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Engagement Models

Swash Analytics’s engagement models are designed to meet the needs of clients with varying analytics maturity – in terms of data, processes, capabilities, resources and risk appetite.

Primarily, there are three main engagement models that we adopt:

Project-based Model

Key Features:

>Execute clearly scoped out projects for a fixed price, for a well-defined set of deliverable

>SWASH Analytics bears all risks for project delivery, and assumes complete leadership and control of the project

Scenarios

>Works well when the problem is well understood, the scope of the solution is clearly defined, and data quality is reasonable

>For instance, one-time model development activity for a credit card solicitations model

Retainership Model

Key Features

>Serves as an extended analytics arm of the client, providing services across the spectrum, from data management to providing post-implementation guidance.

>Team could be ramped up in a short notice, depending on client needs

>Resources work under the guidance of expert client analytic managers, who are primarily responsible for ensuring utilization and results

Scenarios

>Complementing an existing client analytic team, where the scope of activities include data profiling, model development, implementation, post-implementation analysis

>Meet overflow needs of clients, to enable internal delivery teams to focus on the most critical tasks

Risk-Reward Model

Key Features

>Swash Analytics ’s unique, results-driven business model ensures that our fees is tied to the value added, rather than simply based on analysis results provided.

>The result is a set of real, clear benefits in the form of tangible cost reduction, increased revenue or greater customer satisfaction, with little or no delivery risk to the client.

Scenarios

>Works well when Swash Analytics has acquired a certain degree of familiarity with client business scenario, data, and internal business processes.

>Needs a system of closed loop feedback to enable tracking of results from analytics-driven interventions.

 

 

   
 
 
 
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