To achieve your objectives, you need to know where you stand. Performing a data maturity assessment will help you understand the current level of data maturity of your company.

The assessment is based on an existing framework developed and tested by companies from various sectors.

Interviews with key stakeholders are performed to understand current status and needs from the business. Recommendations on next actions to take are provided.

The main reason for low data maturity and unsuccessful AI projects in companies is related to the gap between data specialists and business stakeholders.

Translating business needs into data projects useful for the company is key to accelerate your data-driven transformation.

Business ideas are identified and translated into data initiatives using tailored processes and canvas. Use case definition and prioritization are provided.

There is an enormous hype around AI and Machine Learning, which make these concepts sounds like magic​. Managers need to become data literate to lead data teams and initiatives. Employees will become data ambassadors.

Developing a data culture is necessary for your company to become competitive in the context of the data-driven transformation. Leading change is key to your success.

Trainings are customized to your needs (online/onsite, concepts/hands-on, duration, audience, etc.). Specific workshops and team building sessions are available.

People are the most critical part of a data-driven transformation. To accelerate your journey, you need to build a data team able to deliver and evolve over time.

Hiring data talents is challenging for most companies. Ensuring a good match between expectations on both sides is key. Creating communities and developing people are crucial for talent retention.

Support is provided to define job profiles, search for the right talents and perform interviews to identify the right fit. Factors to improve talent retention are defined.