Posts By Matthew Albucher

Applying Clustering to Streamline Data Analysis

The practical applications of clustering are vast. With the ability to identify groups in the data based on their shared characteristics, future customers, employees and stakeholders can be marketed and delivered products and services that are most likely to be pertinent to their specific needs.

STEM vs Humanities: Why Both are Needed for Analytics

A national conversation is continuing to brew over whether Science, Technology, Engineering, and Math (STEM) skills should be emphasized in schools and universities over humanities and liberal arts education. Several recent studies have found that the perceived higher marketplace value of STEM skills has led to a drop in the percentage of students pursuing humanitiesRead… Read more »

A Customer’s View on How Data Dashboards Enhance Decision-Making

Data visualization software can help data analysts more efficiently distill and communicate pertinent information to their customers. Likewise, the customization available in many data visualization packages enables consumers of data to more easily obtain and sort through the information they need. In a previous blog post, I explored how the U.S. General Services Administration isRead… Read more »

Statistical Spot Checks for Your Agency’s Diversity Profile

Maintaining a diverse federal workforce and eliminating barriers to equal employment opportunity are not only required practices for federal agencies under the Equal Employment Opportunity Commission’s Management Directive 715, but are also crucial to encouraging a more effective and creative workforce with less internal strife. The private sector is now investing heavily in diversity programsRead… Read more »

Harness the Power of Unstructured HR Data with Text Analytics

Federal HR professionals with access to electronic employee databases typically have access to a wealth of so-called “structured” employee data, or information that can be quickly counted and analyzed in spreadsheet programs to create pivot tables and reports. Examples of structured HR data include employee salary and demographic information and employee survey responses, all ofRead… Read more »

5 Questions to Ask Departing Federal Employees

Last week, I explored how federal agencies can use HR data to build predictive models to evaluate and reduce costly employee turnover. An article published in Business Insider this month described how HR software company Workday built an app to help employers do just that. Workday claims its software can not only predict who isRead… Read more »