v backgroung orange red purple gradient

Both/And

Why Multiple Data Sources Lead To Better Labor Market Decisions

Read The Whitepaper

The Best Screwdriver in the World Won’t Help You Hammer a Nail.


Every labor market dataset has strengths—but none can do everything. A tool built to answer one kind of question will fail at another. Government surveys offer rigor and representativeness, but not speed. Job postings deliver real-time visibility into employer demand, but miss entire segments of the economy. Profiles give rich detail on individual workers’ skills and careers, but skew toward white-collar roles.

The lesson is simple: even the highest-quality dataset can be the wrong tool if you’re asking it to do the wrong job. Profiles can’t replace government statistics, and postings can’t tell you the depth of a local workforce. Data sources aren't interchangable, and none of them are perfect. That means you don't have to decide which one is best—you only have to know which one you need.

Triangulation: The Lightcast Approach


Big decisions—where to expand, who to hire, what skills to train for, how to build for the future—can’t rest on a single source. Government statistics give you context, postings show you competition, and profiles map the available talent. Together, they build a picture accurate enough to act on.


Lightcast maintains and develops all three sources, and benchmarks them against each other, because each fills gaps the others leave open. That means you don’t have to choose between timeliness, coverage, or detail. You get a comprehensive view of the labor market—one designed for action.

The Both/And Mindset


The labor market is too complex for any single dataset—public or private—to capture in full. The most effective strategy is to combine the best available sources, understand their limits, and match them to the decision at hand.


Both government statistics and private data have roles to play. Job postings, profiles, and official surveys are not rivals; they are collaborators. By using all the tools at their disposal, organizations can navigate uncertainty with greater confidence, detect changes sooner, and act with the best information available. That’s the Both/And mindset: not choosing between tools, but choosing the right combination to get the job done.

How do you know which data source to use, and how you can trust the ones you're using?