Data Normalization

July 24, 2012

See also: Data Integration

CIMM DEFINITION: Where there are two or more disparate data points within a data set, combining them in such as way that maintains data integrity and accuracy while improving usability.

2: The process of synthesizing the unique attributes of data. Commonly used in database construction to minimize duplication and promote data integrity. (Source: Nielsen)

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“It has never been more crucial for the industry to advance cross-platform measurement and television attribution, but this within itself cannot be achieved in silos. Instead, it requires a collective industry-wide commitment and CIMM is the conduit for which the industry can articulate their needs and steps required to decide a best path forward through collaborative, data-driven research.”

Bharad Ramesh Executive Director, Research & Investment AnalyticsGroupM

“…Research is everybody’s business now. There are so many eyeballs that aren’t being captured by existing measurement tools. We need to bring more people together and engage in identifying and testing solutions. That’s where CIMM comes in.”

Colleen Fahey RushEVP, Chief Research Officer, Paramount

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Kate SirkinEVP, Global Data Partnerships, Publicis Epsilon

Data Normalization

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