Prashanth Southekal
While many companies have embarked on data analytics initiatives, only a few have been successful. Studies have shown that over 70% of data analytics programs fail to realize their full potential and over 80% of the digital transformation initiatives fail. While there are many reasons that affect successful deployment of data analytics, one fundamental reason is lack of good quality data. However, many business enterprises realize this and invest considerable time and effort in data cleansing and remediation; technically known as data engineering. It is estimated that about 60 to 70% of the effort in data analytics is on data engineering. Given that data quality is an essential requirement for analytics, there are 5 key reasons on why data analytics is heavy on data engineering.
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Dave Sackett and Steve Rosvold
Welcome to CFO Talk. I’m your host, Steve Rosvold, chief learning officer at CFO.University. Joining us today is Dave Sackett, chief financial officer at ULVAC Technologies. Dave has a strong interest in the Fourth Industrial Revolution and frequently speaks on topics related to artificial intelligence, block chain, robotic process automation and machine learning. Today, Dave will be updating us on these leading edge technologies.
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Dave Sackett and Steve Rosvold
Welcome to CFO Talk. I’m your host, Steve Rosvold, chief learning officer at CFO.University. Joining us today is Dave Sackett, chief financial officer at ULVAC Technologies. Dave has a strong interest in the Fourth Industrial Revolution and frequently speaks on topics related to artificial intelligence, block chain, robotic process automation and machine learning. Today, Dave will be updating us on these leading edge technologies.
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Dave Sackett and Steve Rosvold
Welcome to CFO Talk. I’m your host, Steve Rosvold, chief learning officer at CFO.University. Joining us today is Dave Sackett, chief financial officer at ULVAC Technologies. Dave has a strong interest in the Fourth Industrial Revolution and frequently speaks on topics related to artificial intelligence, block chain, robotic process automation and machine learning. Today, Dave will be updating us on these leading edge technologies.
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John Thackeray
OPERATIONAL RESILIENCE IS defined as the ability of firms, industries, and sectors as a whole to prevent, respond to, recover, and learn from operational disruption. It is of particular interest to Chief Financial Officers who are frequently the management team leader overseeing the risk management function. It is a set of techniques that allows people, processes, and informational systems to alter operations in the face of changing business conditions.
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