Adaptive Software

August 31st, 2009 by Stefanos Damianakis

For a long time, the conventional wisdom in enterprise software implementations seemed to follow the old adage:

“There is nothing that can be done in a short time that can’t be done just as well in a long time.”

However, another old adage is “time is money” and there are many time-sensitive costs associated with enterprise software implementations that greatly increase their total cost of ownership and greatly decrease their total return on investment, including:

  • Software Installation and Configuration
  • Application Development
  • Production Deployment
  • Application Maintenance
  • Software Enhancements and Bug Fixes
  • Software Upgrades

We have also become conditioned to expect that a typical enterprise information initiative requires between 6 to 18 months to deploy, even when employing a agile (or phased) approach to application development.  However, with Gartner estimating that the volume of enterprise data also doubles every 18 months, the very challenge for which the enterprise is implementing a solution becomes a moving target.  The ground is therefore constantly shifting beneath our feet.

Day-to-day business challenges are evolving faster than the applications under development can come on-line – and by the time they do, the underlying business requirements they were based on have changed, forcing end-users to attempt to manually close the gap.  Basically, the business is being forced to adapt to the technology.

The current economic recession is also forcing everyone to try to find ways of “doing more with less.”  Some have been looking into the potential cost savings and operational efficiencies offered by cloud computing and software-as-a-service (SaaS).  But perhaps we should also be challenging vendors to not only provide enterprise software that is easier to install, configure, develop, deploy, and maintain – but that is also adaptive to changing business logic.

In order to remain competitive in such a constantly evolving environment, we need technology that adapts to business needs.  We need adaptive software.

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Data matching is a fundamental operation in many applications, from improving data quality to implementing master data management. Stef Damianakis, CEO of Netrics, a world leader in matching technology, shares his thoughts on the state of the technology and business of data matching.

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