While the data-driven transformation is challenging, you don't have to do it alone. To achieve your objectives as a data leader, you will benefit from external and objective feedback on your work.

Strategic coaching is useful for Chief Data / Analytics Officers, Head of Data Science / AI and other data leaders. The support provided is customized, based on your specific needs.

Topics include data strategy review, support in managing data teams, community building and stakeholder management among others.

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 possible.

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.