It is a well established statistic that data cleansing and preparation can take up to 60% of model development time. It is also true that models are only as good as the data that they are built on.

Creating robust datasets for model development requires a deep understanding of data sources and underlying data quality issues. It also requires tried and tested processes for managing the complexities of large volumes of data, often coming from disparate sources.

Fractal provides data management services to support model development, scoring and list generation and model tracking. Our data management services include building custom data models, performing data transformation and cleansing, and creating transformation engines. We have extensive experience in handling data from a variety of sophisticated and exhaustive sources including:

 

* Survey data (including diary panels)

* Household panel data

* Syndicated POS data (IRI and AC Nielsen)

* Consumer promotion & Advertising data

* Transactional, Billing and CRM data

* Bureau data (Experian, Transunion, Equifax)

* Dun and Bradstreet data

* Demographic data

* Web traffic and weblogs