Current methods for customized data
analysis and stakeholder reporting via programming, such as clinical study reports, are mostly using individual “brute
force” approaches and have little breakthrough for the last 30 years. Under the
traditional technical framework, programmers are wasting lots of recurrent
efforts on supportive jobs like shell layout & format coding and associated
debug, QC, modify, manual edits, and trainings. It makes the programmers
reluctant to iterate with report stakeholders for changes, leads to highly
fragmented practices, and is very difficult to collaborate.
RepTik Analytics Solution provides a
new interoperable iteration framework, which we called
Presentation Data Referencing (PDR) technology, to address the multiple pain points in one go. It helps data analysts and programmers, for the first time,
thoroughly eliminate tedious shell layout & format programming of tables and reports across SAS, R, Python, MATLAB, and SQL, etc., iterate with stakeholders at ease, and harmonize their siloed workflows. Our multi-platform interoperable PDR technology can boost the productivity, collaboration, and interoperability for analysis & reporting across different programming platforms, analysis workflows, and report file types.
Swiss innovation, global patents protection.
