A Data Science Central Community
As a central repository and processing engine, data lakes hold great promise for raising return on data assets (RDA). Bringing analytics directly to different data in its native formats can accelerate time-to-value by providing data scientists and business users with increased flexibility and…Continue
Added by Gabriel Lowy on April 11, 2016 at 12:00pm — No Comments
Data Platform-as-a-Service (dPaaS) represents a new approach to efficiently blend people, processes and technologies. A customizable dPaaS with unified integration and data management enables organizations to harness the value of their data assets to improve decision outcomes and operating performance.
dPaaS provides enterprise-class scalability enabling users…Continue
Added by Gabriel Lowy on April 2, 2015 at 9:44am — No Comments
For financial markets firms, efficiency is becoming as important a differentiator as speed and scale. As a result, firms are delving deeper into predictive analytics to realize faster time to value and improve operational performance and decision outcomes.
Technologies that speed pattern recognition in ever-growing data sets – including big data – provide…Continue
Added by Gabriel Lowy on January 22, 2015 at 9:46am — No Comments
Dynamic data integration incorporating data quality and master data management (MDM) assures consistency and reliability for upstream analytics and information sharing. A pragmatic approach that treats all of a company’s data as big data will facilitate integration efforts.
In Part I, we stressed the importance of data quality. In this post, we focus on MDM and the connection between the two as part of data governance strategy.
As financial institutions seek to become…Continue
Added by Gabriel Lowy on July 16, 2014 at 2:09pm — No Comments
Distributed architectures with more fragmented data sets beget the need for a dynamic data integration platform that is flexible and scalable to bridge existing enterprise infrastructure to newer apps developed for cloud and mobility. Data quality and master data management (MDM) are vital components of data integration to ensure consistency and reliability for upstream analytics.
But in order to succeed, firms need to first establish and commit to an ongoing data governance program…Continue
Added by Gabriel Lowy on June 25, 2014 at 1:45pm — No Comments