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Pandata Blog

Pandata Blog

We tame wild data

Tag: data analytics

The Difficulty in Defining Artificial Intelligence

November 27, 2019December 10, 2019 Cal Al-Dhubaibanalytics

AI is one of the most widely talked about yet poorly understood terms in organizations. While over 50% of organizations considered AI a priority in 2019, 77% of organizations are failing to successfully adopt AI-enabled[…]

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The Power of One – Manufacturing Innovation and the IIoT

August 5, 2019September 27, 2019 Nicole PonstingleIIoT

You’ve started collecting some simple data in your plant and the missed opportunities are both frustrating and exciting. Your mind is racing with improvement opportunities here, optimizations there, and a huge profit at the end[…]

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Pandata Case Study – Midwest Industrial Supply

September 27, 2018September 27, 2018 Hannah Arnsonanalytics

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[…]

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Data Shaming: A Cautionary Tale for the Sales Organization

July 27, 2018July 27, 2018 Cal Al-Dhubaibanalytics

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[…]

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Using Data Science to Find Your Favorite Pint

August 4, 2017August 15, 2019 Nicole Ponstingleanalytics

Like any startup, we here at Pandata love doing team happy hours at our local watering holes. And like any residents of Cleveland – we have massive amounts of city pride. So when Nicole asked[…]

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What is Data Science and Why Do You Need It?

February 21, 2017August 28, 2018 Nicole Ponstingleanalytics

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[…]

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We are data scientists that help our clients derive value from data. We address data-driven challenges by using a holistic approach that combines people, process, and technology. We pride ourselves on being approachable and helping our clients become self-sufficient.

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