Minimal maintenance efforts from your end
Data-points and their documentation change as providers improve their hardware. Meanining you’d have to be constantly monitoring and managing multiple API upgrades and maintaining it’s structure on the backend.
Making data usable
Heart Rate Variability (HRV) or Resting Heart Rate (RHR) are example data outputs derived using different methodologies by different wearable sensor providers. To be able to ingest this in your application for data modeling or even display/charting purposes, you’d have to employ a data analyst’s team to untangle these methodologies and make ratios comparable and standardized.
Faster implementation time and smaller maintenance costs
Spike handles problems at all stages of data extraction. We update our callback processors to be up to standards for each wearable. While our retry manager does the job of networking so that you would only need to call the API without advanced logic implementation.