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:
In this e-guide, we discuss the how important respecting the data privacy of customers and prospective customers is for companies trying to make a profit. For commercial organisations, finding this ethical balance between making money from data and safeguarding the privacy of personal data is more important than ever thanks to the EU's GDPR.
EGUIDE:
Fail to prepare, prepare to fail is an adage that never fails to lose its veracity. The same is true of using poor quality data, known to be the bane of the lives of data analysts, not to speak of organisations that yearn to be "data driven".
ESSENTIAL GUIDE:
This article in our Royal Holloway Security Series sheds an often uncomfortable light on the privacy risks people incur by using social media, and offers advice on how to minimise those risks
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.
WEBCAST:
In this on-demand webcast, learn about the importance of creating a trusted view of your big data assets and discover how the right tools can help you get there.
EGUIDE:
Data protection is now an unavoidable consideration in business, and the costs of not getting it right are higher than ever. In this 14-page buyer's guide, Computer Weekly looks at the larger fines coming out of the EU's GDPR, the importance of focusing on business value and the advantages of building compliance into your company's culture.
EGUIDE:
In this expert e-guide we walk you through the best way to organize and present your data, and explain how you can access large amounts of information rapidly. You'll learn how to create a collaborative data governance program, implement data visualization techniques, avoid inconsistent analysis by removing the need for data sampling, and more.
