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Category Archives: Big Data Analytics
ActiveViam Connect 2017 – Counterparty Credit Risk at HSBC
Marc Meyer, COO of Wholesale Risk at HSBC, described at the ActiveViam Connect event how the bank uses ActivePivot to manage counterparty credit risk.Read more
Posted in Big Data Analytics, Finance
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ActiveViam at the Microsoft Azure User Group in Singapore on July 26
On July 26, ActiveViam will be at the Microsoft Azure User Group in Singapore to deliver a presentation about running ActiveViam in the CloudRead more
Posted in Big Data Analytics, Technology
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ActiveViam demo: precise, collaborative, faster Product Control
You will find below our latest demo of the ActiveViam platform presenting our vision for a faster, more collaborative process for Product Control.Read more
Posted in Big Data Analytics, Finance
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Le dynamisme des prix augmente en mars
L’indice DPI de mars 2017 montre une nette progression par rapport à février, avec un score global de 84, contre 80 le mois précédent. Amazon augmente aussi légèrement, passant de 87 à 88.Read more
Posted in Big Data Analytics, e-Commmerce
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ActiveViam to host its ActiveViam Connect in London on June 9th 2017
We are very happy to announce the line-up for the ActiveViam Connect. Read more
Posted in Big Data Analytics, Finance, Technology
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4 ways location-based pricing can improve retail volumes and margins
One element that is often neglected by brick & mortar retailers, for lack of sufficient analytical capabilities to take it into account, is that the competitive environment varies greatly from one store location to another.Read more
Posted in Big Data Analytics, e-Commmerce
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Partnering with Atos to build a Big Data appliance
Quartet FS and Atos have created a big data appliance designed to tackle the present and future regulatory challenges banks face. Read blog post.Read more
Posted in Big Data Analytics, Finance, Technology
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Who wants a Real-Time Supply Chain?
Everyone, it seems. Take Procter & Gamble. In a recent talk, Procter & Gamble’s SVP of Product Supply, mentioned they have created a “real-time instrumented supply chain,” which they believe could achieve an upside of 1-2% sales increase, 2-5% margin improvement, and 5-10% improvement in asset utilization.
Only several years ago companies updated their supply chain plans approximately once a month, whereas today forecasts and plans are adjusted twice a day for some product categories. Such frequent updates enable responding much faster to changing demand and allow implementing a more accurate resupply of products to stores.Read more
Posted in Big Data Analytics, Supply Chain
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How long can CCPs afford to wait?
Two months ago the Basel Committee decided that banks will have to set aside less capital against trades through central clearing houses in a bid to encourage them to use their services. The aim is to make banks use the central counterparties (CCPs), making it easier for regulators to follow the flow of banks’ trades and exposures to each other.Read more
Posted in Big Data Analytics, Finance
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Tackling the Look-through Challenges with In‑Memory Computing
This post delves into the implications of the look-through approach for asset managers, building the case for the use of in-memory aggregation technology to process massive amounts of highly granular data.Read more
Posted in Big Data Analytics, Finance
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