Friday, July 24, 2015

The Importance of Data Quality for Intelligent Data Analytics

Poor IT data quality is the primary reason for 40% of all initiatives failing to achieve their targeted benefits. Learn More >>
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Data Management Alert

IT decisions are only as good as the data they're based on. And that data needs to be as complete, current and accurate as possible, or CIOs and their enterprises will likely find themselves at risk. The key to performing intelligent data analytics is quality data collection. For most, especially those in the Big Data space, collecting quality data is governed by the three V's: Velocity - how quickly and often information is collected; Volume - how much data is collected; and Variety - the different types of data collected.

However, there is a fourth. We invite you to take a few minutes to learn about this often overlooked, but equally important "V" and see why the solutions Blazent is delivering may be right for your organization.

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Ditulis Oleh : Angelisa Vivian Hari: 5:59 AM Kategori:

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