-
Anti-Money Laundering in Capital Markets: Time to Embrace Innovation
IntroductionDetecting money laundering risk in capital markets is a challenge which the industry has long struggled to effectively overcome. Capital markets inherent risk characteristics, such as high volumes of transactions, cross-border activity, direct market access and complex product offerings complicates risk…
-
A Telecom’s Successful Journey to the Cloud
Everything Changes, Nothing Stands Still Heraclitus once said that “All things pass and nothing stays”. If we deny change, there is no growth and stagnation can result, and for this reason to be competitive companies constantly strive to adapt to changing requirements. The amount of change we have seen in the UK and Europe…
-
Rethinking MDM and Our Approach to It | Part 4/4: Traditional techniques & rigid models ought to die
This is the fourth and final installment of my blog series on Rethinking Master Data Management (MDM) and our approach to it. In the first and second parts of this series, I examined the current state of MDM and highlighted three main reasons for its historical record of failure. In particular, I discussed how MDM…
-
Rethinking MDM and Our Approach to It | Part 3/4: Data isn't a first-class citizen
In part 1 and part 2 of this blog series, I've gone through the current state of Master Data Management and highlighted 3 main reasons as to why MDM initiatives has historical record of failure, discussed the first reason about MDM's solutions tendency to promote the idea of a "single view", and how in reality there is…
-
Rethinking MDM and Our Approach to It | Part 2/4: There is no such thing as a "Single View"
In part 1 (Intro) of this series, I've gone through the current state of Master Data Management and highlighted 3 main reasons as to why MDM initiatives has historical record of failure. In this blog, I'll dive into the first reason on that list, and that's MDM solution tendency to promote the idea of a "single view".…
-
Rethinking MDM and Our Approach to It | Part 1/4: Intro
Before starting a new buzzword, I think we need to revisit an old one: MDM. Master data management (MDM) is a term used for the last few decades to help with the growing challenge of having a "single view" of entities across organisations, such as customers, businesses, and products. It became more evident as organisations…
-
Contextual Monitoring: The New Standard for FinCrime and Fraud Detection and Investigations
As the cracks in the traditional approaches to financial crime and fraud detection and investigation deepen, a period of seismic disruption is underway – and Contextual Monitoring is at its forefront. When it comes to detecting and investigating financial crime and fraud, traditional rules-based monitoring methods are no…
-
Quantexa 2: Advanced Capabilities to Make Your Data Meaningful
Since introducing the first version of Quantexa’s platform two years ago, our company, customers, and product have come a long way. Yet our mission has remained the same: to help organizations make their data meaningful. To ensure we continue to improve our platform by simplifying the complexity that comes with analyzing…
-
Unlocking Insight from Adverse Media Using Contextual Search for Unstructured Data
Today, unstructured data accounts for up to 90% of all generated data and is growing at an average rate of 60% each year. This makes it more important than ever for organizations to find innovative ways of managing and analyzing that data so they can utilize it effectively to enrich investigations and make trusted business…
-
Data Quality & the Importance of Reliable Data
Data quality is the measurement of data in terms of accuracy, completeness, consistency, validity, uniqueness and timeliness. It enables businesses and organizations to quantify and better manage their data. Machine learning (ML) is one of the biggest value-adds for businesses, and at the heart of every machine learning…