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Overview

DaDO is our methodology to evolve toward a Data-Driven Organization Our aproach focuses on 6 differentiated axis:

1- Strategy: Future vision and an accelerated data strategy with reference models using AWS technology 2- Technology: Stable and adaptable AWS environments to meet the strategic needs in an agile way 3- Data: What data does your business handle? Do you trust them? moving towards a data-centric strategy 4- Intelligence: Get value through exploitation and learning 5- Culture and Change: Ensuring the right environment, tools, people, and methods to develop innovative products 6- Innovation and Business: Establish a path to assume the objective

  • Approach * For each of the above axis, future maturity models will be identified. These must be reached in a certain period through different initiatives to be developed. All must be agreed and coordinated with the different teams to obtain the roadmap.

The alliance between Minsait and AWS is key adopting the best technological solution for each of the resulting lines, based on our experience in the sector and technology

  • Methodology and deliverables * DaDO executes under a methodology where we activate dynamics and interviews held by our experienced professionals, adapted to the needs of each analysis axis and the profile of the different interlocutors, offering a multidisciplinary and expert team in each of the disciplines, helping you achieve success adopting any AWS tools and technologies required.

  • Deployment models * There could be three ways of approaching DaDO: 1- DaDO Lite Project: QuickWins to promote the data culture in the organization, as well as identification of future lines of action. 2- DaDO Project: Complete vision of data and analytics. Current status needs and requirements, use cases, and true roadmap to evolve towards a data-driven organization. 3- DaDO extended project: Holistic view of data and analytics. Full assessment of the current degree of maturity, needs, GAP, pain points, use cases, and a quantified master plan to evolve towards a data-driven organization, also an exhaustive monitoring model to control the evolution.

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