Harness the power of connected data

Benefits, real world examples and tips to get started.


With a graph database you can connect data as it is stored, displaying data in connections much like how we look at the world ourselves. It is made up just two elements: nodes and links. The nodes represent data points and links represent their relationships. They allow you to find not just the obvious relationships, but also the hidden ones, and that’s where you find the really interesting information.

In this example of holiday cocktails and ingredients, you see at a glance which ingredients are used to make multiple drinks and which are used only once. The graph offers quick insight on how to make the most out of your budget and still offer guests a diverse cocktail menu.

Real World Applications

Graph solutions help organizations with many practical use cases across all industries.

A few examples of Graph Solutions at work…

Supply Chain Management

An international supply chain with multiple products constantly crossing borders, oceans and regulatory landscapes is a clear match for Graph solutions. The more steps there are in the chain between the various suppliers, manufacturers, retailers and consumers, the greater the risk of inefficiencies, fraud, contamination, and unethical practices. The technical challenge of tracking every product, its journey and requirements can create incredibly large numbers of interdependent data, and a Graph’s relationship-centric approach enables firms to better manage, read and visualize their data. This gives a trackable and in-depth picture of all products, suppliers and facilities and the relationships between them.

Healthcare / Life Sciences

Pharmaceutical companies wanting to find associations across vast experimental data and medical research use a graph to merge historical data and new high-content image data. The resulting knowledge graph enables a better understanding of biology, the correlation of elements and how to better develop the next generation of medicines.


Companies that provide utilities such as water, sewage services, electricity and natural gas can leverage graph analysis to build and maintain the most optimal utility distribution network.

Nice, but…

It can still be hard to know where to start. Here are a few tips to help you on the way to making use of your connected data:

  1. Identify your project — create a small cross-functional team with representation from key areas, including business and IT who can identify what business problems can be solved by graph technology. If your project has a lot of connected, interdependent information, it is a good candidate for graph solutions.
  2. Assess the status quo — after you’ve selected the use case, start by assessing the current state of things. Examine existing issues, problems, or opportunities, and consider how your case can help address your company concerns like cost savings, increased revenue, or risk.
  3. Measure success — confirm agreement across the team on your project goals and decide how you will measure success or the return on investment.
  4. Production plan — get input from your internal experts, data scientists, IT teams and end-users. They can make sure the right topics and issues are addressed and raise any usability concerns.
  5. Graph Solutions partner — working with an experienced partner can accelerate your project. They can help explore what is possible and find potential use cases. Having them on board means you’ll have a partner that understands exactly what it takes to help you achieve your business goals.

Start small, think big

Your first graph project will likely spawn many new ideas and future projects. Starting with a smaller project to gain immediate value and experience, then adding more use cases or sophisticated aspects over time is a good way to leverage the complex patterns hiding in your data and gain deeper insights into your business.



Data science and analytics company, located in the center of Zurich

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