The Magic of Mashups - GoodData

The Magic of Mashups

We are in the wake of a technology renaissance, and data mashups are just one example of the impact these simpler, more nimble technologies are making. It’s estimated that the data mashup market will reach $700 million by 2013. ¹

Financial Services Technology defines Enterprise Data Mashups as “the discipline and technologies that enable the integration of structured, semi-structured (Web) and unstructured data sources…typically characterized by lightweight and flexible architectures to extract data from heterogeneous sources, build semantic relationships across them, and provide real-time access to the composite virtual data services.” ²

Mashups take integration a step further by merging access to multiple integrated data sources in real time. What can you learn from mashing up data sources? More than you know! For example:

  • Mashup your Sales CRM data and your Marketing automation data to find out which lead source produces the best close rate.
  • Mashup HR data with Sales data and learn how tenure affects a salesperson’s close rate.
  • Mashup Support Tickets with Sales data and see which accounts that are coming up for renewal have the most open tickets (and address those, pronto!).

GoodData is one innovative cloud-based platform that was created in response to changing business imperatives, including the need to increase information agility and transparency at a lower cost. Another driver is the proliferation of social and consumer-generated content that requires companies to integrate an ever-changing landscape of unstructured data sources.

Never before has there been such a flexible way to integrate and understand your business data. When you create mashups, you can unlock powerful new insights that lead to smarter business decisions throughout your organization.

What mashup would you most like to see?

[1] Seach Data Management
[2] Financial Sevices Technologies

1 Comment

For anyone trying to make better decisons with data, first, you need a meaningful comparsion.  It about providing context to your data.

As a web analyst, my data mashup of choice includes matching keywords for PPC ads with bounce rate and sales order. And what I would like to see is a mashup of industry averages with our own organizational figures.

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