Holistic Data Analytics

Cahaba Safeguard spends more time up-front in the data analysis process, using a holistic, "outside-in" approach and regularly applying all algorithms and advanced analytical models to each scenario. This Cahaba Safeguard standard practice begins with all the available data and applies our mature analytical models in order to accurately narrow issues down to the highest-impact vulnerabilities. CSA’s advanced analytical approach is primarily machine driven which yields a cost efficient, highly effective methodology by driving down utilization of high dollar resources deployed later in the process. All the data sources are reviewed and no assumptions are made about what vulnerabilities will be found. Rather, our proven analytical models determine the vulnerabilities on which to focus.

Holistic Data Analytics at Cahaba Safeguard connects quantitative data, such as information on healthcare claims, with qualitative sources of information, like existing healthcare policies, to extract the vulnerabilities most likely to impact your organization. Our data analytics include both simple and complex statistical analysis and is supported by our state-of-the-art data warehouse.