Læs hvordan Chr Hansen med en Windows Azure HD Insight løsning har opnået øget konkurrence evne ved at kunne bearbejde betydelige mængder af data

1. “Now, with HDInsight Service, we can use data that is
produced by our automated equipment. We can save
time processing the information and spend more time
interpreting it. Microsoft Big Data technology is the
perfect solution for the new challenges we face.”
Morten Meldgaard, Project Director, Chr. Hansen
Chr. Hansen, a leading developer of natural ingredients for
several industries, wanted better access to data from multiple
sources, including automated laboratory equipment, sensors,
and databases. To ease research, the company implemented a
hybrid cloud solution based on Windows Azure HDInsight
Service. As a result, Chr. Hansen can easily collect and process
data from 100 times more trials than previously. And by
extending its on-premises infrastructure to the cloud, the
company implemented an Apache Hadoop cluster in less than a
week and gained more flexibility with minimal infrastructure
investment.
Business Needs
Chr. Hansen is a global provider of natural
ingredients such as cultures and enzymes
for the food, pharmaceutical, nutritional,
and agricultural industries. With 2,300
employees in 30 countries, the company’s
operations include multiple product
development centers. To develop
innovative products for a global customer
base, Chr. Hansen continuously looks for
new ways to work with data as well as
ingredients.
Over the years, Chr. Hansen had
increasingly automated its laboratory
processes to improve efficiency and
accuracy. In addition to improving
operations, the automated equipment—
including robots, temperature sensors, and
other devices—produced a growing
volume of complex data.
In 2010, Chr. Hansen replaced paper
notebooks with electronic laboratory
Danish Research-Based Firm Unlocks Data from
Multiple Sources with Hybrid Cloud
Customer: Chr. Hansen
Website: www.chr-hansen.com
Customer Size: 33 employees
Country or Region: Denmark
Industry: Professional services—
Bioengineering
Partner: Platon
Partner Website: www.platon.net
Customer Profile
Based in Hørsholm, Denmark, Chr.
Hansen develops natural ingredients for
multiple industries worldwide, including
food, pharmaceutical, and agricultural
companies.
Software and Services
 Windows Azure platform
− Windows Azure HDInsight Service
 Windows Server Product Portfolio
− Microsoft SQL Server 2012
Enterprise
 Technologies
− Microsoft SQL Server 2012 Analysis
Services
− Microsoft SQL Server 2012
PowerPivot for Excel
− Microsoft SQL Server 2012
Reporting Services
For more information about other
Microsoft customer successes, please visit:
www.microsoft.com/casestudies

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This case study is for informational purposes only.
MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.
Document published October 2013
notebooks (ELN), which improved its ability
to find and share data. However, the
company still lacked an efficient way to
capture, process, and make data available
for use in diverse contexts. Moreover,
manually collecting and analyzing the data
in spreadsheets was a labor-intensive, time-
consuming project. Morten Meldgaard,
Project Director at Chr. Hansen, says, “We
wanted to be able to look for patterns in
large amounts of data that would help us
examine factors ranging from the gene
composition of our bacteria to the way it
behaves in yogurt.”
Chr. Hansen also sought to eliminate
information silos so that it could facilitate
scientific inquiry across disciplines.
However, to meet diverse research needs,
the company required a flexible solution
that could store data in an unstructured
format instead of a predefined schema.
Solution
Chr. Hansen asked Platon, a Microsoft
partner with a gold competency in business
intelligence, to help implement a Big Data
solution based on Microsoft SQL Server
2012 Enterprise software running on-
premises and Windows Azure HDInsight
Service running on the Windows Azure
platform. With a hybrid cloud deployment,
the company would be able to augment its
existing infrastructure with the distributed-
processing power of an Apache Hadoop
cluster.
In June 2013, Platon and Chr. Hansen began
a pilot project that would process data from
ELNs with HDInsight Service. Platon created
a loosely defined data model in HDInsight
Service that could be worked with using
tools such as Microsoft Excel spreadsheet
software and MATLAB programs. The
researchers use MATLAB programs for
advanced analysis, and they also take
advantage of SQL Server 2012 PowerPivot
for Excel and SQL Server 2012 Analysis
Services to combine data from multiple
experiments. The company looks forward to
directly integrating HDInsight Service with
its laboratory equipment, including sensors
and robotics systems.
Benefits
With a Big Data solution based on a
Microsoft hybrid cloud deployment, Chr.
Hansen is maximizing its information
assets and improving daily operations
while opening the door to future
innovation. Other benefits include rapid,
affordable implementation and increased
flexibility.
Optimizes R&D Operations
Chr. Hansen is already seeing
opportunities to improve daily operations.
For example, instead of running
experiments with yogurt cultures in three-
liter containers, the company can now
work with data collected from robots that
handle much smaller, milliliter-sized
samples. Meldgaard says, “By taking
advantage of HDInsight Service, we can
easily collect and process data from 100
times more trials, and look at more
detailed information as a result, including
chemical composition, physical properties,
and sensor data.”
Maximizes Information Assets
Data is now more accessible with a flexible,
hybrid cloud solution. “We needed to set
data free,” explains Meldgaard. ”With
HDInsight Service, we can realize the full
value potential of our scientific data. We
can save time processing the information
and spend more time interpreting it.
Microsoft Big Data technology is the
perfect solution for the new challenges we
face.”
And by bringing together structured and
unstructured data from multiple sources,
Chr. Hansen looks forward to future
innovation. “For example, if a lunchtime
discussion sparks an idea about correlating
different types of data, researchers can go
back to the lab and immediately begin the
analysis,” says Meldgaard. “This solution
enables us to rethink the way we work with
data so that we can get the most value
from it.”
Speeds Access to Big Data While
Controlling Costs
By using cloud services, Chr. Hansen was
able to quickly expand the capabilities of
its existing, on-premises IT environment
without investing in further training or
infrastructure. “If we’d had to purchase
servers, storage devices, and software, and
install it all in-house, it would have been a
very different and a much more long-term
project,” Meldgaard points out. “It was
simply so much faster to do this in the
cloud with Windows Azure. We were able
to implement the solution and start
working with data in less than a week.”
Increases Flexibility and Scalability
Now, instead of working within the
limitations of its IT infrastructure, Chr.
Hansen can easily adapt technology to
meet its own changing requirements.
“One of the benefits we’ve seen with a
hybrid cloud solution based on Windows
Azure is that we’re much more flexible,”
says Meldgaard. “According to our daily
needs, we can scale up or down if we need
more storage or processing power. This
solution has huge potential to be used not
only in R&D, but also in areas such as
production and finance.”