Engagement Model
The Agile Analytics Delivery Framework is based on CRISP-DM (cross-industry standard process for data mining). This is the standard methodology for analytics, data mining and data science projects.
We have adapted it to suite the way our clients typically want to work with us. The aim is to:
- Have an overall vision of where we are going and a plan to get there
- Be incremental, delivering quick and continuous wins
- But still be disciplined and methodical in our approach
An initial discovery phase, including assessment workshops (1 to 3 days):
- To understand current data landscape
- To understand immediate business needs (quick wins)
- To look at the best architecture to ingest data from source systems into dashboards
- Work with the IT and business stakeholders to define the scope and create a backlog for deliverables
- Build phase starts with a pilot on the first iteration followed by an incremental implementation to continuously deliver business outcome
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