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.
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:
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:
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.
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.
WHITE PAPER:
This whitepaper considers the importance of building operations data, and how tapping this information for deep insights can help reduce overhead cost. Access now for details.
WHITE PAPER:
Access the following expert e-guide to uncover the best practices and procedures for developing and implementing a successful data quality strategy.
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.
EGUIDE:
Governing large and varied sets of big data is difficult. In this expert e-guide, Dr. Anne Smith, Principal Consultant at Alabama Yankee Systems, LLC reveals 7 best practices for instituting effective policies for governing sets of big data. Plus, learn how a solid data governance plan sows the seeds for a successful self-service analytics program.