Software Implementations: Has Anything Really Changed in the Last 50 Years?

Judy Wadness, Head of Delivery, Global Professional Services (GPS), Eagle Investment Systems

This year sees the 50th anniversary of: the release of The Beatles’ first album, the first James Bond movie, Martin Luther King’s ‘I have a dream’ speech, the launch of Pop Tarts, the introduction of ZIP codes and JFK’s assassination. On the technology front, we should also acknowledge the introduction of push button telephones and instant replays. 

The world has drastically changed since these events. Who can imagine a world today without the internet and email, cable TV and WiFi, smartphones and tablets?

Within the world of software implementations a particular phrase is also celebrating a 50th anniversary (according to Wikipedia at least): Garbage In, Garbage Out. It remains as pertinent today as is did back in 1963.

One of the major challenges of implementing any new software has always been the quality of the data. A piece of software can meet all of the business requirements exactly and the technical platform can align perfectly with the given infrastructure, but bad data will still cause budget and timeline overruns.

When companies look to deploy new software, much attention is paid to estimating the effort for dealing with the functionality, but an early assessment of the current data can actually streamline the software implementation. Undertaking a thorough examination of the data in terms of availability, timeliness, accuracy, completeness and consistency, will greatly improve the probability of a successful implementation. A Data Readiness Assessment will identify the time and effort needed to deal with any bad or missing data to ensure that the implementation goes as smoothly as possible. By embracing this risk mitigation strategy, ‘Garbage In, Garbage Out’ can truly be consigned to history.


One Response to Software Implementations: Has Anything Really Changed in the Last 50 Years?
  1. adt

    Great points! Some things don’t change and the need for quality data is high on that list.

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