Contingent workforce management (CWM) is not easy, especially in a global enterprise. You are engaging workers and contractors from a growing number of sources and the complexity will only increase.
With ever more data at our disposal, it is understandable that some CWM program managers feel overwhelmed by the idea of using metrics and analytics as a business tool. But what if you could get measurable results from data, without a lot of stress? Imagine harnessing Big Data and being able to analyze present and future labor requirements, segment your workforce, and gauge internal and external labor markets. How could the resulting business intelligence (BI) position your organization for success?
Few companies have the tools or the skills to perform the analysis needed to make sense of their existing workforce data: Which staffing suppliers provide qualified candidates fastest? Which categories of non-employee worker rate highest for performance quality? Do contractors operating on a time-and materials basis outperform fixed-price, statement of work (SOW) based contractors?
Beeline’s vendor management system (VMS) incorporates powerful visualization, analysis, and reporting tools to turn
this workforce data into actionable insight for making better workforce management decisions.
Analyzing existing program data and past performance is a big step forward, but to engage in
predictive workforce analysis, your need BI tools that can deal with Big Data such as Brightfield Strategies’ Talent Data Exchange
(TDX) contingent worker market rates, which are continuously updated and based on location, length of assignment, level of seniority, and other important variables.
Other applications of Big Data analysis include examining the factors that determine the most
successful candidates for contingent staffing assignments and comparisons of industry-wide job titles, job descriptions, and job skills and
competencies with hiring success rates in order to craft job descriptions to engage the best possible candidates.
Cases like these, involving myriad factors or huge data sets, are only solvable through the use of AI. That is why Beeline is advancing the use of data science and AI capabilities into our workforce analytics toolkit.
All these resources are available for you