A Data Science Central Community
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…Continue
Added by Gabriel Lowy on April 2, 2015 at 9:44am — No Comments
Big data does not change the relationship between data quality and decision outcomes. It underscores it.
The elegance of analytics systems and processes lies not in the gathering, storing and processing of data. Today’s technology has made this relatively easy and common. Rather it is in the integration and management to provide the highest quality data in…Continue
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
Data driven strategy execution is the key to building value for all stakeholders in a business over time. Measurable key performance indicators (KPIs) are essential to value creation. Value creation for capital providers is the ultimate mission of every business.
There are certain financial metrics/ratios common to all businesses that can be gleaned from basic accounting and financial statement analysis. In order to define strategy and the accompanying plans for execution,…Continue
Added by Gabriel Lowy on July 28, 2014 at 6:47am — 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