Big data and analytics can help a business predict consumer behavior, improve decision-making across the board and determine the ROI of its marketing efforts. By addressing these aspects adequately, the business would not only be able to protect its market share, but also expand into new territories. The below infographic by Villanova University School of Business Online takes a detailed look at this…

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.…

In this new year 2016, we should be excited that Apache Spark community have released and announced the availability of Apache Spark 1.6, which is the 7th release on the 1.x line.

• Committers – Contributors to Spark had crossed 1000, which is doubled.

• Patches – Apache Spark 1.6 version includes & covers 1000 patches.

• Run SQL query on files – This feature helps user and application to…

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…

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…

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…

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…

Data is everywhere. We get that. However, the focus is no longer on who owns the MOST data, but how to turn this data into insights to solve business challenges and create competitive advantage.

Most companies are focused on just a fraction of what their data is telling them. However, according to a recent study by KPMG (…

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…

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…

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…

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…

While we…

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…

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…

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…

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…

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…

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…

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…