Pharma · Analytics ·

Multi-site clinical trials

Track recruitment, site activation and protocol milestone adherence across all your ongoing trials.

Illustrative preview of the SAP Analytics Cloud dashboard Multi-site clinical trials for the Pharma industry: metrics Patients enrolled, Trial retention rate, Cost per patient, Time to market, analyzed by Investigator site, Phase, Condition.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Patients enrolled
  • Trial retention rate
  • Cost per patient
  • Time to market

Analysis dimensions

  • Investigator site
  • Phase
  • Condition

About this template

Track recruitment, site activation and protocol milestone adherence across all your ongoing trials. Designed for teams in the Pharma industry, the model pre-wires 4 key metrics — including Patients enrolled and Trial retention rate — analyzable across 3 analysis axes (Investigator site, Phase, Condition). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Multi-site clinical trials into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Pharma industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Multi-site clinical trials" template for?

It provides a ready-to-use SAC structure to drive analytics in the Pharma industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Patients enrolled, Trial retention rate, Cost per patient, Time to market. Each is computed across the dimensions Investigator site, Phase, Condition.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.