PyCon is the largest annual gathering of the Python user community, a group to which Pandata enthusiastically belongs. Several members of Team Panda were able to participate in this year’s PyCon, conveniently held in Cleveland.[…]
Category: big data
Data Science as a Team Sport
By Hannah Arnson & Joseph Homrocky Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics,[…]
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[…]
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[…]
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[…]
Much Ado About Data in 2018
As we usher in 2018, organizations are faced with new challenges but also many of the same that come year after year. What we didn’t get to in 2017 still stares us in the face.[…]
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[…]
How A Good Data Strategy Can Help With Compliance – A GDPR Case Study
What is GDPR? GDPR or General Data Protection Regulation is a set of rules governing the use of personal data. It goes into effect on May 25th, 2018. In the EU, GDPR replaces a multitude[…]