Data, as “stuff,” are the starting point for all decisions. They are the basis for the information that decision-makers need. The information is buried inside the data and must be extracted. Extractions are easy for small data sets; means, standard errors, proportions, and simple charts suffice. Large data sets, so-called Big Data, present challenges best met with sophisticated tools and methodologies. This is deep data analytics — the tools and methodologies used for analyzing big data
Data Analytics Corp. uses a range of tools appropriate for crossing the analytical bridge to extract rich information from big data as well as small data.
Deep data analysis is a complex process that is dynamic, not static. Dynamic means that you always: