Posts tagged analytics training
Three Steps for Creating the Analytics Dream Team

Building your team is hard work. Finding the right skills, the right personalities, the right types of motivation to build a team that works well together like a well-oiled machine… feels almost impossible at times. So what do you do? We at International Institute for Analytics (IIA) have been answering that question for our clients for as long as we can remember. In this blog, we are going to share three key strategies we have learned working with analytics teams of all sizes and maturity.

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Article Review: The New Job Description for Data Scientists

The New Job Description for Data Scientists, an InformationWeek article by Rich Wagner, outlines important trends about the future of data scientists and their role in analytics functions. This blog covers key takeaways from Wagner’s article and three recommendations for analytics leaders based on the trends discussed.

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Don't Mistake a Legacy Skillset for a Legacy Mindset

It goes without saying that the analytics and data science space is undergoing change at an unprecedented pace. At the same time, many organizations have a lot of people who are still working in the same way using the same skills they have had for years. Organizations certainly need to move beyond those legacy skillsets and the need for a skills update is real. However, I see many organizations assuming that those with legacy skillsets are no longer valuable and must be replaced. This is a mistake. There is a huge difference between a legacy skillset and a legacy mindset. The two are not the same!

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Keep Your Data Scientist... Send Me A Data Artist!

There is a lot of hype about the new position of “Data Scientist” (see January’s Fortune magazine). I am always happy for analytics professionals to get recognition and excitement about what we do and I’m not really hung up on what title is used. However, if you take the time to think about it, the roles and responsibilities of a data scientist are virtually identical to what analytics people have been doing for years - a fact that seems to get lost at times.

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