What is Data Analytics
A Progressive Approach to Superior Healthcare Outcomes
Healthcare EvolutionRoadmap
What is Data Analytics
Data analytics is the process of examining raw data to uncover patterns, trends, and insights required to make informed decisions. Typically our clients are “software enabled” and are generating more information than could ever be organized or crunched with spreadsheets - software, cerebral design, and advanced methods are required. Data analytics work begins with raw information collection and reporting, and in its fully-fledged state is a key shaper of strategic roadmaps across all departments
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Data Analytics - What is it?What is Data Infrastructure
Data infrastructure is the tools and systems that allow organizations to collect, store, manage, process, access, and serve data. Plug-and-play data infrastructure vendors have multiplied in recent years, but specialist engineers are still required for more advanced/custom requirements, complex vendor implementation, and bridging gaps with SWE.
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Data InfrastructureWhat is AI
What is AI
What is AI
AI (Artificial Intelligence) is a technology that enables machines to mimic human intelligence, allowing them to perform tasks like understanding language, recognizing images, or making decisions. Machine Learning is an older but more mature subset of AI - when its capabilities are sufficient for a problem, ML is more straightforward, definite, quick to develop, and supported by tools/vendors/automations.
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Practical AIAggressively Mitigate Risk
Data teams should be a strong partner in managing large medical risks, representing Clinical to Product/SWE and building risk measurement reporting and alerting by any means necessary. Advanced methods (ex: language processing) may be justified from early on.
Quality Care at Scale
Make sure that all clinical procedures are being followed, that patient cases are properly managed across handoffs, and that health outcomes meet expectations.
Delight patients, providers, and admins
Use machine intelligence to lower barriers both to requesting help and to giving it.
Excel
By chipping away at critical opportunities, achieve a superior healthcare experience to what’s generally available.

Case Study:
Incline3
Dandy Data went from 0->35 in 1.5 years, though most client teams follow a more modulated trajectory...
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Case Study:
Incline2
Flatiron has a number of partnership models, including fully embedding our teams into a company or seeding the company’s data team...
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Case Study:
Incline
We’ve built industry-leading functions from scratch at top-tier unicorns (Ro, Dandy) in record time...
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