EGUIDE:
In this e-guide, we bring together the latest advice for businesses on what leaving the EU without a deal would mean for your data protection strategy.
ESSENTIAL GUIDE:
Computer Weekly's essential guide to dealing with a data breach looks at companies that have been affected and offers advice on how to respond to cyber security occurrences
EZINE:
In this handbook, Computer Weekly looks at how companies and data management experts are tackling data challenges, and finds out how organisations are augmenting data management through artificial intelligence and machine learning.
EGUIDE:
In this e-guide, learn how Singapore's central bank as well as universities and research facilities are driving the adoption of analytics and data science, and how SAS is prepping its marketers for the data flood.
EGUIDE:
Big data holds the potential to provide insights for business growth – but only if data governance is part of the plan. Learn why data governance plays a major part in big data success. Plus, data management expert Anna Marie Smith, EWSolutions, explains when to implement a data governance plan, and challenges to look out for along the way.
EGUIDE:
Data management is a staple of successful businesses in the digital era, and as we rely on data more and more, the growing variety of roles within data management need to be better defined and clarified. Keep reading to learn who is doing what with data, and why.
EGUIDE:
In this e-guide, we bring together the latest advice for businesses on what leaving the EU without a deal would mean for your data protection strategy.
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 e-guide, we give you the top 10 key facts you need to know about the General Data Protection Regulation according to privacy lawyer and KuppingerCole analyst, Karsten Kinast. Taken from the European Identity & Cloud Conference in 2016.
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.
