Define Data and AI Strategies

Not sure where to start with data & AI? You’re not alone

Many organizations nowadays suffer from an AI-FOMO: With so many state-of-the-art use cases and success stories out there, how can you choose the best solution for your company or keep up with this fast-paced world?

Common AI-related questions that companies frequently ask include:

What can I achieve with data & AI in my company?
How can I fulfill my data & AI ambitions?
Where do I start with the development of a data product?
When should I do what in the process?
Does my data product live up to its promise?
My data project is stuck - help!
The data product is mature enough - now what?

Our advice for those companies is to precisely define how data and AI add value to them (or not) and to plan where to implement them by:

Defining their data value proposition
Building their cloud platform or data infrastructure
Developing data and analytics products
Boosting their data & analytics capabilities

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Define the data value proposition for your company

At Xomnia, we believe that AI and data should be tailored to solve challenges in your company, and not the other way around. To ensure this, we start the journey to creating and executing your data-driven strategy by clearly answering the following questions:

WHAT are the data opportunities for your company & WHY should your company chase these opportunities?
HOW might your company achieve the selected use cases?
WHICH data products and organizational enablers need to be developed, and when?

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Xomnia’s AI value proposition method

Xomnia can help your organization from the early stages of defining your data and AI strategy and roadmap. We outline below how our data experts will help you kickstart or enhance your data-driven strategy:

To define the WHAT, WHY and HOW of your data project

Xomnia developed the AI value proposition method, consisting of:

Discovery workshops: Identify and rank the pains & gains with the guidance of an analytics translator from Xomnia
Use case definition: Match data-solutions with your challenges using our use case canvas
Analysis and selection: Rank use cases based on estimated value

Learn how to develop a data product

To determine the WHICH of your data project

We developed an organizational assessment and a roadmap method:

AI maturity scan: Aims to assess the current state of data and AI at your organization
AI roadmap: Helps in filling the gaps between your current and desired states

Tap into your data driven potential with us

Demystifying AI strategy: Xomnia’s AI value proposition method

Xomnia's Lead Analytics Translator Jasper Küller elaborately explains in this blog the steps to define an AI strategy, and Xomnia's AI value proposition method.

Does your AI strategy match your company’s data maturity level?

Analytics Translator Robin van den Brink explains in this blog how to run and finish the marathon towards data maturity, from determining your organization's current state, to setting a sustainable AI roadmap.