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Data analytics is used to describe everything from online analytical processing (OLAP) to CRM analytics in call centers. Banks and credit cards companies, for instance, analyze withdrawal and spending patterns to prevent fraud or identity theft.
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E-commerce companies examine Web site traffic or navigation patterns to determine which customers are more or less likely to buy a product or service based upon prior purchases or viewing trends.
We provide the various services like Next-Gen Analytics, Business Intelligence, Enterprise Data Management to our customers.
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Conmentum believes that providing successful BI services is not just about delivering the correct information, it is about delivering the right information to the right people at the right time.
The data analytics leverage the predictions of new business trends and changing customer expectations. These can be used to optimize the service & maximize the revenue.
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Our analytics engine help you increase efficiency and reduce costs. It also helps reducing the risks.
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Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis.
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Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information.
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The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data.
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Mobile devices, social networks and real-time information are driving big data. This can be handled by developing competence in data architecture and analysis tools.
