Infinitive understands that becoming a data-centric enterprise is a process. We help our clients organize their data so that it can be analyzed, visualize their data by creating platforms which allow “citizen data scientists” to perform data analytics, and implement sophisticated AI-based analytics. It all starts with our data transformation methodology.

At the highest level of the data transformation methodology, Infinitive structures the effort into four main phases:

1. Strategy – review current state, establish a roadmap, and prioritize deployment.
2. Foundation – establish governance / technology frameworks, launch Proofs of Concept 
3. Operation – build out the infrastructure for modern data management at scale.
4. Transformation – implement the data analytics, AI and ML that drive business benefit. 

Each of these major phases is decomposed into a lower-level set of actions. Each of the lower-level actions is decomposed again into atomic tasks along with clear deliverables to be produced. The result is a playbook that can be followed allowing for:

1. Faster project start-up, easier staffing, and assignment of tasks. 
2. Less rework from missed tasks and misunderstood dependencies. 
3. Improved cohesion from one task to the next. 
4. Accurate and early assessment of costs and benefits. 
5. Quicker time to value.