Testimonials
But don’t just take our word for it. Here's what clients have to say:
Looking to become (more) data-driven? Begin by setting a data & AI strategy for your organization
No matter where your ambition lies along the data & AI spectrum, it always needs to begin with a plan or strategy. Based on over 10 years of experience in AI consulting, we know that data projects that lack a clearly defined plan or goal will most likely fail.
Client success story: ABN Amro Insurance
Read about Xomnia’s partnership with ABN AMRO Insurance to shape their data ambitions, identify their data-related challenges, and overcome these challenges by building a sustainable environment to continuously create value with data.
Why is a data strategy essential?
Strategic Alignment
Bridge the gap Between Technical and Business Teams. To mindfully fit data-driven innovation within the different pillars of your organization
Identify Data & AI Solutions
Pinpoint existing and potential data and AI applications within your organization to leverage data insights and AI in the most optimal way
Maximize ROI and Cost Efficiency
By aligning data and AI projects with your business goals you ensure that your investments deliver real value, and proactively mitigate risks and reduce costs
Strategic Alignment
Bridge the gap Between Technical and Business Teams. To mindfully fit data-driven innovation within the different pillars of your organization
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How to define a successful data & AI strategy?
Based on more than a decade of experience as a data & AI partner, Xomnia crafted a pragmatic and realistic approach that is centered around concrete and achievable steps all the way to your goal.
- Data & AI value proposition: “What can I achieve with data & AI in my company?”We use a proven method to identify pains and gains, match them with known AI use cases, and then select potential cases based on projected ROI.
- Data capability assessment: "How can I fulfill my data & analytics ambitions?”The assessment gives our clients a clear picture of which use cases on the analytics roadmap can be picked up today, and which ones need additional capabilities to be developed.
- Data & AI roadmap: “When should I do what?”The analytics roadmap is the conclusion of a Data & AI strategy. It clearly describes which data product to develop first, and how to start growing your data capabilities to support successful development.
Create a winning strategy with Xomnia
Create a winning strategy with Xomnia
With Xomnia's expertise, we shifted from organizing data around IT to organizing data around business.
Janneke van de VenManager Particulier Verzekeren at ABN AMRO Verzekeringen
The architecture we built with Xomnia gives us a headstart for the analytic challenges we will face over the coming years.
Huub StamManager Data Analytics at a.s.r. asset management
Working together with Xomnia on a shared understanding of the challenges is key to the successful development of a single source of truth.
Eke van Riel Senior IT Project Manager at DAF Used Trucks
Ozan brought a lot of experience by setting up an architecture on Data Mesh principles. He was able to translate the high level intentional architecture to concrete features for the teams to work on.
The City of AmsterdamPO at Municipality of Amsterdam
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