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Sobi increase efficiencies & gain better insights into key forecast drivers with Power BI

Healthcare
Predictive Analytics
Power BI
“The process has introduced dynamic Power BI reports for alignment on key outputs / metrics and highlights more insights into key forecast drivers”
Sobi
Sobi logo

About the Project

The Company

Sobi is a global Biopharmaceutical company, which prides itself on transforming the lives of people with rare diseases. With over 1,600 employees working across 30 countries, Sobi specializes in providing innovative treatments in the areas of hematology, immunology, and specialty care.

The Challenge

The Requirements

Automated Reporting - Simplified and automated report capabilities – With the ability to change the currency during analysis

Data Visualization - Easier comparison of key assumptions / output across countries (to enable focused review discussions)

Off-Line Usage - Ability for forecasters to utilize the forecasting tools off-line

Restricted Data Access - Users can only see the data relevant to their region / country and / or products

"Through the adoption of the solution developed with Rockhop’s support, for Sobi’s long range planning forecast for on-market assets, the process has introduced dynamic Power BI reports for alignment on key outputs / metrics and highlights more insights into key forecast drivers.”

The Solution

Rockhop started by creating a consolidated data tool, which combined the data from various excel forecasts with different structures and formats – once this was established, we were able to create a custom Power BI dashboard for Sobi which detailed 11 key products and has the ability to add further products when required.

The Results

Better data and forecast consistency / transparency – creation of a single source of information, which is comparable across regions through the adoption of a consistent forecasting structure for each product

Improved efficiency – data is accessed by many users during the course of the year, a simple Power BI dashboard has decentralized some key data / assumptions allowing business users to identify insights for their own questions (as opposed to requesting data from a small number of central users)

Clean data - clean, crisp data visualizations detailing; market share, product, volume, and revenue forecasts

Pre-filed assumptions - Pre-filled data assumptions / forecast logic with 10-year forecasting period

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