Data Assembly, Query, and Preparation

The majority of time for an analysis project will likely be just getting the right data into a usable format. We can efficiently identify disparate sources of data, join them to a common database, query the relevant fields, and filter the appropriate observations. All data is dirty and requires additional pre-processing to create transformed variables as well as to identify and correct anomalies such as missing values and outliers. Adsurgo services can use traditional Structured Query Language type methods or new more efficient methods associated with Big Data across the spectrum of industries.