Monthly Archives: February 2013

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.

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

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.

Continue reading Canada's health information system shows high data quality 

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

Continue reading Without authenticity and quality, big data strategies can fall apart

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

Continue reading Big data is a mentality

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

Continue reading Start with data quality for smart big data adoption

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.

Continue reading Talent Analytics demands good data quality

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

Continue reading Poor data quality puts companies at risk

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

Continue reading Don't let speed and volume trump data quality

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.

Continue reading Banks adopting new IT strategies to stay relevant

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.

Continue reading Emphasizing big data quality, not quantity