Using enterprise mashups to save billions

I just came across this from Joe McKendrick on ZDNet Blogs that caught my eye – Study: Increase data usability, save billions.
Here is an excerpt:
Researchers say data usability can be improved by focusing on the following factors:
  • Intelligence of data “can be improved through the accuracy of the prediction, trends analysis, recommendations and profile matching/associations made by the associated applications. For example, what percentage of recommendations made by a business intelligence application results in cross-selling?”
  • Remote access to data and applications is essential in an increasingly mobile workforce.
  • Sales mobility “involves the ability of salespersons to use portable devices and applications to exchange information related to all aspects of a deal or transaction with a customer.”
  • Improvements in data quality will result in improvements that “may come through better and timely decisions (which may increase customer satisfaction, loyalty and hence revenues), as well as fewer errors and rework, lower working capital requirements, faster receivables, etc. (which will lower costs).”

A 10 percent improvement can add up to big dollars. Researchers determined that if a median Fortune 1000 business (36,000 employees and $388,000 in sales per employee) increased the usability of its data by just 10 percent, it would translate to an increase in $2.01 billion in total revenue every year, or $55,900 in additional sales per employee annually. End of excerpt

I find this is very interesting. But, the question is how do you go about achieving this.
  1. You don’t want to be spending millions to save millions.
  2. You don’t want to take years to achieve this goals.

If you can afford to do either, then I suggest, you read no further.

To me, enterprise mashups have been at this for a few years. Take remote access to data and applications for instance. It is dead easy for us to create a new enterprise mashup that wraps the existing data and applications, creates a specific usable view of that data, and then expose this mashup as a Web Service (SOAP or REST), using Apps to your end users and customers. This does not take years, it can be done in hours and days today.

Consider mobility. You want to not only create a more usable view of data, but in turn ensure that this data is available for your mobile users to interact with wherever they are via any portable device. This too is fairly easy to achieve using enterprise mashups.

Basically, enterprise mashups create that agility layer in your enterprise architecture to deliver concise, specific, usable data and applications to your users, without disrupting your current enterprise architecture. This new agility layer can respond rapidly to new business needs by changing the enterprise mashups and creating new enterprise mashups when required.

Enterprise mashups don’t solve the traditional problem of data cleansing in the traditional way…Extract/Transform/Load (ETL). That’s the whole point. Most customers can’t afford (time or resources) cleansing data that way. I think that enterprise mashups thrive when conventional solutions become expensive and time consuming.

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