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117

Qualified employees

Not only is our team full of professionals – we're a fun bunch, too.

Projects delivered

Last year, we successfully completed over 100 individual projects worldwide.

Key industries

We have specialist experience in a handful of industries.

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Who are we

Data Analysts

Our in-house data analysts have a hands-on approach to data, with heavy emphasis on clear communication with the client.

Data Engineers

All of our data engineers are Boston University graduates, and undergo our in-house developed training program upon joining the team.

Designers

Our designers have an extensive background in data analysis, and often work together with our other specialists on various projects.

Consultants

All of our consultants have specialist experience in the field of data science, and aim to understand the data needs of your business.

Why choose us?

Global experience

We have worked with multinational companies, as well as smaller businesses from all continents.

We believe in your success and that big data can help you achieve the best results for your business, regardless of your field or target market.

Quality for value

Our motto is to provide only the highest quality to our clients, no matter the circumstances.

Favorable terms

Each project we work on is tailored to the particular client's exact needs, not the other way around.

High standards

We take data seriously, meaning that we only deliver work that we can be proud of.

Happy clients

Don't just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

John Bjerrand

I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. Lilo's consultants helped us see the big picture with their visualization tools and expertise.

Anna Claudio

As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. Lilo's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.