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Data Analytics

Explore Gallup's research.

Business Journal

Having data doesn't make your organization data-driven. Learn how using the right analytics positions HR leaders to create a data-driven culture.

by Vibhas Ratanjee

HR leaders play three roles in helping employees understand and live their organization's culture.

Business Journal

Mix quantitative and qualitative feedback from different stakeholders to fully understand your B2B customer relationships.

Business Journal

Understand your B2B customers on every level to create the most organic growth, especially during mergers and acquisitions.

Business Journal

Prioritize customers throughout M&As to avoid customer attrition and secure the new company's future.

Business Journal

Discover insights that can solve persistent problems and create long-term growth in your B2B business.

by Ed O'Boyle

With the right analytics and interventions, HR leaders can increase engagement and set themselves apart as influential strategists.

Business Journal

Learn how to optimize patient care and business outcomes in response to the powerful forces reshaping healthcare.

Business Journal

Recent research has uncovered workplace trends that demand leaders' focus and innovative strategies sooner rather than later.

Business Journal

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

Business Journal

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.

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.