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Quantexa using Google Cloud Video
Ever wondered how Quantexa is using Google Cloud for its business? Check out this video by @Dave_Burt, Quantexa Global Customer Programs You'll get a quick overview of the tools helping us become more competitive in today's cloud market.
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Is single view enough to action business decisions?
Traditional MDM has historically been around creating a single view of individual or business. Often, that view is static and looks at entities from one angle- and therefore serve for a specific use-case/purpose. As data continues to proliferate, and the value of having each BU look after their data and create use-cases…
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What are the limitations of standard MDM?
I've been discussing this with a colleague of mine earlier today, and I came up with the following list: Increased interest of “transactional” style MDM rather than traditional “registry” style MDM Adoption of specialized units/teams at organization to look after “single view”, often under different names of MDM like One…
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Detect Money Laundering in Correspondent Banking
Low detection rates and high false positives increase your risk High volumes of false positives Poor underlying data and inadequate monitoring results in unmanageable volumes of alerts that swamp your team daily and wastes time that could be better spent detecting criminals. Slow investigations increase costs Inefficient…
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The limitations of standard MDM
Traditional MDM comes with a hefty time burden. It takes months to ingest and transform incoming data. Because its capabilities are not sufficient for the size of the challenge, traditional MDM systems are inflexible and take a long time to gain value from. The time sink Traditional MDM systems often run using a fixed data…
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Is your MDM solution capable of scaling to today’s data sources, volumes, and complexity?
Standard MDM solutions are not built for high volumes of distributed, disparate data, that is generated by various applications and external sources. Traditional MDM probabilistic matching doesn’t work well with siloed data sources. It misses connections, losing context, leads to decision-making inaccuracy, and leaves…
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Detect Money Laundering in Capital Markets
Markets AML Prevent money launderers from taking advantage of capital markets. Use context to improve risk detection. And gain broader coverage by removing data and workstream silos. Learn more
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Combat Trade-based Money Laundering
Trade AML Detect risk in the complexity of global trade. Reveal hidden relationships between importers and exporters. And identify previously unknown money laundering and fraud. Learn more
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Economy downturn- Insurers need to use their data now more than ever
It can be tempting during a downturn to simply focus on keeping the lights on. The Insurers that will do well during the downturn are those that invest in both data sources, and how they then utilise that data. Reducing claims leakage, detecting fraud (which will rise), selling more to existing customers and converting…
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Podcast of the Month: The Tax Files with Simon York
This week's Podcast of the Week is from the UK's The Tax Files. Episode 5: Simon York Ali and Ektaa invite you to Episode 5 of The Tax Files, where they are joined by Simon York. Simon is currently His Majesty’s Revenue and Customs Chief Investigation Officer and Director of HMRC’s Fraud Investigation Service (FIS). He is…