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.
WHITE PAPER:
Inside, discover how to innovate your existing data governance strategy with the help of an intelligent data catalog. Explore how an intelligent data catalog can help streamline operational compliance with data governance expectations, and decide if an intelligent data catalog is right for your organization's data governance goals.
WHITE PAPER:
This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
EGUIDE:
In this exclusive guide spearheaded by big data and data governance expert David Loshin, discover must-have features and functionalities to assess how well various big data analytics tools can meet your needs. Plus, explore benefits of big data analytics tools, and business use cases.
EZINE:
Thanks to analytics tools, HR's role is changing – enabling HR decision makers to be more strategic players in businesses. In this issue, learn how companies like Wawa Inc. and BJs are leveraging HR analytics, how data collection capabilities are heightening privacy concerns, 3 things you should know about SQL on Hadoop, and much more.
WHITE PAPER:
This whitepaper discusses the new features of IBM's InfoSphere Information Server V11.5, which helps you understand data and cleanse, monitor, transform, and deliver it.
WEBCAST:
This webcast explores the relationship between test data management and data quality and governance, and how a test data management strategy leads to smarter insights, faster responses to market demands, and more.
EGUIDE:
With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.
EGUIDE:
Poor data equates to wrong decisions, bias in the AI algorithm and flawed decision-making. What's more, data that personally identifies an individual can only be used in very specific ways, as stipulated by GDPR. Read about data preparation in this e-guide.
