Data Strategy
Today, companies have access to massive amounts of internal and external data, but much of it goes underutilized. A Data Strategy helps unlock the full potential of this data. It identifies key opportunities, details the steps needed to capitalize on them, and defines the resources required to make it happen. By leveraging data strategically, businesses can drive growth, innovation, and efficiency.
Data-driven opportunities
Key elements of a Data Strategy
01 Vision: Your destination.
The vision is essential in any transformation project. It not only defines our destination but also serves as a document that unifies the team around a common goal and ensures the commitment of all parties involved.
02 Current Digital Maturity: Where You Stand Now.
The data strategy will include an assessment of the organization's digital and data maturity, covering data, technology, and team competencies in the digital realm. This assessment is important for identifying strengths and areas for improvement, ensuring that the prioritized projects to be developed are realistic and that the estimation of the resources needed to carry them out is accurate.
03 What to Do: Priority Projects to Develop.
Based on the organization's vision and its digital and data maturity, potential projects to be undertaken will be defined. These projects will undergo a prioritization process based on their difficulty and business impact. Projects that are of low to medium difficulty and high impact will be selected for development.
04 How to Do It and What Resources Are Needed: Roadmap and Resources for Selected Projects.
For each selected project, the steps to follow and the necessary resources will be clearly defined, including data, technology, and personnel, for its implementation.