A Data Science Central Community
As companies sort out data management to facilitate analytics for better decision outcomes, they've got to optimize user experience. The ROI of these technology investments are correlated.
Legacy performance management solutions were architected for smaller, less-complex and static computing environments that did not…Continue
Added by Gabriel Lowy on October 6, 2015 at 9:10am — No Comments
Harvesting intelligence from data—and converting that intelligence into productive financial risk-transfer decisions—is a key element of how capital markets firms both provide value to their clients and protect their own interests. To date, however, few firms are optimizing the conversion of raw data into actionable analytics to satisfy competitive and regulatory…Continue
Added by Gabriel Lowy on June 29, 2015 at 10:37am — 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…Continue
Added by Gabriel Lowy on April 2, 2015 at 9:44am — No Comments
Data Center Infrastructure Management (DCIM) software manages the data centers that run the software-driven economy. With users – both employees and customers – increasingly engaging with company apps and websites via mobile devices, managing data center capacity and efficiency has become strategic.
IT teams face conflicting challenges. On one hand, they try…Continue
Added by Gabriel Lowy on April 2, 2015 at 9:37am — 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
Rapidly changing market dynamics and increased GRC (governance, regulatory and compliance) requirements are pressuring more IT departments to evolve toward a hybrid data center strategy. A hybrid data center approach lets organizations retain and fully amortize legacy infrastructure, while curbing capital expenditures on new data centers. It also provides the…Continue
Added by Gabriel Lowy on February 19, 2015 at 1:30pm — 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
Pursuing DevOps ROI (return on investment) is compelling for organizations that adopt this approach to agile development practices. With the evolution toward cloud and mobile apps that run on converged infrastructures companies that implement DevOps processes can realize significant benefits in the three components of ROI. These include reduced costs, enhanced productivity and faster time to revenue. DevOps can also help mitigate risks, such as customer loss due to poor user experience,…Continue
Added by Gabriel Lowy on October 5, 2014 at 3:08pm — 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
With the proliferation of composite applications for cloud and mobility, monitoring individual components of the application delivery chain is no longer an effective way to assure user experience. IT organizations must evolve toward a holistic unified user experience assurance. This must be a more collaborative methodology based on a service-delivery principle that is more aligned with corporate strategy.
The more business processes come to depend on multiple applications and…Continue
Added by Gabriel Lowy on July 8, 2014 at 1:23pm — 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
Despite heavy investment in data management and monitoring platforms, the financial services industry still lacks real-time operational intelligence to enable better business decision-making and prevent systems and service failures and catastrophic trading errors. These outages expose institutions to undue risk and compliance violations that can cost organizations millions of dollars in financial losses and regulatory fines. They also undermine investor confidence and damage firm…Continue
In the current context of fierce competition, in order to maintain their position, large companies must use a variety of means: service commitments, multichannel approach, extensive monitoring of the supply chain until the last kilometer, digital communication, shop connection, website, call center, customer loyalty program, community animation, products and prices personalization, etc.. But above all they must continually put the customer at the heart of their strategy, and make it as…
Added by Michel Bruley on February 18, 2014 at 12:29am — No Comments
Added by Gabriel Lowy on October 9, 2013 at 1:04pm — No Comments