Contemporary Analysis

Data Science

Nate Watson

Contemporary Analysis Awarded Small Business of the Month

Recently, Contemporary Analysis (CAN) was presented with the Greater Omaha Chamber’s Small Business of the Month award. It means a lot to be recognized for the hard work the team has done over the last year improving how companies start and scale data science internally.

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From the archives "Why Become a Data Scientist?"

Did you know CAN's blog is full of sound data science related advice dating back to the beginning of CAN? In case you didn't, we make it a habit to regularly re-post our favorites. What follows are reasons why you should consider becoming a data scientist. If it grabs you - check out the Omaha Data Science Academy. It might be the first step in your data science career.

 

Why Become a Data Scientist?

Bridget Lillethorup

A Celebration of CAN's Best Ideas

Contemporary Analysis 2017 ebook coming soon!

Bridget Lillethorup

The Advantage of Hiring an Hourly Data Scientist

Any person you hire for your team is an investment. You take careful steps to ensure their fit in the company. You go the extra mile to ensure their skills translate as perfectly as possible to the position you seek to be filled.

Grant Stanley

Insurance Premiums Relative to Health by State

The theory of insurance states that the healthier a population of people, the less they should pay in insurance premiums. Right? We built this dashboard to investigate: do healthier states pay less in insurance premiums? What we found is that average weighted monthly premiums depends less on how healthy a state is, and probably more on average cost of living, geography and political affiliation. What do you think? 

Grant Stanley

An Analytical Dashboard: Nebraska's Workforce

Creativity and innovation are the key for companies and countries to remain competitive. Technology has flattened access to resources and geography. Access to capital, equipment, and raw materials are no longer a competitive advantage. Geography offers few protections. The only true competitive advantage is in people—their connections and creativity.

The future of Nebraska's economy is dependent on the future of Nebraska's workforce. Given the importance, Contemporary Analysis decided to create an analytical dashboard of Nebraska's workforce. Learn more: download our Dashboard eBook. The dashboard allows you to explore Nebraska's Workforce from 1999 to 2012 by race, education and job types. It shows the distribution and trends for education and job types, and the correlation between job type and education.

 

Grant Stanley

Data Driven Decision Making & Camping

I was recently reminded of the importance of data driven decision making. I spent 6 days kayaking and backpacking in the wilderness on the US and Canada border. After living as a hyper connected technologist, disappearing into the backcountry was amazing and it lead to an unexpected realization.

Tadd Wood

A Happy Halloween depends on knowing where to Trick-or-Treat

Once again it’s that time of the year when kids and parents prepare to hit the streets of Omaha in their ghoulish best looking for the most candy they can find.

Grant Stanley

Exploring the New Frontiers with Data Science

At CAN we explore new frontiers with data science. Most of us think of our world as having already been explored. After all, the days of Magellan and Columbus are literally history, and today we can pull up Google Maps to view satellite and street-level images of every square mile of our planet within seconds. The generations before us sailed new seas, crossed continents and mapped lands that were completely foreign to them. Future generations will be exploring the cosmos and travelling to distant planets. And so it seems as if there aren’t any bold new frontiers for the explorers of our time, but that’s not true.

We live in the digital age, discovering new frontiers using computers, data and the Internet. This world is growing in complexity and we are venturing out to map it and settle it. According to Google’s Eric Schmidt, we now create as much new data in 2 days, as we did from the dawn of civilization up to 2003. We produce 5 exabytes of data every 2 days. (1 exabyte = 1000 petabytes = 1,000,000 terabytes)

This new landscape of data science can be as foreign and complex to many of us as the Great Plains were to the early settlers. Where do we begin? Where are we going and how do we get there? What resources do we have to gain from this bold, new world?

Grant Stanley

Is the US Economy Doomed to Stagnation?

I have listened to a lot of conversations about how we are worse off than our parents, how the United State's Economy is doomed, and how United State's position as a World Power is doomed. This month I had more conversations than usual about the Great Stagnation.

It is easy to get discouraged about the Great Stagnation. Is the sky falling? It might be, how would I know? Also, after a hard day it is attractive to think that the entire system is broke and we are all doomed to stagnation

However, In the back of my mind I knew things couldn't be stagnating. Infact, things are changing faster than ever. Confusion, ambiguity, fear and uncertainty are not the result of stagnation. They are emotions caused by rapid growth and new paradigms.

We have failed to realize that we now live in a world that looks like a 1970's Science Fiction Dystopia. Some people take advantage of the changes, others choose to ignore the change. The result is that we feel anxious, but are not sure why.

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