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
As we evolve toward a software-defined world, there’s a new user experience urgency emerging. That’s because the definition of “user” is going to be vastly expanded. In the Internet of Things (IoT) era, users include machines.…Continue
Added by Gabriel Lowy on March 30, 2016 at 9:43am — 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
This post is an excerpt from our new report “The PADS Framework for Application Performance and User Experience”. You can download the free report here http://tech-tonicsadvisors.com/go/pads-framework-white-paper.
The “point of delivery”, which is where users access composite apps, is…Continue
Added by Gabriel Lowy on June 22, 2015 at 9:28am — 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
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
Performance analytics in cloud platforms is becoming table stakes amid intensifying price competition for increasingly commoditized services. The ability to effectively manage application performance is a key component of every infrastructure-as-a-service (IaaS) provider’s cloud monitoring strategy. As a result, cloud platform providers must continue to add functionality due to fewer opportunities to differentiate on raw compute or storage resources.
The evolution toward distributed…Continue
Added by Gabriel Lowy on May 27, 2014 at 2:07pm — No Comments
The time has come for evolving storage strategies for a new computing era. The storage, movement and delivery of data and services to an increasingly remote and mobile user community are challenging the data management and protection systems of most organizations. CIOs and storage administrators are plagued by disparate systems and incompatible data sets resulting from mergers, outmoded legacy infrastructures, stubbornly maintained departmental and individual data silos, and the explosion…Continue
Added by Gabriel Lowy on April 24, 2014 at 10:50am — No Comments
The PADS Framework, for Performance Analytics and Decision Support, represents a more holistic approach to adaptive, proactive and predictive operational data management and analysis. The framework links advanced performance management and big data analytics technologies to enable organizations to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex virtualized and mobile systems across the entire application delivery chain.
Added by Gabriel Lowy on March 19, 2014 at 5:05pm — No Comments
A new Performance Analytics and Decision Support Framework, linking advanced performance management and big data analytics technologies, will emerge in 2014. The PADS framework enables enterprises and service providers to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex IT systems across the entire application delivery chain.
PADS establishes best practices for assuring user experience, reducing risk and improving operational decision…Continue
Added by Gabriel Lowy on February 26, 2014 at 2:12pm — No Comments
Big data is most often defined by volume, velocity and variety. But it is veracity, validity and value that are big data’s real 3Vs. For it’s the information we glean from data that yields better decisions.
The big risk in the big data hype is that we don’t focus on the value – and quality – of the data we are storing and analyzing. We will expend a lot of cost and energy to generate a low return on all of that data because the models and algorithms they drive will serve no more…Continue
Added by Gabriel Lowy on February 20, 2014 at 3:41pm — No Comments
Forward-looking organizations should consider Hadoop as a data management hub. New features in Hadoop 2.0 provide greater flexibility and manageability, allowing firms to efficiently move more workloads to Hadoop and build analytics models using a much larger data pool.
In financial services for example, many organizations have been experimenting with Hadoop projects. These range from securities pricing, risk analysis and setting insurance premiums to monitoring transactions flows…Continue
Added by Gabriel Lowy on November 7, 2013 at 7:00am — No Comments
Added by Gabriel Lowy on October 4, 2013 at 7:16am — No Comments