The VAASAN Group:

A leading bakery operator in Northern Europe is using analytics to enhance forecasting and inventory management.

© IBM Corp. 2014.

Big Data & Analytics in the Manufacturing Industry

In manufacturing, success depends on accurate forecasting.

The only way to satisfy customers is to accurately predict your demand.

Case Study:

The VAASAN Group

One of the leading bakery operators in Northern Europe was experiencing exponential growth.

The Challenge:

The Vassan Group struggled to accurately forecast fluctuating sales orders across the Nordic region. As a result, they couldn’t effectively plan their resource and production schedule.

The Vassan Group implemented a powerful intelligence solution that could identify trends in demand and generate a rolling sales forecast.

The S lution:

Solution Components:

IBM® Cognos® Controller

IBM Cognos® Intellegence

IBM Cognos 8® Planning

This solution helps the company predict production requirements and prepare for fluctuating orders.

The Vaasan Group gained the ability to rapidly respond to and fulfill 30% more orders.

They also achieved an on-time delivery target of

while reducing risk, by aligning materials, human resources, and production with customer demand.

Like The VASAAN Group, many other companies are using big data & analytics to monitor, predict and reduce risk.

IBM Big Data & Analytics can help you better understand and manage risk to gain a competitive advantage and increase performance.

Find a solution that works for your business.

Read the full case study

ibm.com/bigdata-and-analytics