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Monthly Archives: February 2013

Canada's health information system shows high data quality 

Paul Newman Archive
For the past 15 years, Canada's healthcare sector has been using the Resident Assessment Instrument, and during the transition period, the Canadian Institute for Health Information has served as a data repository.

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Horse meat scandal sheds light on importance of data quality in supply chains

Paul Newman Archive
The horse meat food scandal is providing an important opportunity for data management teams to address something that might have been brushed under the rug in the past - the data quality supply chain.

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Big data is a mentality

Paul Newman Archive
Although big data is quickly becoming an IT priority across the private sector, there continues to be a number of misconceptions surrounding the movement.

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Start with data quality for smart big data adoption

Paul Newman Archive
Big data holds promise for companies large, small and inbetween.

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Without authenticity and quality, big data strategies can fall apart

Paul Newman Archive
Big data can generate highly valuable information, but it can also lead to huge mistakes if data quality is lacking.

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Talent Analytics demands good data quality

Paul Newman Archive
While it was previously deemed good enough for human resources professionals to read through resumes and select the most qualified candidates, the rise of big data is causing some to question to reliability of individuals' gut instincts.

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Banks adopting new IT strategies to stay relevant

Paul Newman Archive
The financial sector is experiencing the same technological disruptions as the rest of the world, forcing decision-makers to react and implement new tools to stay relevant.

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Poor data quality puts companies at risk

Paul Newman Archive
If companies don't have good data quality, their big data investments may not generate the insights they expect.

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Don't let speed and volume trump data quality

Paul Newman Archive
In today's data-driven world, speed and size seem to be of the utmost importance.

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Emphasizing big data quality, not quantity

Rachel Wheeler Archive
Mobility, social media and other technologies that support information aggregation are fueling the big data phenomenon, forcing decision-makers to develop a plan associated with capturing, analyzing and using digital resources to their advantage.

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