Alembic’s post-processing technology provides us with an advantage over other people with the same data. We normalize each data stream, process it, and remove the noise to create a very clean signal. That signal is analyzed for outliers (spikes). The outliers represent a material change. Each outlier is called a "detection"; detections are then correlated together to provide actionable insights into the customer’s data.
How is Alembic different from other companies with access to the same data?
