Building an enterprise analytics team isn't just about competing for talent. The team that leads a big data analytics initiative needs to include the right mix of technical skills -- experience with data management and development of algorithms, models and applications -- as well as what we call soft skills, such as industry experience and the ability to communicate with business unit leaders. Don't forget issues like identifying leaders, and rewarding and retaining your analytics talent in a competitive environment.
Manav Misra, who leads a 70-person analytics team at Internet service provider CenturyLink, joins All Analytics Radio to share his experiences and his advice with the A2 community. Misra understands that the statistician, the visualization expert, and the Hadoop specialist bring different but vital talents to a team, and that the skills mix can vary from company to company.
About recruiting analytics team members, whether they are fresh from college or bring 30 years of data-focused experience, at a time when it seems that every company is searching for the same talent
How to identify the right mix of skills and experiences for your own organization
How factors such as corporate demands for big data apps, tight cybersecurity and the evolution of the Internet of Things raise the bar for the analytics team
How you can motivate, reward, and retain data science talent
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