Software & Reporting

AAP Software - HR Action


Affirmative Action Plan Software

From the creators of the most powerful salary equity tool on the market, DCI is proud to announce the release of the next generation in Affirmative Action software: HR Action™. HR Action™ incorporates the latest technology to assist companies in developing and streamlining their Affirmative Action process; as a result, HR Action™ guarantees an average of 75% reduction in time generating and reporting Affirmative Action Plans.  Gone are the days of laboring over multiple plans and printing thousands of reports. With HR Action™, simply import one dataset, create multiple plans and then publish the results of the plan to a secure intranet site in PDF or Excel.

Additional features available with HR Action™:

  • Utilizes both 2000 and 2010 census data
  • Management Summaries
    • Executive Summary for Each AAP
    • Global Summary in MS Excel for all AAPs
  • High Volume Processing
    • Ability to Generate Hundreds or Thousands of AAPs
    • Can Easily Process Millions of Applicant Records
  • Conducts establishment, functional or roll up plans
  • Advanced adverse impact reporting
  • Detailed goal attainment reports


DCI Announces Strategic Partnership with Savina Consulting

September 8, 2015 – Washington, DC

DCI Consulting Group, a leading HR risk management firm, announces a strategic partnership with Savina Consulting, an expert litigation support firm, to provide seamless EEO litigation support and expert witness services to current and new clients.

See the full Press Release here.

Recent Blog Posts

Minuscule Shortfalls: When Statistical Significance Alone Falls Short

We have written several blogs (e.g., regarding the recent Apsley v. Boeing case) discussing the influence of sample size on the likelihood of observing statistically significant indicators in adverse impact analyses. As covered in those blogs, the larger the samples being analyzed, the higher the likelihood of observing statistically significant indicators of protected class subgroup differences, regardless of how different the pass rates are in practical terms. However, even in cases of small sample sizes, the differences between protected class subgroups may be statistically significant, and it is equally important (as it is with large samples) to evaluate the practical significance of the difference. In the following paragraphs, we discuss interpreting analysis results based on small

Read More