EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
EGUIDE:
Data grants insight into your talent's performance, but how can you use data from across the company to determine how an individual employee's performance assists in reaching your goals?
EBOOK:
Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.
WHITE PAPER:
Today's business intelligence platforms are expensive, labor-intensive to maintain, and have a low adoption rate with business users. This resource introduces an out-of-the-box BI tool that conquers these challenges – read on to learn how.
WHITE PAPER:
This brief resource introduces the first cloud service for the entire data pipeline. Inside, learn how this strategy can help you acquire, store, and analyze customer information and big data.
WHITE PAPER:
The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
WHITE PAPER:
Access the following white paper to uncover how retail analytics can help you understand your customer and their buying behaviors—ultimately allowing for better decision making and a stronger market awareness.
EBOOK:
Based on a survey of more than 3,000 IT and business professionals, this exclusive benchmark report provides insights on predictive analytics deployment trends. Uncover key findings on implementation status, project steps, most important features, and much more to guide your own analytics strategy.
