EBOOK:
How can you decide if you should invest in cloud BI tools? Learn crucial information about cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.
EGUIDE:
This expert e-guide explores an integrated approach to master data management (MDM) that incorporates an enterprise data governance program. Inside, you'll find out how to optimize your data quality strategy and learn how to garner business support for your MDM initiative.
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:
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.
EBOOK:
Cyberattacks, GDPR and CCPA compliance, and the COVID-19 pandemic present serious challenges to big data security management practices. Data managers look to a combination of governance policies and evolving data security tools to protect the quality and integrity of their data stores.
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.
EGUIDE:
It's not enough to just collect customer data. You also need to ensure that your customer data is correct, up-to-date, and readily available. In this issue of Business Information e-zine, experts weigh in on strategies to optimize customer data quality and leverage analytics to identify unsatisfied customers.
WHITE PAPER:
The volume, variety, and velocity of big data make it difficult to ensure the information is trusted and protected -- traditional, manual methods of governance just aren't up to the task. In this resource, explore the challenges of managing big data and get best practices for data lifecycle management at the enterprise level.
