Serial Metrics was founded in 2010 on the idea that successfully leveraging the value of “big data” requires a combined technical expertise, which includes information retrieval, machine learning, text and structured data mining as well as advanced analytics.
Our team includes engineers and statisticians that jointly mine large datasets, surface key insights, formulate mathematical expressions, and transform our deep understanding of your data into learning algorithms and applications.
1. Upload Data
Upload your dataset. Our systems cleanse, normalize, and structure your data, and can even can categorize blobs of text, such as Facebook, or Twitter posts, based on the content of the message!
2. Define Objective
You describe the business problem and we define a mathematical objective. Determining, precisely, what problem needs solving early in the analysis process is critical to achieving desired results.
3. Data Processing
After obtaining a dataset, we apply statistical routines to derive predictive models, and then iterate on results until the model achieves maximal predictive value.
4. API Development
Once a model is developed and its predictive value yields measurable value, we proceed to deploy the model to a production environment, by way of a custom API, which we develop as a "wrapper" around the predictive model. In short, your systems send us data, and we send you an answer.