By Troy Hiltbrand
Advanced analytics is consistently ranked as a high-priority focus of CIOs across the industry. With applications from cybersecurity to financial management to human resources to sales and marketing, almost all sectors regard advanced analytics as a mechanism to solve their most challenging business problems.
Advanced analytics is an area of study, not a specific technology. In general terms, it is the application of mathematical and statistical modeling techniques to describe what is happening in the world. Companies that can apply these models in an automated fashion, without human intervention, can generate significant economic value.
This publication explains 10 mistakes to avoid when adopting advanced analytics.
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