Data fluency is a critical business capability, but in my experience working with many different organizations across a variety of sectors, it’s easier to tell the companies that aren’t data fluent from the ones that are. This post is written by QuantHub contributor, Jennifer R. Burnett, Ph.D, President of Caliber Talent Solutions. The necessity for organizations […]
The need to create a data driven organization has never been more important, and in more demand, than it is today. An increase in the demand and need for data is welcomed by organizational leaders who have already embraced data analytics as a practice and have a data driven culture. But for leaders and companies […]
“The short shelf life of skills and a tightening labor market are giving rise to a multitude of skill gaps. Businesses are fighting to stay ahead of the curve, trying to hold onto their best talent and struggling to fill key positions. Individuals are conscious of staying relevant in the age of automation.” – LinkedIn […]
Newsflash: Top notch Data Scientist skills are in shortage. No wonder. Burning Glass identified more than 300 core analytical skills relevant to the Data Science industry. Whether you are looking to hire a data scientist or want to become one of the best in the field, you need to know what Data Science skills are […]
In this two-part series, we’ll look at each side of the false positive and false negative coin, starting with false positives. We’ve observed that once a hiring manager gets burned with a bad data science hire, they begin to distrust the pre-employment skills testing and the overall interview process. Some even admit to becoming very very tough […]
Advanced analytics, data science, business intelligence, data analytics, machine learning, data mining, predictive analytics…these are terms that are tossed about in the world of big data and analytics, and often used interchangeably. It’s understandable. All of these practices are related, but, they are not the same thing. When we speak to companies about building advanced analytics […]
Not only is AI talent scarce; there’s also a shortage of employees who are knowledgeable about the applications of AI-powered tools. For some organizations, it makes sense to retrain existing employees and help them understand how new technologies apply in their respective organizations. – Sameer Maskey, CEO at Fusemachines Retraining employees in new skills is not a […]
Are you frustrated with the challenge of finding talented people who don’t require a lot of time and investment to develop in order to build your data science team? You’re not alone. Recently, at a machine learning conference, we met an executive from a well-known data-driven corporation who expressed to us his weariness from the ongoing […]
QuantHub is thrilled to announce our new strategic partnership with Invista, a leading talent assessment and wellbeing solutions provider. This new partnership allows our customers to take a holistic, data-driven approach to building world-class teams with enhanced data literacy skills. Combining InVista’s talent assessment and wellbeing solutions with QuantHub’s data skills assessments and upskilling platform, companies will have […]
A Guide for HR, L&D and Data Leaders looking to Create a Data Literacy Program Source: katemangostar Introduction Over the past several years, we’ve seen companies scrambling to hire teams of data scientists, data engineers, and data analysts in the race to become “data-driven”. Studies show that the return on these expensive hiring efforts has […]
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