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Market Share Platform at Nutricia Netherlands

Market data prepared with one button, so the team can focus on analysis.

An automated pipeline pulls market data from each source, applies internal categories through Master Data Services and delivers a prepared dataset to Power BI.

Nutricia 2022

Sales & Marketing Pharma / Nutrition Market Share & Commercial Analytics
Market Share Platform at Nutricia Netherlands - automated pipeline for market analysis
Illustration from the case: many tools and files on one side, one structured market report on the other. Open full image

Challenge

Market data came from different sources, frequencies and levels of detail, and was reconciled manually each cycle.

Delivered

An algorithm and automated pipeline with a Master Data Service layer for user enrichment.

Enabled

The Marketing and Innovation team works with a prepared dataset in Power BI.

Challenge

Nutricia's Marketing and Innovation Department employees constantly analyze the market and the company's place in it - looking for niches for new products and opportunities to expand the presence of existing ones. Market data, however, came from different sources with different frequencies and levels of detail. Each cycle, employees spent significant time collecting and reconciling data manually before they could even start analyzing it. The team needed an analytical platform that takes the routine data-prep work off their plate.

Approach

We developed an algorithm and automated pipeline that lets users download and process all the required data "with one button". The pipeline pulls market data from each source on its own cadence, normalizes structures and granularities, and lands the data in a staging layer.

From staging, the data flows into a Master Data Service layer where users can enrich product and market-participant master data with internal categories and values used by the company. Once the user has finished enriching, the dataflow continues automatically to the final storage and on to Power BI - where the marketing and innovation team works with the prepared dataset.

  1. 01

    One-button load

    Users download and process all required data "with one button"; the pipeline pulls each source on its own cadence into staging.

  2. 02

    Enrich

    In the Master Data Service layer, users enrich product and market-participant master data with internal categories.

  3. 03

    Analyse

    The dataflow continues automatically to final storage and on to Power BI.

Outcomes

Qualitative project outcomes; no measured savings are claimed.

  • Marketing and Innovation team focuses on market analysis, not data preparation

  • "One-button" data refresh replacing multi-source manual collection

  • Internal product and market-participant categories applied consistently via MDS

  • Faster identification of niches for new products and growth opportunities for existing ones

  • Foundation for repeatable market share reporting across cycles

Informatica PowerCenter Python Linux pipeline SQL Server Master Data Services Power BI

Solution areas: Data Foundations ยท Data Products

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