EGUIDE:
In this e-guide: The public has been drenched in data during the Covid-19 pandemic. And the issue of the quality of that data has increasingly come to the fore.
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:
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:
Poor data equates to wrong decisions, bias in the AI algorithm and flawed decision-making. What's more, data that personally identifies an individual can only be used in very specific ways, as stipulated by GDPR. Read about data preparation in this e-guide.
WHITE PAPER:
This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
WHITE PAPER:
This resource examines the roles that information integration and governance play in today's big data world, and offers key recommendations to help you realize the full value of your information and improve business outcomes.
EZINE:
In this issue, we drill down on the facts of NoSQL databases, tapping into the experiences of savvy startups and other companies whose needs led them to NoSQL technologies. But is NoSQL right for you? Companies with fast-growing vaults of Web, social media, demographic and machine data should pay attention. IT experts chime in with timely advice.
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:
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?
