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Gabriel Lowy's Blog Posts Tagged 'Analytics' (22)

The IoT User Experience Urgency

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.…

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Added by Gabriel Lowy on March 30, 2016 at 9:43am — No Comments

New Requirements for Performance Management Vendors

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…

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Added by Gabriel Lowy on October 6, 2015 at 9:10am — No Comments

Benjamin Graham Meets Advanced Analytics

Benjamin Graham’s The Intelligent Investor is considered by many, including his disciple Warren Buffet, as the finest book ever written on the subject of investing.  At the heart of Graham’s thesis is the question, “Can investors uncover intrinsic value in specific securities if…

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Added by Gabriel Lowy on October 1, 2015 at 7:33am — No Comments

Evolving Storage Strategies in Capital Markets

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…

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Added by Gabriel Lowy on June 29, 2015 at 10:37am — No Comments

Performance Analytics is Key to PADS Framework

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…

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Added by Gabriel Lowy on June 22, 2015 at 9:28am — No Comments

The Value of Data Platform-as-a-Service (dPaaS)

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…

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Added by Gabriel Lowy on April 2, 2015 at 9:44am — No Comments

Data Center Efficiency Analytics

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…

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Added by Gabriel Lowy on April 2, 2015 at 9:37am — No Comments

Data Quality Determines Decision Outcomes

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…

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Added by Gabriel Lowy on February 24, 2015 at 12:47pm — 1 Comment

Financial Firms Embrace Predictive Analytics

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…

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Added by Gabriel Lowy on January 22, 2015 at 9:46am — No Comments

Dynamic Data Integration Part II

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…

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Added by Gabriel Lowy on July 16, 2014 at 2:09pm — No Comments

Holistic Unified User Experience

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…

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Added by Gabriel Lowy on July 8, 2014 at 1:23pm — No Comments

Dynamic Data Integration Part I

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…

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Added by Gabriel Lowy on June 25, 2014 at 1:45pm — No Comments

Predictive Case Based Reasoning

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…

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Added by Gabriel Lowy on June 18, 2014 at 12:59pm — 1 Comment

Performance Analytics in Cloud Platforms

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…

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Added by Gabriel Lowy on May 27, 2014 at 2:07pm — No Comments

The PADS Framework with Diagram

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.

The PADS…

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Added by Gabriel Lowy on March 19, 2014 at 5:05pm — No Comments

Introducing the PADS Framework

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…

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Added by Gabriel Lowy on February 26, 2014 at 2:12pm — No Comments

Hadoop as a Data Management Hub

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…

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Added by Gabriel Lowy on November 7, 2013 at 7:00am — No Comments

Strategy Should Be Big Data Job #2

I suggested in a previous post that assuring user experience should be big data job #1 http://tech-tonics.org/assuring-user-experience-is-big-data-job-one/.  In conjunction with this thesis, security should be big data job #2.  The point here is that if an organization cannot assure the user experience and secure the data then all of its big data ambitions are for naught. 

The threat landscape is…

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Added by Gabriel Lowy on August 12, 2013 at 8:45pm — No Comments

Data Discovery's Next Chapter

Data discovery’s next chapter will see an explosion in analytics globally – from tens of thousands of data analysts today to tens of millions of business users within five years.  Key drivers will be further advances in easy-to-use interfaces, the marriage of data discovery and unified information access (UIA) and greater mobile capabilities. This is in keeping with the shift in enterprise spending from legacy database architectures with rigid historical reporting to real-time, event-driven,…

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Added by Gabriel Lowy on July 12, 2013 at 3:16pm — No Comments

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