EZINE:
In this week's Computer Weekly, with a litany of security and compliance issues caused by Elon Musk's takeover of Twitter, we ask if it's still safe for enterprises. Our latest buyer's guide examines the technologies and best practices behind data visualisation. And we look at the emerging devices for accessing the metaverse. Read the issue now.
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.
EZINE:
The Nordic region, known for its startup companies, is a good platform for fintech companies to set up as consumers are conducive to digital banking services. In this issue, discover how major companies in the financial industry are partnering with startups and launching fintech initiatives and much more.
EGUIDE:
The key to success is being able to use the data you collected to develop effective CEM strategies. In this expert e-guide, explore how organizations from multiple industries are leveraging insights from data analytics to develop effective customer experience management strategies and give their businesses a boost.
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.
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.
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.
WHITE PAPER:
Even the best managed large-scale enterprise data integration environments grow complex over time, and are continuously pressured to operate leaner and more efficiently. In this white paper, learn about an innovative publish-and-subscribe model that can be applied to data integration, delivering automation without compromising control.
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