We are seasoned, platform-independent Analytics and Data Science professionals with backgrounds covering a broad range of disciplines. We create Strategic Management plans with the leadership of the organization to most efficiently produce low cost Advanced Analytics Production System. We coach users in exploiting, building the tools to sustain the gains. We demonstrate in tandem with the client, to ensure ingestion to Predictive Modeling pipeline is stood up with complete Data Governance in place. Actionable Insights bring life to your Good Data. If not in place, we deploy customized Business Intelligence workflows – through existing R, SAS or Python environments or hybrids with or without Cloud services. Data Science and Advanced Analytics services are customized to build the functional and enduring analytics system that delivers value for you with Business Process Improved.
Strategic management of Data Science and Analytics Production System requires careful planning in order to launch production of the entire pipeline: Applied Statistics Studies, Data mining, Forecasting, Predicting and related consumable measures and data affect users, which changes business processes. Internal User experience in the modeling framework as with any production system is critical.
We provide tests using R, SAS, or Python code to simulate or evaluate the key predictive modeling solutions and visualizations for consumers.
Although we have 20+ years of SAS development tenure, we develop prototypes using R or Python where needed to explore the best solution(s). We explore using supervised and unsupervised learning methods, with over 10 years of experience in Data Mining for prediction and diagnostics. Deep Learning is used where necessary, and if labeling is not available, we customize various Generalized and Additive or Semi-parametric models to close the gap(s) where sample size is spare, thus bridging methods. Machine Learning using “Big Data” or computationally expensive methods on the Stack are managed, albeit volume of Supply Chain, Hospital, Manufacturing, Patient (Member) are massive. Where missing or dirty data persist, robust methods of imputation follow best practices.
Unlike some Data Science groups, AEO Analytics holds decades of classical Statistical Sciences background and an extensive broad Strategic Management foundation from advisors. Additional Data Science tenure in applied mathematics and statistical theory approach special cases that are unique to your corner of the industry, and not ignored.
Where commercial application platforms are not justified, customized tools can be developed to achieve the best ROI. However, Security and Data Governance procedures are built into our methods with no exceptions. We coach users to close the loop and sustain the gains via explicit transfer of knowledge.
A partial list of methods include:
SAS BASE, SAS Macros, R
Visual Analytics, Tableau
SAS Enterprise Guide
SAS Visual Forecast
Statistical Models
Financial Credit Risk
Time Series Forecasting via SAS ETS
Nonlinear, Generalized Linear Models
Hierarchical Models
Multivariate Time Series Forecasting
Marketing Campaign Design and Analytics
Healthcare and Pharmaceuticals Marketing Analytics
Campaign Design, Evaluation and Segmentation Analytics
