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Reading: ETL, Data Quality and MDM for Mid-sized Business
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SmartData Collective > Uncategorized > ETL, Data Quality and MDM for Mid-sized Business
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ETL, Data Quality and MDM for Mid-sized Business

SteveSarsfield
Last updated: 2010/01/21 at 11:07 PM
SteveSarsfield
5 Min Read
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Is data quality a luxury that only large companies should be able to afford?  Of course the answer is no. Your company should be paying attention to data quality no matter if you are a Fortune 1000 or a startup. Like a toothache, poor data quality will never get better on its own.

As a company naturally grows, the effects of poor data quality multiply.  When a small company expands, it naturally develops new IT systems. Mergers often bring in new IT systems, too. The impact of poor data quality slowly invades and hinders the company’s ability to service customers, keep the supply chain efficient and understand its own business. Paying attention to data quality early and often is a winning strategy for even the small and medium-sized enterprise (SME).

However, SME’s have challenges with the investment needed in enterprise level software…

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Is data quality a luxury that only large companies should be able to afford?  Of course the answer is no. Your company should be paying attention to data quality no matter if you are a Fortune 1000 or a startup. Like a toothache, poor data quality will never get better on its own.

As a company naturally grows, the effects of poor data quality multiply.  When a small company expands, it naturally develops new IT systems. Mergers often bring in new IT systems, too. The impact of poor data quality slowly invades and hinders the company’s ability to service customers, keep the supply chain efficient and understand its own business. Paying attention to data quality early and often is a winning strategy for even the small and medium-sized enterprise (SME).

However, SME’s have challenges with the investment needed in enterprise level software. While it’s true that the benefit often outweighs the costs, it is difficult for the typical SME to invest in the license, maintenance and services needed to implement a major data integration, data quality or MDM solution.

At the beginning of this year, I started with a new employer, Talend. I became interested in them because they were offering something completely different in our world – open source data integration, data quality and MDM.  If you go to the Talend Web site, you can download some amazing free software, like:

  • a fully functional, very cool data integration package (ETL) called Talend Open Studio
  • a data profiling tool, called Talend Open Profiler, providing charts and graphs and some very useful analytics on your data

The two packages sit on top of a database, typically MySQL – also an open source success.

For these solutions, Talend uses a business model similar to what my friend Jim Harris has just blogged about – Freemium. Under this new model, free open source content is made available to everyone—providing the opportunity to “up-sell” premium content to a percentage of the audience. Talend works like this.  You can enhance your experience from Talend Open Studio by purchasing Talend Integration Suite (in various flavors).  You can take your data quality initiative to the next level by upgrading Talend Open Profiler to Talend Data Quality.

If you want to take the combined data integration and data quality to an even higher level, Talend just announced a complete Master Data Management (MDM) solution, which you can use in a more enterprise-wide approach to data governance. There’s a very inexpensive place to start and an evolutionary path your company can take as it matures its data management strategy.

The solutions have been made possible by the combined efforts of the open source community and Talend, the corporation. If you’d like, you can take a peek at some source code, use the basic software and try your hand at coding an enhancement. Sharing that enhancement with community will only lead to a world full of better data, and that’s a very good thing.

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TAGGED: data integration tools, data quality, small and medium-sized enterprise (sme)
SteveSarsfield January 21, 2010
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