A Data Science Central Community
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
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
Automated tiering improves storage ROI, particularly for financial firms that are deploying solid-state drives in high-performance environments. Auto-tiering is a key enabling technology for storage administrators to improve workload performance and user experience by better understanding the value of data.
Storage administrators have generally over-provisioned storage for each new application they rolled out, particularly if it was business-critical. And in order to assure…Continue
Added by Gabriel Lowy on April 27, 2014 at 7:42am — 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
As US equity markets closed out 2013 at new highs the future of equity research is facing significant change. With “price targets” being reset for many soaring social, cloud and big data analytics stocks let’s meet the new software analyst. But first, a little background.
Equity research has marginally evolved with investment styles and trading strategies over the past couple of decades. The days of primary fundamental research, particularly on the sell-side, faded long ago. Most…Continue
Added by Gabriel Lowy on January 4, 2014 at 11:30am — No Comments
Several steps can be taken to improve VC success rates. Many technology entrepreneurs/start-ups get overwhelmed and frustrated by inappropriate capital allocations and/or meddling by early-stage investors posturing for an eventual exit.
Much like the steroid-enhanced era in baseball, there is now excessive investment emphasis on prodigious home runs rather than batting averages made up of many singles and doubles.
The first step for any investor is to understand the…Continue
Added by Gabriel Lowy on November 13, 2013 at 7:10am — 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 24, 2013 at 4:37pm — No Comments
Added by Gabriel Lowy on October 9, 2013 at 1:04pm — No Comments
Added by Gabriel Lowy on October 4, 2013 at 7:16am — No Comments
Financial institutions, like many other industries, are grappling with how best to harness and extract value from big data. Enabling users to either “see the story” or “tell their story” is the key to deriving value with data visualization tools, especially as data sets continue to grow.
With terabytes and petabytes of data flooding organizations, legacy architectures and infrastructures are becoming overmatched to store, manage and analyze big data. IT teams are ill-equipped to…Continue
Banks, investment firms and insurance companies are struggling to meet demand for mobile applications by both consumers and employees, particularly in organizations that have implemented BYOD (bring your own device) programs. With the explosion in the number of data points firms are analyzing, coupled with the proliferation of smartphones and tablets, more enterprises need to implement a cross-platform development strategy for better mobile app performance with HTML5.
Most of the new…Continue
Added by Gabriel Lowy on September 5, 2013 at 3:07pm — No Comments
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…Continue
Added by Gabriel Lowy on August 12, 2013 at 8:45pm — No Comments
Evaluating potential acquisition targets involves a combination of qualitative and quantitative factors, including fundamental market analysis and company-specific execution history. This post focuses strictly on eleven financial clues in acquisition targets that either a strategic or financial acquirer will look for.
Added by Gabriel Lowy on August 7, 2013 at 10:24am — No Comments
The mainframe’s strongest assets – scalability, reliability, availability, security and manageability – are the very characteristics that enterprises are most concerned about as they consider moving business-critical services to a cloud-based architecture. Can the mainframe be a cloud platform?
Recent surveys underscore customer confidence in the mainframe’s ability to perform in new service delivery models. Growing numbers are considering IBM’s zSeries Enterprise as a cloud…Continue
Added by Gabriel Lowy on August 1, 2013 at 10:21am — No Comments