We provide the full suite of custom analytics, data visualization,
and information exploration services.
We provide custom consultation through our experts to help our customers validate roadmaps, provide a second opinion on business analytics transactions, and augment staff knowledge with additional expertise areas. These services are used by our customers for everything from validation of architectural roadmaps and systems implementation plans to recommendations on analytics products and purchases.
Similar to our shiny and R services, we also develop enterprise-scale microservices and robust Python packages to meet our customers’ custom analytics or scaled delivery needs. This includes the creation of scaled internal platforms and distributable Python packages that utilize refined data sets and models from R-based teams.
Curriculum development assistance and training delivery for common Analytics and Big Data Tools, techniques, and related topics. We also train teams on architectural concepts, programming, agile methodologies, serverless deployments, micro-services and more.
Custom full-stack implementations of technologies to meet our customers’ analytics value realization goals. We focus on asking the right questions to build the right system for our customers’ current and future needs in the most cost-effective manner. We work with customer teams, or provide our own, and can also help migrate or integrate legacy systems as needed into solutions. We choose the technologies that are right for the job, ensuring not only that they serve our customers’ analytics needs, but that our customers can continue to realize the solution implementation’s full potential moving forward from maintenance, cost-effectiveness, and growth standpoints. These implementations are on-site, in the cloud, or hybrid, and can range from back-end micro-services to full-stack including custom user interfaces.
We develop enterprise-scale robust shiny applications and R packages to meet a variety of custom analytics and deployment needs. We listen carefully to the needs of end-users, administrators, developers, and scientists to formulate robust, enterprise-deployable shiny applications that scale and can handle big-data visualization needs. We also develop and maintain robust R packages both public and private for our customers to continue to meet the scalability, flexibility, visualization, and performance of ever-expanding data in shiny applications.