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Starting up: Crosschq helps TA teams check references and make decisions based on ‘quality of hire’

HR Brew

Crosschq was originally designed as a tool to disrupt the reference check, taking a time-consuming process that often yields incomplete insights and turning it into a “pre-hire 360.” How does Crosschq “disrupt” the reference check process? And Crosschq has expanded its offerings beyond the reference check?

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Is Data Security A Priority for Your Workplace Equity Provider?

Trusaic

Cyberattacks continue to rise, increasing the need for robust data security. If you are partnering with a workplace equity software provider, you must be confident that your data is secure. Choose a vendor that adopts best practices in data security, supported by robust technology and certifications.

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Data-driven business decisions: the foundation for growth

Workable

Data is all the rage these days, with storage expected to reach 175 zettabytes by 2025. That’s according to Deloitte , and emphasized by Avinash Tripathi , a leading figure in analytics who has observed that explosion of data throughout his long career. In short, we’re going data-first. That’s an absolute lot.

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Overcoming the Challenges of Getting Clean Data

Visier

Algorithms are only as powerful as the data they analyze. That’s why “dirty data”–data that’s inaccurate, incomplete, or inconsistent–is a major concern for people analytics and data science teams. But achieving clean and consistent data is no simple matter. What causes dirty data?

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Dice 2018 Recruitment Automation Report

Artificial intelligence (AI) and machine learning (ML) technologies are rapidly changing the way many recruit and hire talent. Read Dice's first-ever Recruitment Automation Report to discover how you can employ new, cutting-edge technologies to source and hire tech talent faster.

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How to become a data integrity success story

Bullhorn Blog

Data integrity has become critical to success in today’s binary world, where the sum of your organizational knowledge is represented in zeroes and ones. What are the reasons for bad data, the dangers of it, and the perks of doing it right? What are the reasons for bad data, the dangers of it, and the perks of doing it right?

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How to become a data integrity success story

Bullhorn Blog

Data integrity has become critical to success in today’s binary world, where the sum of your organizational knowledge is represented in zeroes and ones. What are the reasons for bad data, the dangers of it, and the perks of doing it right? What are the reasons for bad data, the dangers of it, and the perks of doing it right?

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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.