HR analytics is the gathering, analyzing and reporting of data that surrounds the management of human resources. It is the method of getting a better understanding of the people within an organization and how well the human resources team is performing.
HR analytics is considered to be a systematic identification and analysis of the people drivers of any specific business outcomes. In layman's terms, that means that HR analytics measures the successes and failures of how well the company is performing when it comes to its employees.
Data plus analytics is the route to the truth
In a previous story , we looked at the importance for data analysis of avoiding bias and choosing the right metrics. In this follow-up we discuss the importance of confronting “analytical reality.”
Data analysis is supposed to replace hunches with facts. Brands don’t want to risk millions of campaign dollars on someone’s gut instinct. The marketer, ideally, has a goal, a clear threshold of success that must be crossed to achieve results. So how do you get there?
Cenegenics modernizes with Domo's embedded analytics suite | TechTarget
Cenegenics efficiently collects data to develop personalized health programs for its clients, but until recently, the performance health specialist's approach to disseminating data was far from efficient.
Rather than use modern data management and analytics technology to distribute data to its locations in real time, the nearly 25-year-old company did so in quarterly Microsoft Excel documents.
Property and Casualty Risks Faced by Data and Analytics Service Providers | Woodruff Sawyer - ...
With the explosive growth of data over the last decade, a new industry has emerged: data and analytics services.
This rise of data and analytics service providers has transformed the business landscape in multiple industries.
Data and analytics service providers face unique and complex casualty risks different from other types of businesses.
AI And Blockchain Analytics: The Urgent Need For Crypto Privacy Tools
As artificial intelligence and natural language processing are increasingly employed to analyze vast amounts of financial data, privacy concerns become more pressing than ever.
Several AI startups are developing tools related to blockchain analytics, leading to a new generation of analytics companies, such as Blocktrace, Arkham, and Nansen.
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