April 28, 2013

SaaS Business Model Competitive Advantage Revisited
Network automation enables the SaaS vendor to service not just one customer, but many customers from a single infrastructure. With each new customer added, the average cost of operating that infrastructure is reduced for all. When you ask “What is SaaS?”, it is easy to get hung up on things like multi-tenancy, virtualization, and so forth. When you ask “Why is SaaS?”, there are no such concerns. What matters is uniform, automated infrastructure and scale.


Enterprise Data Platform Reference Architecture
This article proposes reference architecture for creating a new generation platform for delivering enterprise Data Information to knowledge workers to help improve their productivity and accuracy. It also articulates some high-level design options for implementing the platform.


Risk Enchantment, The Holy Grail of Risk
“I define risk enchantment as the process of delighting people with risk management. The outcome of risk enchantment is voluntary and long-lasting support that is mutually beneficial.”. How powerful a statement is that? And now imagine working for an organisation where the CEO talks about risk management like this! Here are top 10 quotes that resonated with the Enchantment from a risk management perspective.


Pivotal Launched From VMware, EMC Technologies
Pivotal's new services and newly retailored software packages will allow enterprises the ability to replicate the IT operations used by today's "Internet Giants" such as Google, Facebook, and Amazon Web Services, said Paul Maritz, who is the Pivotal CEO and was the CEO of VMware from 2008 until 2012. Maritz spoke in a webcast Wednesday launching the new company.


Big Data vs. Business Intelligence vs. Customer Intelligence
In this video from McKinsey and Company, Shashi Upadhyay explains how Big Data can provide forward-looking insights for businesses, whereas customer intelligence and business intelligence have traditionally focused on past data. By starting with the problem your company is trying to solve (e.g. improve conversion rates, improve cross-sell rates, attract more prospects, etc.), your company will not need to focus on a large BI project. Instead, consider using a Big Data approach and analyzing internal and external data sets.


Three Essential Steps to Big Data Success
If you’re going to start a Big Data project, there are a few foundational steps to success you should know. While there’s a lot of advice about starting or succeeding with Big Data, much of it is actually about data management in general. That’s fine — you’ll need those skills, but since they apply to any data project, they can’t really be called the essential — or, if you prefer, the quintessential — steps specific to Big Data.


Free Response-Time Database Monitoring Tool
IgniteFree takes the real time features of the award winning Confio Ignite 8 software and makes them free for all to use. Why? Confio believes that when more DBAs see how effective they can be with Response Time analysis, it will drive interest in the full enterprise features of Ignite 8.


Enterprise Architecture
An EA model is an aid to avoiding the waste associated with building the wrong systems; or building the right systems in the wrong business environment. It is also an aid to breaking down silos and fostering true collaboration between the business, IT and other stakeholders ... EA is about providing the correct information to strategic planners to allow them to be more effective in what they do.


Meet DSSD, Andy Bechtolsheim’s secret chip startup for big data
The DSSD system sounds like it treats files not as a series of bits but as an object that gets a name. That name is the file’s address and it stays the same for the life of the file. The result is there’s no central index that stands between sending the data to storage and storing it, and people can write to it in parallel and not worry abut overwrites. It is both faster and can scale out.


Develop Financial Applications with F# and QuantLib
QuantLib is an open source library for modeling, trading and risk management of quantitative finance that can be used with F# lanugage. In order to access QuantLib, you have to make use of NQuantLib.dll, which is a .NET component and NQuantLibc.dll, which is a native component.



Quote for the day:

"It is impossible to win the race unless you venture to run, impossible to win the victory unless you dare to battle. " -- Richard M. DeVos