Analytics Magazine Analytics Magazine, January/February 2014 | Seite 89

(18%–26%)

Domain III

Data

(The ability to work effectively with data to help identify potential relationships that will lead to refinement
of the business and analytics problem.)
T-1

Identify and prioritize data needs and sources

T-2

Acquire data

T-3

Harmonize, rescale, clean, and share data

T-4

Identify relationships in the data

T-5

Document and report findings (e.g., insights, results, business performance)

T-6

Refine the business and analytics problem statements

(12%–18%)

Domain IV

Methodology (Approach) Selection

(The ability to identify and select potential approaches for solving the business problem.)
T-1

Identify available problem solving approaches (methods)

T-2

Select software tools

T-3

Test approaches (methods)1

T-4

Select approaches (methods) 1

(13%–19%)

Domain V

Model Building

(The ability to identify and build effective model structures to help solve the business problem.)
T-1

Identify model structures1

T-2

Run and evaluate the models

T-3

Calibrate models and data1

T-4

Integrate the models1

T-5

Document and communicate findings (including assumptions, limitations, and constraints)

(7%–11%)

Domain VI

Deployment

(The ability to deploy the selected model to help solve the business problem.)
T-1

Perform business validation of the model

T-2

Deliver report with findings; OR

T-3

Create model, usability, and system requirements for production

T-4

Deliver production model/system1

T-5

Support deployment

(4%–8%)

Domain VII

Model Life Cycle Management

(The ability to manage the model life cycle to evaluate business benefit of the model over time.)
T-1

Document initial structure

T-2

Track model quality

T-3

Recalibrate and maintain the model1

T-4

Support training activities

T-5

Evaluate the business benefit of the model over time

Tasks that are beyond the scope of the CAP® certification exam and that will not be tested.

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