Too Many Contingent Workforce Programs Rely on Guesswork
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.
Use Big Data to Move Confidently into the Future
Analyzing existing program data and past performance is a big step forward, but to engage in predictive workforce analysis, your will 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.