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Jun 12, 2020

What Data Democratization Looks Like in Colorado Tech

from Built in Colorado – June 11, 2020

The most important data tool an organization has is its people.

Data democratization only occurs when team members across the business are empowered with accessible, shared data that makes it easy for them to tailor analysis to their team’s respective needs and workflows. When stakeholders aren’t in sync, dashboards are clunky or employees aren’t trained on how to best leverage data, the wealth of information at a company’s disposal is rendered useless.

Once a company decides how to store its data, leaders must train their teams to analyze the information efficiently. For some Colorado companies, that means creating data teams and giving them the responsibility of owning maintenance and organization before opening data sources to the rest of the company. Data analysts and scientists — some of which are department-specific — build the highly accessible dashboards necessary for successful data democratization.

The following professionals leverage a diverse toolset, including analytics tools like Presto and data integration platforms such as CloverDX, as well as business intelligence platform Looker. These tools and integrations allow data teams to lay the groundwork for data-based collaboration across the entire business.

Mike Doerner
DIRECTOR OF DATA OPERATIONS AND ENGINEERING
Lumere, a GHX company

When it becomes more difficult for a company to scale its data infrastructure, building a team responsible for that goal can help. Director of Data Operations and Engineering Mike Doerner said that’s precisely what happened at healthtech company GHX.

What were the initial steps you took to break down data silos across your organization? 

We created a data operations team to own the intake, cleaning and classification of key data sources at scale. We also implemented data analytics roles across other teams in the organization such as product, services and finance. Empowering different teams with access to shared data sources enabled us to tailor any analysis to each team’s respective needs and workflows.

What are some of the tools used to integrate your data and make it more user-friendly?

Sisense for Cloud Data Teams is an analytics tool that allows our individual teams to query data for reporting and supporting workflows. It also supports the cross-team sharing of analytics dashboards. CloverDX is our extract, transform and load tool for many external data sources. We employ it to automate the intake and validation of data sets from our customers and other sources. Stitch is an integration tool that allows us to combine data from other sources like Salesforce with our internal data.

What’s a specific win one of your teams saw from having better access to data?

Our data operations team works closely with the medical device and pharmacy subject matter experts on our research team. We rely on their knowledge to accurately codify, classify and curate our data. Analysts on the data operations team created interactive, analytical dashboards that allow the research team to monitor trends and identify and investigate potential outliers.

This feedback loop improves our overall data quality on behalf of our customers. Most recently, the close collaboration between the research and data ops teams helped us more collaboratively partner with our parent company. We compiled a list of supplies that were at risk of shortage during COVID-19. We then provided complimentary evidence of alternate supplies to help health systems across the country better navigate the pandemic.

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