Data Analytics
Recent research has uncovered workplace trends that demand leaders' focus and innovative strategies sooner rather than later.
Data analytics is now inundating human resources. But will HR focus on the right information?
Top-quartile business units have 50% higher revenue/sales than those in the bottom quartile.
The relationship between B2C customer engagement and organizational outcomes
To benefit from the performance advantages of predictive analytics, leaders require the right data, analysis and culture.
While predictive analytics and assessments can spot the right talent an organization needs, a company could lose sight of the bigger picture by not fully using data, by fixating on it too much or by overlooking potential pitfalls.
U.S. Leadership Loses Ground in Africa, Asia
U.S. Highest Rated of Major World Leaders
The different types of analytics an organization can use fall into three broad categories: descriptive, diagnostic and predictive. Each has value -- the key is getting your organization to understand how they are different and when to use each one.
This post is part of an ongoing series that explores how organizations can use data and analytics to drive performance outcomes.
Nearly every company is trying to get smarter about the way data is collected and evaluated. From gaining a better understanding of customer behavior to predicting the performance of new products to optimizing their workforce, most organizations are using advanced data analysis to inform their strategies and boost performance.