Greenwich.HR: Intelligent Data Analytics to Simplify Labor Market

Recruiting organizations face immense pressure to find and attract talent under the most challenging conditions. But they’re missing most of what’s happening in the labor market. For example, data on pay and hiring demand that is available from traditional sources is out of date, and is almost always not local. Very little intelligence is available about competitors’ hiring practices. Which means even the most savvy recruiting managers often resort to guesswork or anecdotes to make decisions, which impairs their effectiveness.

Our data platform provides the clearest view available on what is actually happening with local hiring and pay levels, how difficult or easy it is to attract the skills you’re looking for, and who is hiring the talent. Effective recruiting requires knowledge on local job market conditions, and increasingly, the competitiveness for talent varies significantly depending on the skills you are looking for. So, in order to close more hires faster, our recruiting clients use our data to inform local hiring and pay decisions, as well as broad sourcing strategies.

What are the unique features of your platform that differentiate it from other data solution players?

Our clients use our dataset to answer questions that they can’t use other data sources to solve. Our enormous scale allows the most advanced analyses and unlocks the fullest value from market intelligence and business intelligence.

Many companies have invested heavily in business intelligence and talent analytics teams. Our data platform was built to serve the needs of these teams, so we made it more powerful and easier to access than our competitors’ solutions.

We’ve included features that are ideal for today’s analytic teams. All data is visible at the ‘transaction level’, meaning our clients see data on every job we track. No data is masked, and there are no aggregated statistics. And, we handle things like normalizing titles and company names, and removing duplications, so our clients don’t have to waste their time on cleaning data before it can be useful.

We are the only solution that combines all metrics, including hiring time, pay, skills, job type, ZIP-level location, company name, and industry into a single data source. This integrated data structure means our clients are conducting the most sophisticated analyses, and allows them to most easily link our data set to other internal and external data sources.

Finally, our delivery approach makes it very easy for companies to integrate our data into their business intelligence environment without additional technology investments.

Can you provide some key features on how the company is positioned itself to assist clients in identifying their requirements and deliver solutions accordingly?

As we were forming Greenwich.HR, we listened deeply to many users of labor market data to understand their needs and pain points. And, we continue that approach. Our clients provide us wonderful input on new product opportunities. Since we’re delivering a data platform and not a single application, we are constantly expanding the ways clients can use our platform to unlock value. And, to address specific use-case opportunities, our growing number of business partners are brilliant innovators who deliver solutions that integrate our market intelligence into wider variety of valuable applications.

Looking ahead into the company’s future roadmap, how do you plan your expansion or any other new roll-outs in terms of solution or service offerings?

With an expert team in retrieving, analyzing, and delivering market data, we aspire to continue as the most powerful and comprehensive source of real-time labor market intelligence. We have strong and growing support in the market so, over the coming 12-18 months, we expect to continue to grow our client base and expand the number of industries we serve. From a product standpoint, we expect to extend our platform to include international data, and continue to integrate other types of market data.