Data and AI Strategy Design and Execution
It’s 2022. You’ve invested time and resources in data and AI. Let’s look at the results – are you realizing business value?
DESIGN YOUR STRATEGY
Plan Your Journey to Become the AI-Driven Enterprise
You can not start your journey if you do not know where you are. We assess your AI maturity level on people and skills, tools and technology, and data and help you to to design and execute the journey to grow your AI capabilities.
- Design your Data and AI strategy
- Assess your AI maturity with our AI Maturity Scan
- Build and grow your AI Capability
- AI Maturity Assessment
Ready to Take Your Organization's AI Maturity to the Next Level?
The AI Maturity Scan is a great starting point for improving your organization's AI capabilities. It provides a quick, insightful, and actionable report that can directly act upon.
DEVELOP THE BUSINESS CAPABILITIES
Translate Your Strategy into Business Solutions
The process around AI solutions is just as important as building them. Ideation workshops, AI literacy trainings, product ownership and management of enterprise-scale projects: it’s all in a day’s work for an Analytics Translator.
- Discover and prioritize AI use cases
- Manage the AI products
- Level up the AI-literacy
An analytics translator can add a lot of value to AI-driven organizations.
What is the role of an Analytics Translator?
Learn how an Analytics Translator helps organizations overcome the most common difficulties when building AI solutions.
DEVELOP THE ANALYTICS CAPABILITIES
Make your Data and AI Team Work
We know how AI projects should be executed. Our lead data scientists and lead data engineers set up workflows, coach your experts and scale your engineering culture. By implementing DevOps for AI, we make sure that your data scientists, data engineers and analytics translators develop products that realize business value.
- Build your data science and data engineering chapters
- Lead the way with senior experts
- Implement the most effective workflow
ENABLING A DATA-DRIVEN ORGANIZATION
Drive Better Decisions with a Modern Data Stack
A modern data stack and data warehouse allows you to build data sets that are: up to date, reliable, maintainable, documented, well-governed and ready for the cloud. This is the foundation on which you build an organization where data democratization is a reality. Check out the webinar about the Modern Data Stack (Dutch Spoken).
- Building a modern data warehouse
- The modern data ecosystem comes with a new stack
- The modern data team; Analytics Engineer
Case studies
“When I see how fast we can deploy a model since working with GoDataDriven, and also at the increased quality, I’m amazed by the vast difference compared to five months ago”
“I’ve personally experienced the professionalism of GoDataDriven’s AI Maturity scan. The recommendations can be directly applied to the organization, IT, and development of skills. The AI Maturity Scan provided us with fresh insights and concrete recommendations for our organization.”
“ING wants to become a data-driven organization with Analytics as a business model. GoDataDriven is our partner in accomplishing this ambition. They have the expertise to deliver a wide range of trainings, for our business people, our executive and the experienced Data Scientists.”
“Data allows us to make the interactions with our clients as individual and personalized as possible”
“By developing solutions based on the data in the Data Lake, we can inform our customers proactively and help them to optimize their energy consumption.”
How we keep it organized
Organized Notes
- Analytics Translation
- data
- Analytics Translation
- data
- Analytics Translation
- data
- Analytics Translation
- data
- Analytics Translation
- Analytics Translation
- Data Engineering
- Data Science and AI
Let's discuss the next step!
Are you interested in assessing your current AI Maturity level, organizing your teams or bridging the gap between business and data teams? Contact Stijn Tonk, Chief of Strategy and Innovation.