In 2008 SAS announced Project Unity, designed to integrate data quality, data integration, and master data management.
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With software development being redefined to work in a data science and machine learning context, this timeless question is gaining new relevance and R and python are being the most used programming language for machine learning and data science.
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In Gartner's magic Quadrant, SAS named as a leader for Multi-channel marketing hubs. it helps organisations to track, manage and analyze their customer.
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GST evasion is a very big problem problem for every government. Government of Karnataka is using data analytics to detect GST evasion.
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The telecom sector is loosing billions of money every year due to fraud detection. Machine Learning is the best weapon for telecom industry against fraud detection. Machine Learning has the capability to self- learn, the algorithm gives accurate result which helps in detecting fraud activities.
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According to Semi annual Big Data Analytics spending guide from IDC (International Data Corporation) the big data analytics revenue to reach $260 billion by 2022 with a growth of 11.9% over 2017-2022 forecast period.
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