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How to turn data into assets? Attracting data scientists

2020-11-06 20:07:14 xxxxxx

   How to turn data into assets ? Talent is crucial to the development of the company , Attracting data scientists , Provide flexible technology , Use data to drive business , The foundation for building a data driven company .

  1、 Building a data oriented culture

   Corporate culture doesn't inspire enthusiasm for new ways to use data , So it's going to be hard to turn data into assets . The key to creating a data-oriented culture is to have “ A team with the ability and curiosity to use data strategically . People understand how different data sources interact to solve business problems .

  2、 Providing interesting and influential work

   Every company needs data scientists , This leads to its shortage in the talent market . To meet this challenge , Data scientists also want what we all want : Interesting work with impact . What makes up interesting data ? The challenge of integrating unstructured data with unstructured data is of great interest to the scientific community .

  3、 Understand the rules

   Does everyone in the company understand how contracts and regulatory provisions accurately regulate the use of data ? If employees don't understand the limitations of data use , They may be too nervous to innovate . If the team doesn't have a thorough understanding of the proper use of the data , They either overuse the data , Or improper use of data , Or go to the other extreme , Do nothing with your hands and feet . Because the last thing to do is to build a data capability beyond the scope of the contract , Therefore, it is recommended to understand the contracts and regulations related to the data , And express it in a way that people can easily understand . Know that you are within the limits of the law , It's a huge driving force for innovation .

  4、 Find ways to get results quickly

   Get CEOs and executives to promote the importance of data , This is the basis for building a data-driven company , But if you can't consolidate support from the top by providing tangible results , Or as said “ Be the focus of the board , Then don't worry .

  5、 flexibility

   Culture needs data , And so are data scientists . The last thing to do is to unleash all the momentum by using data that is difficult to process . Data scientists in each of our industries have their own favorite tools and technologies , So we can't specify too much about our toolset . We're not locked into a particular database technology , It's about maintaining flexibility by working in a cloud environment .

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