CASE STUDY

Anaconda +Danske Bank

Centralizing Secure, One-Stop Access toOpen-Source Software Across the Enterprise
Headquartered in Denmark’s capital city of Copenhagen,Danske Bank is a multinational banking and financial
services corporation that offers advisory services andsolutions for individuals, families, and organizations.
The bank’s mission is to unlock the potential in people
and businesses by using the power of finance to create
sustainable progress for generations to come.
With over 22,300 employees serving more than fivemillion personal and business customers across eightcountries, Danske Bank wanted to bring the powerand collective intelligence of community-supported
open-source software to its IT operations professionals,
software architects, data scientists, and product owners.

BANKING AND FINANCIAL SERVICES• 42.5 billion DKK(5.9 billion USD) in revenue• 90 production models• 5 million customers in 8 countries• 22,300 employees

CHALLENGES• Lack of control over data science
operations and processes• One-off installations of data science
tools and libraries• Difficulty making changes to code

SOLUTION

Giving Practitioners Secure Control
Over Processes and Code

Implement Anaconda and open-source
data science software to enhance security,model development, innovation, andcustomer experience.

Danske Bank transitioned from proprietary coding
languages and solutions to Python and sought tocentralize and monitor the use of Python and otheropen-source software (OSS) across the organization.
The team wanted a solution that would support theirsecurity requirements and make it easier to provisionaccounts for their users.

RESULTSTo achieve these goals, Danske Bank adopted
Anaconda to provide curated and secure accessto data science and machine learning packages and,in doing so, support 90 production models thatpredict outcomes and influence action on upsell,cross-sell, and marketing propensity opportunities.

• Significant workflow improvements
and efficiencies©2023 Anaconda, Inc.

• Secure authentication for open-source
software libraries and packages
used to develop and deploy data
science applications and machinelearning models• Easier provisioning and management ofaccounts for users across the enterprise• Enterprise-ready support for data
scientists and engineers using
Anaconda, Python, and otheropen-source tools

1Since the Anaconda adoption, data scientists andIT managers have seen significant improvementsin their workflows. “As I moved to Python andAnaconda, I found it easier to control my processes
and play around with my code, which was previously
a pain point for me,” says Senior Data Scientist
Dinesh Singh.
Anaconda makes it easier to install open-source
packages like PyTorch and TensorFlow on Windows
machines, provides access to popular Python
libraries like pandas and SciPy, and makes it easy
to get support for Python-related frameworks likeJupyter Notebook.
“Anaconda plays a vital role in my day-to-day
efforts to analyze data patterns and provide useful
insights with minimal handshakes,” says Dinesh.
Plus, Anaconda’s large community makes it simple
for him to find answers or solutions presented bysubject matter experts. All of these factors make iteasier for Danske Bank to offer great-fit products
to customers and the broader market in a timely
manner. “Anaconda is our one-stop solution forthe majority, if not all, data-science-related work,”
Dinesh concludes.

©2023 Anaconda, Inc.

Anaconda is ourone-stop solutionfor the majority,
if not all, datascience-relatedwork.
Dinesh SinghSenior Data Scientist, Danske Bank

2Approved Source for Packages,
With Curation and Filtering for Vulnerabilities
IT managers at Danske Bank rely on Anaconda as an approved source for the packages data scienceand machine learning practitioners prefer to use, reducing the need for time-consuming manual
vetting of packages and user provisioning. Most importantly, Anaconda’s governance and compliancecapabilities keep systems secure and ensure users are only accessing approved packages.
Anaconda’s security capabilities allow the team to filter Common Vulnerabilities and Exposures (CVEs)
based on status and vulnerability score, so only packages that align with internal security policies canenter workflows. IT Software Architect Muralidharan G. likes the ability to create separate channels
for specific user groups to store packages and artifacts that have been mirrored, uploaded, copied,or moved. Muralidharan says he would recommend Anaconda to other IT managers for its repository,
CVE curation, and package support.
As a result of the transition to open source and the support its teams receive from Anaconda, Danske
Bank is better able to analyze data and build models that help get the right products in front of the rightprospects at the right times. This supports the organization’s overarching efforts to drive meaningful
growth while streamlining and securing internal workflows.

To learn more about how Anaconda can centralize
secure access to Python and data science tools
and libraries, contact sales@anaconda.com.
With more than 35 million users, Anaconda is the world’s most popular platform to develop

and deploy secure Python solutions, faster. We pioneered the use of Python for data science,
champion its vibrant community, and steward the open-source projects behind tomorrow’s
artificial intelligence (AI) and machine learning (ML) breakthroughs. Our solutions enable

practitioners and institutions around the world to securely harness the power of open source

for competitive advantage and groundbreaking discoveries. Visit anaconda.com to learn more.

©2023 Anaconda, Inc.