Pandata Blog

AI design and development for high risk industries

Sifting Through the Noise: Data Science Buzzwords

Call it Machine Learning or Artificial Intelligence, the goal is to solve problems using data.  Solving problems using data is the driving force behind data science.  Everything else is just a weapon in our arsenal.  Yet, we see the buzzwords

The Buzz on Blockchain

Last month, I attended Cleveland’s inaugural Blockland Solutions conference with the goal of wrapping my head around blockchain. This technology has the promise of disrupting the internet with a variety of applications ranging from financial transactions to media and digital

Data Science as a Business Function

There is no doubt that data science is revolutionizing the business world and the companies that aren’t investing in it are being left behind.  With all the hype around the data scientist, with skills that span advanced mathematics, database manipulation, statistical

Pandata Case Study – Midwest Industrial Supply

Midwest Industrial Supply Case Study – September 26, 2018 Midwest Industrial Supply specializes in environmentally friendly dust control applications, operating out of a series of regional satellite offices. When pricing a new spray opportunity, the sales team is incentivized to

Data Ethics: The Role of Data Scientist as Cyber Steward

Facebook / Cambridge Analytics, the Equifax data breach, and political email hackings are just a few examples of the misuse of data and data ethics violations that are constantly making headlines. All except your most hardened hacker would agree that

Data Shaming: A Cautionary Tale for the Sales Organization

A large sales organization recently implemented an analytics strategy, with one of their critical metrics being lead conversion. The target number was set and reporting tools were put in place. Each sales team was scored on this metric, and the

Identifying Cyber Attacks with Deep Learning

Deep learning and cybersecurity As more critical decisions involve information systems and as software continually envelops the world, the security and integrity of our systems are more important than ever. This is especially true of systems that handle sensitive user

What is Data Science and Why Do You Need It?

The data revolution of the 2010’s is very similar to the IT revolution of the 1990’s. Just as the workforce required more computer literate professionals in the 90’s, today’s workforce increasingly calls for professionals that are comfortable making informed decisions