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DataSprints uses its own methodology created based on Lean Inception and Design Sprint to accelerate and maximize the ROI of Data, AI & Analytics projects.
Our methodology is simply based on two major phases: Data Inception and Data Journey.
In Data Inception, workshops and interviews are conducted with stakeholders from different areas of an organization to plan, develop, and prototype a Big Data platform of intelligent models compatible with the current context and the future of the organization.
The average duration is one and a half months for large organizations, and up to two weeks for small companies and startups.
The result of a Data Inception is a documented prototype that originates a MVP (Minimum Viable Product), a MVD (Minimum Viable Database) or a MVA (Minimum Viable Architecture).
In Data Journey a minimum Data squad is allocated to participate in the evolution of the data(insight)-driven maturity of the organization.
The minimum team is composed by a DPM (Data Project Manager), TL (Tech Lead), Data Scientist, Data Analyst, Data Engineer and Analytics Translator. For advanced structures, two more profiles are needed to manage different squads, the PMO (Program Manager Officer) and the PA (Program Architect).
The result of a Data Journey is a revolution in the company’s Data maturity and the construction of a complete platform to support the organization’s data needs, without overloading the IT and Data teams. This evolution is measured by a self assessment and continued by an optional Data Literacy program.
The first 100 subscribers will have exclusive access to the content at launch for free! (Coming soon)
An e-book with all methodology.
Two Canvas for defining Data projects.
Access to the activity prioritization board.
All other materials that we release in the future.
Get in touch with us! Our team has already applied and validated the Data Sprint methodology in several organizations. With the required profiles, we guide your organization during the sprints and accompany your organization in the process of data democratization.
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