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.
This publication explains 10 mistakes to avoid when adopting advanced analytics.
File Type: .pdf
File Size: 484 KB
Duration: 14 pages
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By Patty Haines
Data quality is essential to getting more value from your organization’s data assets. Analysts, data scientists, and managers must know and understand the quality of the data they are using to make decisions and to set direction for their organizations if they are to make the best decisions.