Poor data quality is the single biggest contributor to the poor performance of customer risk-rating models

Poor data quality is the single biggest contributor to the poor performance of customer risk-rating models. Incorrect know-your-customer (KYC) information, missing information on company suppliers, and erroneous business descriptions impair the effectiveness of screening tools and needlessly raise the workload of investigation teams. In many institutions, over half the cases reviewed have been labeled high risk simply due to poor data quality – McKinsey

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How Big Data Can Improve Manufacturing Efficiency

Big Data has become a buzzword in recent years as businesses have discovered new ways to collect valuable information about their customers and processes. The advent of mobile tech coupled with the Internet of Things (IoT) has given companies new ways to collect data, while machine learning has given analysts the tools needed to discern…

The 3 E’s of big data

We all know the three V’s of big data – volume, variety and velocity (it’s big, it’s complex and it changes rapidly). Recent events got me thinking about the three E’s… Explosiveness We have been hearing for years of the massive volumes of data being generated every second, yet, for most businesses the examples used…

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Cloudera and Hortonworks merge – good news for customers

Late last year, Cloudera and Hortonworks announced plans to merge the two companies – a move that came into play early this year. According to Tendü Yoğurtçu, CTO of our partner, Syncsort, the two companies have emerged as clear winners in the data space and gained momentum. “But each has had its own unique strengths,…