. • The problem is that we tend to assume that all data science is the same. It’s not. • We should find out such a person in our organization who has some basic logical ideas and knows how and where to use data in proper manner.
- 7. The smartest thing the organizations start doing is seed- fund.
- 8. They empower small cross-functional data- oriented teams explicitly charged with delivering tangible and measurable data- driven benefits in relatively short periods of time. Start small, go big
- 9. • The emphasis is on building greater data capability than better digital infrastructures. • The goal is to make all of the organization do hard work on data analysis.
- 10. It may be that the typical team was collectively less skilled and competent than a typical data scientist. But that collective team learned from each other and sent a message to the rest of the organization that even baby steps in analytics could yield large strides in outcome. Perks of having a good team
- 11. Just understand and appreciate the key principles and practices of data science. All you need to do is..
- 13. To predict the outcomes based on the data provided.
- 14. It will help a manager to learn to ask the right questions, otherwise data is dumb.