EZINE:
In this week's Computer Weekly, we examine the European Parliament's digital vision for the next decade, including controversial plans for a regional internet. GDPR is two years old – we find out how well the law is working. And we look at how the coronavirus crisis is affecting digital skills recruitment and training.
WHITE PAPER:
Learn about the 10 essential MDM requirements, which will allow you to address both your current and future business needs, and quickly reap the returns from your MDM initiative.
EBOOK:
Data integration is much more than just extract, transform and load tools. Today, it's a businesswide effort that requires a diverse set of tools and methodologies.
WHITE PAPER:
Thirty-five percent of consumers say they would never use a mobile app again if it contained incorrect product data. This brief resource explores how the global standards body GS1 established the Global Data Synchronization Network (GDSN) as a means of combatting outdated, inconsistent product information.
EGUIDE:
Asia-Pacific organisations see the importance of having good data protection practices, even as they are still grappling with organisational and operational challenges. In this handbook, Computer Weekly looks at the different levels of preparedness across the region and what firms can do to plug any gaps.
VIDEO:
As the volume and variety of data increases, it becomes harder to ensure trustworthiness, and placing confidence in this information becomes risker. In order to effectively leverage analytics to glean actionable insights from big data, you need to be able to trust that information -- in other words, it must be properly integrated and governed.
WHITE PAPER:
By automating information integration and governance and deploying it at the point of data creation, organizations can boost big data confidence. Access this whitepaper now to discover the importance of data integration, and how your business will benefit from such a methodology.
WHITE PAPER:
Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
