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Advanced 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?

To succeed, McDonald's and other quick-service restaurants will have to overcome four major hurdles.

Predictive insights through advanced analytics for profitable decision-making.

To turn customer problems into engagement opportunities, companies need efficiency, empathy and ease.

When companies handle problems effectively, they can end up with higher customer engagement than before the problems occurred.

Per capita GDP has grown 1% per year from 2007 to 2015

Banks should implement five strategies to deliver seamless channel experiences for customers.

B2Bs need a sales strategy that is advisory, is tailored to each customer and provides valuable insights through analytics.

To benefit from the performance advantages of predictive analytics, leaders require the right data, analysis and culture.

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.

Change initiatives are rarely implemented effectively. A global financial services company succeeded by recognizing the critical role of front-line managers -- not "change" managers.