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The Importance of Data Hubs for HR Tech Agility

June 19, 2019

When it comes to managing talent data for your business, you'll need HR technology.  And when you build that tech stack, it's best to go with a system that promotes maximum agility and lets you choose any options that meet your needs.  Enter the data hub!


Business agility is an organization's ability to effectively adapt to market changes and to rapidly respond to customer demands.  Same with HR Tech agility - it's the ability to adapt to the market, your organization and ever-shifting priorities, with ease.

You may want to use a chatbot that isn't yet connected to your core ATS - no problem, connect it with your hub.  You may have custom data that standard integrations don't support - no problem, solve that with your hub.  You might want to be able to see the structured data of your ATS with unstructured data from an AI tool - no problem, display it via your hub.   Data limits no longer constrain your HR tech agility. 

How can data management help with HR Tech agility? By providing a completely flexible platform and the ability to plug and play systems and data as rapidly as you need to - then use and see it all wherever you need to. Effective data hubs give users the ability to respond to changing circumstances - from stale data to testing out artificial intelligence.

Data Hub or Data Lake?  Have both!

Your company needs a place to store its talent data and you are thinking about using a data lake as a data repository. Because data lakes store data in its rawest form, they will always be useful.  Unstructured and structured data are combined, allowing flexibility. The pieces of data are organized without being altered by processing (although of course translations such as normalization do happen!). But when combined with data hubs, lack of analysis is no longer an issue. You get the best of both worlds.

How do data lakes fare in terms of agility? Well, because they are unstructured, they are more flexible. So you can configure the data according to the job you want it to do, while not necessarily using all the data everywhere.

How Hub +  Lake increases agility

When a data hub is layered over the data lake, the data is harmonized without changing raw data.  The data hub does any translation or filtering, the data lake simply keeps the data clean, curated and accessible.  That's how SwoopTalent works.

The use of artificial intelligence (AI) and machine learning can help manage large volumes of data, different types of data, and the speed at which new data is added. This technology can tailor a user's experience for ease of use, with no delays in giving them what they're looking for. 

Data hub systems facilitate business agility when used in conjunction with data lakes. This is because lakes allow flexibility while hubs support discovery, indexing, and analytics. Data is indexed in a harmonized form for easier access and more efficient analysis.

Solve your talent data management issues with SwoopTalent today. Contact us to request a demo.

Photo by Adi Goldstein on Unsplash 

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