Future
What is the next step into the future?
Innovation in the right direction opens new opportunities. And development in the wrong direction closes certain openings. Same is the case with this architecture too.
A logical next step would be that the architecture and projects see to it that every businessman works with a dashboard in front of him.
That all the software produced is affordable and solves the real and practical problems faced by the business community.
The same architecture interpreted in a completely different way would form a perfect retail strategy catering to every need of the business community.
Moving further scientifically, a business rules add-on to the architecture has been propagated which can solve as much. A more robust inference engine can make the technology more flexible and can solve many more problems using intelligent software in the form of expert systems.
With the evolution and maturity software and middleware has attained supporting the services architecture, it should be a matter of time to tap the enormous potential in data management.
Although many middleware tools have been developed for SOA, the skewed emphasis on business handicaps them when implementing projects in other domains of knowledge. Its essential that the tools are generalized and holistically cater to the needs of every subject, so that many more projects can be done in diverse fields.
SOA and SaaS have the potential to create jobs in many fields of knowledge, and they don’t tread on a narrow path to recession. It’s the ability and eagerness of companies to make things happen.
And the sky is the limit.
Some more practical and simple projects utilizing the strategy.
A word to word interpretation is a business strategy implemented by almost every company. Collecting business data, analyzing it with their services/business processes and displaying it as dynamic dashboards.
A more scientific interpretation would be solving the problem of earthquakes. Collect quake data from various regions using sensors, design models to analyze the data and predict earthquakes.
Interpreting in a medical sense. The same architecture can be used for medical diagnostics. With ever increasing technology penetration, a more affordable diagnostic system can be formed. By collecting the patient data using various instruments, analyzing the data at centralized locations using the best of models. And displaying the results on dashboards at the remotest of places at a fraction of today’s costs.
A governmental approach too utilizes the same architecture. By collecting countrywide data of the population and analyzing the same data in various ways for different departments to get unique insights and displaying the results on various types of dashboards.
Similarly the architecture can be used for knowledge dispersal in a practical way. Using dummy data and simulation a student can always learn real world concepts.
And many other practical problems can be solved with the same architecture.
Some Interesting implementations of Data management and Software as a Service
NASA researchers have successfully completed the first demonstration of a prototype tsunami prediction system. Using global and regional real-time data from hundreds of GPS sites, the system can quickly assess large earthquakes and accurately predict the size of resulting tsunamis. http://m.gizmodo.com/5567254/nasa-tests-new-gps+based-tsunami-prediction-system.
Earthquake researchers in California hope to take advantage of the motion sensors in laptops to create an earthquake-sensing network. By putting computers in homes and businesses to work as seismic monitors, the researchers hope to pull together a wealth of information on major quakes, and perhaps even offer early warnings, giving a few seconds' notice of a potentially devastating quake. http://www.technologyreview.in/computing/20658/
UPS turns data analysis into big savings. The company uses telematics and complex data analysis to get the most efficiency out of its trucks. The system saves the company millions of dollars and up to 1.4 million gallons of fuel a year, as well as making the company's drivers safer. http://news.cnet.com/8301-13772_3-20001576-52.html
IBM launches private business analytics cloud. Internally, IBM's effort is dubbed Blue Insight, a business analytics cloud that will give 200,000 employees access to key corporate data around the world. Blue Insight will suck in data from 100 different data stores and warehouses. The data will then be dished out to salespeople and developers. http://news.cnet.com/8301-1001_3-10398165-92.html
Fujitsu Ltd and Microsoft Corp will share data centers worldwide to catch up with Google Inc and other pioneers in providing software and computing services online.
Space-Time Research announced a partnership to bring Tourism Australia data to Australian classrooms to give students experience with data analytics. The project, implemented by Education Services Australia provides online, real-time exploration and analytics of the large Tourism Australia database to support the National Curriculum. Space-Time Research has provided a cloud-based version of the SuperVIEW analysis and visualization product which is being made available to primary and secondary school classrooms across Australia. http://www.spacetimeresearch.com/esa-datagenie.html