THE BIG PICTURE
Data-Driven Organizations will Outperform Others
Becoming data-driven is no longer optional but a pivotal strategy for outperforming the competition. The organizations that will lead in an increasingly data-driven future recognize the value of:
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Data as an Asset: Recognizing the untapped potential within your data.
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Moving from Data to Action: Integrating technology, expertise, and a culture of innovation to translate insights into outcomes.
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Empowerment through Analytics: Cultivating an internal team equipped with self-service analytics can drive unstoppable progress.
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Expert Advice & Stewardship: There's no substitute to leveraging external expertise to accelerate the journey toward data-driven excellence.
WHO IS KLEER DATA?
We Are Your Data & Analytics Partner
We are a full service Data & Analytics consultancy whose team of data strategists, scientists, engineers and analysts works as an extension of your existing team. Our flexible, scalable approach allows us to help clients uncover valuable new insights in no time. While we serve many industries, we are deeply experienced and passionate about helping Healthcare organizations improve operations and patient outcomes by unlocking the value in their data.
HOW WE HELP
Empowering organizations through tailored data strategies:
INDUSTRY FOCUS
Transforming Healthcare Organizations Through Value-Based Analytics
We specialize in leveraging advanced data analytics and cutting-edge technology to transform healthcare organizations. Together with our consulting partners, our mission is to help providers improve the efficiency, effectiveness, and quality of care through innovative solutions in data management and performance improvement.
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Our Clients Speak Our Praises
"[Kleer Data] was instrumental in leading our enterprise adoption of Tableau across multiple hospital systems. They covered everything from establishing the right Tableau server architecture and management processes to providing insights and key Tableau dashboards for our surgical center. They even piloted some machine learning algorithms for predicting canceled cases and surgical case volume. "